01_Timelags.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "94346b25-543d-4021-b37e-a7b9f112fe48",
   "metadata": {},
   "source": [
    "# Estimation of Timelags in Translation from Clinical Trials to Clinical Guidelines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1cd99224-7c45-4b5a-af19-8ee946aa3a02",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from api.app import app\n",
    "from fastapi.testclient import TestClient\n",
    "import os\n",
    "\n",
    "with TestClient(app) as client:\n",
    "    # Initialize state\n",
    "    pass    \n",
    "\n",
    "session = app.state.session()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e575bf40-1ef7-43e3-97cf-7be907bb0d0f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pathlib import Path\n",
    "\n",
    "def load_df(base_path):\n",
    "    annos = pd.read_csv(base_path / 'predictions/silver_standard_entities_linked_xmen.tsv', sep='\\t')\n",
    "    annos['guideline_id'] = annos.document.map(lambda s: s[3:-5]) \n",
    "    meta = pd.read_csv(base_path / 'plain_text' / 'metadata_index.tsv', sep='\\t')\n",
    "    return pd.merge(annos, meta.drop(columns=['guideline_id']), left_on='document', right_on='file')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2d0e2617-f8b6-45e8-a98e-744793c3c377",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "base_20 = Path('data/ggponc/v2.0_2022_03_24')\n",
    "base_21 = Path('data/ggponc/v2.1_2023_03_30')\n",
    "base_22 = Path('data/ggponc/v2.2_2024_04_22')\n",
    "base_23 = Path('data/ggponc/v2.3_2024_06_18')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cc09c60a-9472-4b6d-a045-48af34cac9df",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "dfs = { p.name : load_df(p) for p in [base_20, base_21, base_22, base_23] }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0e5745e3-f105-460f-ac7c-3e2e6a90172d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['v2.0_2022_03_24', 'v2.1_2023_03_30', 'v2.2_2024_04_22', 'v2.3_2024_06_18']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "versions = list(dfs.keys())\n",
    "versions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2af30bfb-4634-4cfb-b041-d3e33ec4ad9a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "v2.0_2022_03_24 225977\n",
      "v2.1_2023_03_30 257325\n",
      "v2.2_2024_04_22 275037\n",
      "v2.3_2024_06_18 277676\n"
     ]
    }
   ],
   "source": [
    "for d in versions:\n",
    "    print(d, len(dfs[d]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7f54852a-9d06-4cd5-97ed-d921c5bcf91d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['mundhoehlenkarzinom',\n",
       " 'magenkarzinom',\n",
       " 'kolorektales-karzinom',\n",
       " 'lungenkarzinom',\n",
       " 'praevention-zervixkarzinom',\n",
       " 'zervixkarzinom',\n",
       " 'hautkrebspraevention',\n",
       " 'malignes-melanom',\n",
       " 'aktinische-keratose-und-plattenepithelkarzinom-der-haut',\n",
       " 'mammakarzinom',\n",
       " 'pankreaskarzinom',\n",
       " 'hepatozellulaeres-karzinom-und-biliaere-karzinome',\n",
       " 'nierenzellkarzinom',\n",
       " 'oesophaguskarzinom',\n",
       " 'larynxkarzinom',\n",
       " 'endometriumkarzinom',\n",
       " 'maligne-ovarialtumoren',\n",
       " 'chronisch-lymphatische-leukaemie-cll',\n",
       " 'hodgkin-lymphom',\n",
       " 'follikulaeres-lymphom',\n",
       " 'harnblasenkarzinom',\n",
       " 'hodentumoren',\n",
       " 'prostatakarzinom',\n",
       " 'peniskarzinom',\n",
       " 'analkarzinom',\n",
       " 'psychoonkologie',\n",
       " 'palliativmedizin',\n",
       " 'supportive-therapie',\n",
       " 'komplementaermedizin',\n",
       " 'adulte-weichgewebesarkome',\n",
       " 'multiples-myelom',\n",
       " 'dlbcl',\n",
       " 'oro--und-hypopharynxkarzinom',\n",
       " 'pomgat']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "guidelines = dfs[max(versions)].guideline_id.unique()\n",
    "list(guidelines)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "de2f0631-756d-4ffe-8350-9c91dffda959",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import yaml\n",
    "version_config = yaml.safe_load(open('data/topic_versions.yaml'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a3e31b19-c5fa-4624-8865-59e3ad5ffda9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 adulte-weichgewebesarkome 1.0 1.1\n",
      "1 aktinische-keratose-und-plattenepithelkarzinom-der-haut 1.1 2.0\n",
      "2 1.2 No Update\n",
      "3 1.0 No Update\n",
      "4 1.0 No Update\n",
      "5 endometriumkarzinom 1.0 2.0\n",
      "6 1.0 No Update\n",
      "7 2.0 No Update\n",
      "8 hepatozellulaeres-karzinom-und-biliaere-karzinome 2.0 3.0\n",
      "8 hepatozellulaeres-karzinom-und-biliaere-karzinome 3.0 4.0\n",
      "9 1.1 No Update\n",
      "10 hodgkin-lymphom 3.1 3.2\n",
      "11 2.1 No Update\n",
      "12 1.1 No Update\n",
      "13 lungenkarzinom 1.0 2.0\n",
      "13 lungenkarzinom 2.0 3.0\n",
      "14 2.0 No Update\n",
      "15 maligne-ovarialtumoren 5.0 5.1\n",
      "16 3.3 No Update\n",
      "17 4.4 No Update\n",
      "18 1.0 No Update\n",
      "19 3.0 No Update\n",
      "20 nierenzellkarzinom 3.0 4.0\n",
      "21 1.0 No Update\n",
      "22 oesophaguskarzinom 3.0 3.1\n",
      "22 oesophaguskarzinom 3.1 4.0\n",
      "23 pankreaskarzinom 1.0 2.0\n",
      "23 pankreaskarzinom 2.0 3.0\n",
      "24 1.0 No Update\n",
      "25 prostatakarzinom 6.2 7.0\n",
      "26 zervixkarzinom 2.1 2.2\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>cur_release</th>\n",
       "      <th>cur_release_date</th>\n",
       "      <th>cur_n_ents</th>\n",
       "      <th>cur_n_recs</th>\n",
       "      <th>cur_max_rec_date</th>\n",
       "      <th>prev_release</th>\n",
       "      <th>prev_release_date</th>\n",
       "      <th>prev_version</th>\n",
       "      <th>prev_n_ents</th>\n",
       "      <th>prev_n_recs</th>\n",
       "      <th>prev_max_rec_date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>guideline_id</th>\n",
       "      <th>cur_version</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>adulte-weichgewebesarkome</th>\n",
       "      <th>1.1</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>7452</td>\n",
       "      <td>1034</td>\n",
       "      <td>2022-03-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7326</td>\n",
       "      <td>1029</td>\n",
       "      <td>2021-08-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aktinische-keratose-und-plattenepithelkarzinom-der-haut</th>\n",
       "      <th>2.0</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-12-01</td>\n",
       "      <td>9103</td>\n",
       "      <td>480</td>\n",
       "      <td>2022-05-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>1.1</td>\n",
       "      <td>6512</td>\n",
       "      <td>327</td>\n",
       "      <td>2019-05-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>endometriumkarzinom</th>\n",
       "      <th>2.0</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>8887</td>\n",
       "      <td>1364</td>\n",
       "      <td>2022-05-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2018-04-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6532</td>\n",
       "      <td>956</td>\n",
       "      <td>2017-12-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">hepatozellulaeres-karzinom-und-biliaere-karzinome</th>\n",
       "      <th>3.0</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-07-01</td>\n",
       "      <td>5748</td>\n",
       "      <td>689</td>\n",
       "      <td>2022-06-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2021-06-01</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5610</td>\n",
       "      <td>682</td>\n",
       "      <td>2021-03-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>6485</td>\n",
       "      <td>720</td>\n",
       "      <td>2023-03-01T00:00:00Z</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-07-01</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5748</td>\n",
       "      <td>689</td>\n",
       "      <td>2022-06-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hodgkin-lymphom</th>\n",
       "      <th>3.2</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>5045</td>\n",
       "      <td>747</td>\n",
       "      <td>2021-12-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2022-03-01</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4923</td>\n",
       "      <td>767</td>\n",
       "      <td>2020-10-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">lungenkarzinom</th>\n",
       "      <th>2.0</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>16596</td>\n",
       "      <td>2080</td>\n",
       "      <td>2022-11-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2018-02-01</td>\n",
       "      <td>1.0</td>\n",
       "      <td>12557</td>\n",
       "      <td>1629</td>\n",
       "      <td>2018-02-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>17420</td>\n",
       "      <td>2322</td>\n",
       "      <td>2024-02-01T00:00:00Z</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>2.0</td>\n",
       "      <td>16596</td>\n",
       "      <td>2080</td>\n",
       "      <td>2022-11-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maligne-ovarialtumoren</th>\n",
       "      <th>5.1</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-05-01</td>\n",
       "      <td>3633</td>\n",
       "      <td>480</td>\n",
       "      <td>2021-10-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3443</td>\n",
       "      <td>472</td>\n",
       "      <td>2019-11-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nierenzellkarzinom</th>\n",
       "      <th>4.0</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2023-02-01</td>\n",
       "      <td>7612</td>\n",
       "      <td>583</td>\n",
       "      <td>2022-11-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2021-11-01</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6544</td>\n",
       "      <td>529</td>\n",
       "      <td>2020-09-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">oesophaguskarzinom</th>\n",
       "      <th>3.1</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>5339</td>\n",
       "      <td>660</td>\n",
       "      <td>2022-03-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4623</td>\n",
       "      <td>593</td>\n",
       "      <td>2018-10-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>2023-12-01</td>\n",
       "      <td>5859</td>\n",
       "      <td>691</td>\n",
       "      <td>2023-06-01T00:00:00Z</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5339</td>\n",
       "      <td>660</td>\n",
       "      <td>2022-03-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pankreaskarzinom</th>\n",
       "      <th>3.0</th>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>5268</td>\n",
       "      <td>879</td>\n",
       "      <td>2024-03-01T00:00:00Z</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2021-12-01</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4310</td>\n",
       "      <td>867</td>\n",
       "      <td>2021-11-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prostatakarzinom</th>\n",
       "      <th>7.0</th>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>10448</td>\n",
       "      <td>1546</td>\n",
       "      <td>2024-05-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>6.2</td>\n",
       "      <td>9448</td>\n",
       "      <td>1421</td>\n",
       "      <td>2021-03-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zervixkarzinom</th>\n",
       "      <th>2.2</th>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2022-03-01</td>\n",
       "      <td>8829</td>\n",
       "      <td>894</td>\n",
       "      <td>2021-03-01T00:00:00Z</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2021-05-01</td>\n",
       "      <td>2.1</td>\n",
       "      <td>8829</td>\n",
       "      <td>894</td>\n",
       "      <td>2021-03-01T00:00:00Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                    cur_release  \\\n",
       "guideline_id                                       cur_version                    \n",
       "adulte-weichgewebesarkome                          1.1          v2.1_2023_03_30   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0          v2.1_2023_03_30   \n",
       "endometriumkarzinom                                2.0          v2.1_2023_03_30   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0          v2.1_2023_03_30   \n",
       "                                                   4.0          v2.2_2024_04_22   \n",
       "hodgkin-lymphom                                    3.2          v2.1_2023_03_30   \n",
       "lungenkarzinom                                     2.0          v2.1_2023_03_30   \n",
       "                                                   3.0          v2.2_2024_04_22   \n",
       "maligne-ovarialtumoren                             5.1          v2.1_2023_03_30   \n",
       "nierenzellkarzinom                                 4.0          v2.1_2023_03_30   \n",
       "oesophaguskarzinom                                 3.1          v2.1_2023_03_30   \n",
       "                                                   4.0          v2.2_2024_04_22   \n",
       "pankreaskarzinom                                   3.0          v2.2_2024_04_22   \n",
       "prostatakarzinom                                   7.0          v2.3_2024_06_18   \n",
       "zervixkarzinom                                     2.2          v2.1_2023_03_30   \n",
       "\n",
       "                                                               cur_release_date  \\\n",
       "guideline_id                                       cur_version                    \n",
       "adulte-weichgewebesarkome                          1.1               2022-06-01   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0               2022-12-01   \n",
       "endometriumkarzinom                                2.0               2022-09-01   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0               2022-07-01   \n",
       "                                                   4.0               2023-08-01   \n",
       "hodgkin-lymphom                                    3.2               2022-10-01   \n",
       "lungenkarzinom                                     2.0               2022-11-01   \n",
       "                                                   3.0               2024-03-01   \n",
       "maligne-ovarialtumoren                             5.1               2022-05-01   \n",
       "nierenzellkarzinom                                 4.0               2023-02-01   \n",
       "oesophaguskarzinom                                 3.1               2022-06-01   \n",
       "                                                   4.0               2023-12-01   \n",
       "pankreaskarzinom                                   3.0               2024-03-01   \n",
       "prostatakarzinom                                   7.0               2024-05-01   \n",
       "zervixkarzinom                                     2.2               2022-03-01   \n",
       "\n",
       "                                                                cur_n_ents  \\\n",
       "guideline_id                                       cur_version               \n",
       "adulte-weichgewebesarkome                          1.1                7452   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0                9103   \n",
       "endometriumkarzinom                                2.0                8887   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0                5748   \n",
       "                                                   4.0                6485   \n",
       "hodgkin-lymphom                                    3.2                5045   \n",
       "lungenkarzinom                                     2.0               16596   \n",
       "                                                   3.0               17420   \n",
       "maligne-ovarialtumoren                             5.1                3633   \n",
       "nierenzellkarzinom                                 4.0                7612   \n",
       "oesophaguskarzinom                                 3.1                5339   \n",
       "                                                   4.0                5859   \n",
       "pankreaskarzinom                                   3.0                5268   \n",
       "prostatakarzinom                                   7.0               10448   \n",
       "zervixkarzinom                                     2.2                8829   \n",
       "\n",
       "                                                                cur_n_recs  \\\n",
       "guideline_id                                       cur_version               \n",
       "adulte-weichgewebesarkome                          1.1                1034   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0                 480   \n",
       "endometriumkarzinom                                2.0                1364   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0                 689   \n",
       "                                                   4.0                 720   \n",
       "hodgkin-lymphom                                    3.2                 747   \n",
       "lungenkarzinom                                     2.0                2080   \n",
       "                                                   3.0                2322   \n",
       "maligne-ovarialtumoren                             5.1                 480   \n",
       "nierenzellkarzinom                                 4.0                 583   \n",
       "oesophaguskarzinom                                 3.1                 660   \n",
       "                                                   4.0                 691   \n",
       "pankreaskarzinom                                   3.0                 879   \n",
       "prostatakarzinom                                   7.0                1546   \n",
       "zervixkarzinom                                     2.2                 894   \n",
       "\n",
       "                                                                    cur_max_rec_date  \\\n",
       "guideline_id                                       cur_version                         \n",
       "adulte-weichgewebesarkome                          1.1          2022-03-01T00:00:00Z   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0          2022-05-01T00:00:00Z   \n",
       "endometriumkarzinom                                2.0          2022-05-01T00:00:00Z   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0          2022-06-01T00:00:00Z   \n",
       "                                                   4.0          2023-03-01T00:00:00Z   \n",
       "hodgkin-lymphom                                    3.2          2021-12-01T00:00:00Z   \n",
       "lungenkarzinom                                     2.0          2022-11-01T00:00:00Z   \n",
       "                                                   3.0          2024-02-01T00:00:00Z   \n",
       "maligne-ovarialtumoren                             5.1          2021-10-01T00:00:00Z   \n",
       "nierenzellkarzinom                                 4.0          2022-11-01T00:00:00Z   \n",
       "oesophaguskarzinom                                 3.1          2022-03-01T00:00:00Z   \n",
       "                                                   4.0          2023-06-01T00:00:00Z   \n",
       "pankreaskarzinom                                   3.0          2024-03-01T00:00:00Z   \n",
       "prostatakarzinom                                   7.0          2024-05-01T00:00:00Z   \n",
       "zervixkarzinom                                     2.2          2021-03-01T00:00:00Z   \n",
       "\n",
       "                                                                   prev_release  \\\n",
       "guideline_id                                       cur_version                    \n",
       "adulte-weichgewebesarkome                          1.1          v2.0_2022_03_24   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0          v2.0_2022_03_24   \n",
       "endometriumkarzinom                                2.0          v2.0_2022_03_24   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0          v2.0_2022_03_24   \n",
       "                                                   4.0          v2.1_2023_03_30   \n",
       "hodgkin-lymphom                                    3.2          v2.0_2022_03_24   \n",
       "lungenkarzinom                                     2.0          v2.0_2022_03_24   \n",
       "                                                   3.0          v2.1_2023_03_30   \n",
       "maligne-ovarialtumoren                             5.1          v2.0_2022_03_24   \n",
       "nierenzellkarzinom                                 4.0          v2.0_2022_03_24   \n",
       "oesophaguskarzinom                                 3.1          v2.0_2022_03_24   \n",
       "                                                   4.0          v2.1_2023_03_30   \n",
       "pankreaskarzinom                                   3.0          v2.1_2023_03_30   \n",
       "prostatakarzinom                                   7.0          v2.0_2022_03_24   \n",
       "zervixkarzinom                                     2.2          v2.0_2022_03_24   \n",
       "\n",
       "                                                               prev_release_date  \\\n",
       "guideline_id                                       cur_version                     \n",
       "adulte-weichgewebesarkome                          1.1                2021-09-01   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0                2020-03-01   \n",
       "endometriumkarzinom                                2.0                2018-04-01   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0                2021-06-01   \n",
       "                                                   4.0                2022-07-01   \n",
       "hodgkin-lymphom                                    3.2                2022-03-01   \n",
       "lungenkarzinom                                     2.0                2018-02-01   \n",
       "                                                   3.0                2022-11-01   \n",
       "maligne-ovarialtumoren                             5.1                2021-09-01   \n",
       "nierenzellkarzinom                                 4.0                2021-11-01   \n",
       "oesophaguskarzinom                                 3.1                2021-10-01   \n",
       "                                                   4.0                2022-06-01   \n",
       "pankreaskarzinom                                   3.0                2021-12-01   \n",
       "prostatakarzinom                                   7.0                2021-10-01   \n",
       "zervixkarzinom                                     2.2                2021-05-01   \n",
       "\n",
       "                                                               prev_version  \\\n",
       "guideline_id                                       cur_version                \n",
       "adulte-weichgewebesarkome                          1.1                  1.0   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0                  1.1   \n",
       "endometriumkarzinom                                2.0                  1.0   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0                  2.0   \n",
       "                                                   4.0                  3.0   \n",
       "hodgkin-lymphom                                    3.2                  3.1   \n",
       "lungenkarzinom                                     2.0                  1.0   \n",
       "                                                   3.0                  2.0   \n",
       "maligne-ovarialtumoren                             5.1                  5.0   \n",
       "nierenzellkarzinom                                 4.0                  3.0   \n",
       "oesophaguskarzinom                                 3.1                  3.0   \n",
       "                                                   4.0                  3.1   \n",
       "pankreaskarzinom                                   3.0                  2.0   \n",
       "prostatakarzinom                                   7.0                  6.2   \n",
       "zervixkarzinom                                     2.2                  2.1   \n",
       "\n",
       "                                                                prev_n_ents  \\\n",
       "guideline_id                                       cur_version                \n",
       "adulte-weichgewebesarkome                          1.1                 7326   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0                 6512   \n",
       "endometriumkarzinom                                2.0                 6532   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0                 5610   \n",
       "                                                   4.0                 5748   \n",
       "hodgkin-lymphom                                    3.2                 4923   \n",
       "lungenkarzinom                                     2.0                12557   \n",
       "                                                   3.0                16596   \n",
       "maligne-ovarialtumoren                             5.1                 3443   \n",
       "nierenzellkarzinom                                 4.0                 6544   \n",
       "oesophaguskarzinom                                 3.1                 4623   \n",
       "                                                   4.0                 5339   \n",
       "pankreaskarzinom                                   3.0                 4310   \n",
       "prostatakarzinom                                   7.0                 9448   \n",
       "zervixkarzinom                                     2.2                 8829   \n",
       "\n",
       "                                                                prev_n_recs  \\\n",
       "guideline_id                                       cur_version                \n",
       "adulte-weichgewebesarkome                          1.1                 1029   \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0                  327   \n",
       "endometriumkarzinom                                2.0                  956   \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0                  682   \n",
       "                                                   4.0                  689   \n",
       "hodgkin-lymphom                                    3.2                  767   \n",
       "lungenkarzinom                                     2.0                 1629   \n",
       "                                                   3.0                 2080   \n",
       "maligne-ovarialtumoren                             5.1                  472   \n",
       "nierenzellkarzinom                                 4.0                  529   \n",
       "oesophaguskarzinom                                 3.1                  593   \n",
       "                                                   4.0                  660   \n",
       "pankreaskarzinom                                   3.0                  867   \n",
       "prostatakarzinom                                   7.0                 1421   \n",
       "zervixkarzinom                                     2.2                  894   \n",
       "\n",
       "                                                                   prev_max_rec_date  \n",
       "guideline_id                                       cur_version                        \n",
       "adulte-weichgewebesarkome                          1.1          2021-08-01T00:00:00Z  \n",
       "aktinische-keratose-und-plattenepithelkarzinom-... 2.0          2019-05-01T00:00:00Z  \n",
       "endometriumkarzinom                                2.0          2017-12-01T00:00:00Z  \n",
       "hepatozellulaeres-karzinom-und-biliaere-karzinome  3.0          2021-03-01T00:00:00Z  \n",
       "                                                   4.0          2022-06-01T00:00:00Z  \n",
       "hodgkin-lymphom                                    3.2          2020-10-01T00:00:00Z  \n",
       "lungenkarzinom                                     2.0          2018-02-01T00:00:00Z  \n",
       "                                                   3.0          2022-11-01T00:00:00Z  \n",
       "maligne-ovarialtumoren                             5.1          2019-11-01T00:00:00Z  \n",
       "nierenzellkarzinom                                 4.0          2020-09-01T00:00:00Z  \n",
       "oesophaguskarzinom                                 3.1          2018-10-01T00:00:00Z  \n",
       "                                                   4.0          2022-03-01T00:00:00Z  \n",
       "pankreaskarzinom                                   3.0          2021-11-01T00:00:00Z  \n",
       "prostatakarzinom                                   7.0          2021-03-01T00:00:00Z  \n",
       "zervixkarzinom                                     2.2          2021-03-01T00:00:00Z  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "update_df = []\n",
    "\n",
    "for i, (guideline_id, v) in enumerate(version_config.items()):\n",
    "    gl_versions = sorted(v['versions'].keys())\n",
    "    for v1, v2 in zip(gl_versions, gl_versions[1:]):\n",
    "        print(i, guideline_id, v1, v2)\n",
    "        ggponc_v1 = v['versions'][v1]['ggponc']\n",
    "        ggponc_v2 = v['versions'][v2]['ggponc']\n",
    "        if not ggponc_v1 or not ggponc_v2:\n",
    "            continue\n",
    "        df_gl_cur = dfs[ggponc_v2].query('guideline_id == @guideline_id')    \n",
    "        df_gl_prev = dfs[ggponc_v1].query('guideline_id == @guideline_id')\n",
    "\n",
    "        update_df.append(\n",
    "            {\n",
    "                'guideline_id' : guideline_id,\n",
    "                'cur_release' :  ggponc_v2,\n",
    "                'cur_release_date' : v['versions'][v2]['date'],\n",
    "                'cur_version' : v2,\n",
    "                'cur_n_ents' : len(df_gl_cur),\n",
    "                'cur_n_recs' : df_gl_cur.recommendation.sum(),\n",
    "                'cur_max_rec_date' : df_gl_cur.recommendation_creation_date.dropna().max(),\n",
    "                'prev_release' : ggponc_v1,\n",
    "                'prev_release_date' : v['versions'][v1]['date'],\n",
    "                'prev_version' : v1,\n",
    "                'prev_n_ents' : len(df_gl_prev),\n",
    "                'prev_n_recs' : df_gl_prev.recommendation.sum(),\n",
    "                'prev_max_rec_date' : df_gl_prev.recommendation_creation_date.dropna().max(),\n",
    "            }\n",
    "        )\n",
    "        \n",
    "    if len(gl_versions) ==1:\n",
    "        print(i, gl_versions[0], 'No Update')\n",
    "        \n",
    "    \n",
    "update_df = pd.DataFrame(update_df).set_index(['guideline_id', 'cur_version' ])\n",
    "update_df = update_df[update_df.prev_n_ents > 0]\n",
    "update_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9afbe351-2bb1-4d91-9d8a-ab614941f3e7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from IPython.display import display, Markdown\n",
    "\n",
    "#intv_type = ['Clinical_Drug', 'Therapeutic', 'Diagnostic']\n",
    "\n",
    "new_intv_df = []\n",
    "threshold = 0.1\n",
    "\n",
    "for (guideline_id, cur_version), r in update_df.iterrows():\n",
    "    prev_version = r.prev_release\n",
    "    current_version = r.cur_release\n",
    "\n",
    "    df_before_gl = dfs[prev_version].query('guideline_id == @guideline_id')\n",
    "    df_after_gl = dfs[current_version].query('guideline_id == @guideline_id & recommendation')\n",
    "\n",
    "    interventions_before_gl_set = set(df_before_gl.cui.values)\n",
    "    interventions_after_new = df_after_gl[(df_after_gl.confidence > threshold) & ~df_after_gl.cui.isin(interventions_before_gl_set)] #& df_after_gl.tuis.map(eval).map(lambda tuis: any([t in intv_tuis for t in tuis]))\n",
    "    interventions_after_new = interventions_after_new.drop_duplicates(subset=['type', 'cui']).copy()\n",
    "    interventions_after_new['cur_version'] = cur_version\n",
    "    interventions_after_new['prev_version'] = prev_version\n",
    "    for c in r.index:\n",
    "        interventions_after_new[c] = r[c]\n",
    "    new_intv_df.append(interventions_after_new)\n",
    "  \n",
    "cols = ['guideline_id', 'prev_version', 'cur_version', 'document', 'text', 'type', 'cui', 'tuis', 'canonical', 'confidence', 'file', 'number', 'recommendation_grade', 'type_of_recommendation', 'cur_release_date', 'cur_release', 'prev_release']\n",
    "new_intv_df = pd.concat(new_intv_df)[cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "974a5f9c-a03c-44df-81a7-e7e1d96bc96b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>guideline_id</th>\n",
       "      <th>prev_version</th>\n",
       "      <th>cur_version</th>\n",
       "      <th>document</th>\n",
       "      <th>text</th>\n",
       "      <th>type</th>\n",
       "      <th>cui</th>\n",
       "      <th>tuis</th>\n",
       "      <th>canonical</th>\n",
       "      <th>confidence</th>\n",
       "      <th>file</th>\n",
       "      <th>number</th>\n",
       "      <th>recommendation_grade</th>\n",
       "      <th>type_of_recommendation</th>\n",
       "      <th>cur_release_date</th>\n",
       "      <th>cur_release</th>\n",
       "      <th>prev_release</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>65870</th>\n",
       "      <td>aktinische-keratose-und-plattenepithelkarzinom...</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>08_aktinische-keratose-und-plattenepithelkarzi...</td>\n",
       "      <td>AKASI</td>\n",
       "      <td>Diagnostic</td>\n",
       "      <td>C0639811</td>\n",
       "      <td>['T109']</td>\n",
       "      <td>aqua(1,10-phenanthroline)(phenylalaninato)copp...</td>\n",
       "      <td>0.100395</td>\n",
       "      <td>08_aktinische-keratose-und-plattenepithelkarzi...</td>\n",
       "      <td>4.20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>evidencebased-statement</td>\n",
       "      <td>2022-12-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66086</th>\n",
       "      <td>aktinische-keratose-und-plattenepithelkarzinom...</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>08_aktinische-keratose-und-plattenepithelkarzi...</td>\n",
       "      <td>Spindelzelliges (sarkomatoides) Plattenepithel...</td>\n",
       "      <td>Diagnosis_or_Pathology</td>\n",
       "      <td>C0349656</td>\n",
       "      <td>['T191']</td>\n",
       "      <td>Sarkomatoides Plattenepithelkarzinom</td>\n",
       "      <td>0.117381</td>\n",
       "      <td>08_aktinische-keratose-und-plattenepithelkarzi...</td>\n",
       "      <td>4.80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-statement</td>\n",
       "      <td>2022-12-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66962</th>\n",
       "      <td>aktinische-keratose-und-plattenepithelkarzinom...</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>08_aktinische-keratose-und-plattenepithelkarzi...</td>\n",
       "      <td>einzelne oder multiple aktinische Keratosen</td>\n",
       "      <td>Diagnosis_or_Pathology</td>\n",
       "      <td>C1274598</td>\n",
       "      <td>['T047']</td>\n",
       "      <td>Multiple actinic keratoses</td>\n",
       "      <td>0.163462</td>\n",
       "      <td>08_aktinische-keratose-und-plattenepithelkarzi...</td>\n",
       "      <td>5.30</td>\n",
       "      <td>b</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-12-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71528</th>\n",
       "      <td>aktinische-keratose-und-plattenepithelkarzinom...</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>08_aktinische-keratose-und-plattenepithelkarzi...</td>\n",
       "      <td>entzündlichen Dermatose</td>\n",
       "      <td>Diagnosis_or_Pathology</td>\n",
       "      <td>C3875321</td>\n",
       "      <td>['T047']</td>\n",
       "      <td>Inflammatory dermatosis</td>\n",
       "      <td>0.111934</td>\n",
       "      <td>08_aktinische-keratose-und-plattenepithelkarzi...</td>\n",
       "      <td>7.10</td>\n",
       "      <td>a</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2022-12-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116910</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0037</td>\n",
       "      <td>Myome</td>\n",
       "      <td>Diagnosis_or_Pathology</td>\n",
       "      <td>C0027086</td>\n",
       "      <td>['T191']</td>\n",
       "      <td>Myoma</td>\n",
       "      <td>0.133710</td>\n",
       "      <td>15_endometriumkarzinom_0037</td>\n",
       "      <td>4.80</td>\n",
       "      <td>b</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173698</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0281</td>\n",
       "      <td>homologen Rekombinationsreparatur</td>\n",
       "      <td>Nutrient_or_Body_Substance</td>\n",
       "      <td>C1158513</td>\n",
       "      <td>['T045']</td>\n",
       "      <td>DNA-Rekombinationsreparatur</td>\n",
       "      <td>0.146210</td>\n",
       "      <td>22_prostatakarzinom_0281</td>\n",
       "      <td>7.42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173719</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0282</td>\n",
       "      <td>zugrundeliegende homologen Rekombinationsrepar...</td>\n",
       "      <td>Diagnosis_or_Pathology</td>\n",
       "      <td>C1158512</td>\n",
       "      <td>['T045']</td>\n",
       "      <td>Homologous Recombination Repair</td>\n",
       "      <td>0.137996</td>\n",
       "      <td>22_prostatakarzinom_0282</td>\n",
       "      <td>7.43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174228</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0290</td>\n",
       "      <td>Vipivotidtetraxetan</td>\n",
       "      <td>External_Substance</td>\n",
       "      <td>C5238124</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Vipivotide Tetraxetan</td>\n",
       "      <td>0.165582</td>\n",
       "      <td>22_prostatakarzinom_0290</td>\n",
       "      <td>7.47</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174554</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0299</td>\n",
       "      <td>Chromogranin A</td>\n",
       "      <td>Nutrient_or_Body_Substance</td>\n",
       "      <td>C0055633</td>\n",
       "      <td>['T125', 'T130']</td>\n",
       "      <td>Chromogranin A</td>\n",
       "      <td>0.140005</td>\n",
       "      <td>22_prostatakarzinom_0299</td>\n",
       "      <td>7.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174558</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0300</td>\n",
       "      <td>Etoposid</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C0015133</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Etoposid</td>\n",
       "      <td>0.148097</td>\n",
       "      <td>22_prostatakarzinom_0300</td>\n",
       "      <td>7.54</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>111 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             guideline_id prev_version  \\\n",
       "65870   aktinische-keratose-und-plattenepithelkarzinom...          1.1   \n",
       "66086   aktinische-keratose-und-plattenepithelkarzinom...          1.1   \n",
       "66962   aktinische-keratose-und-plattenepithelkarzinom...          1.1   \n",
       "71528   aktinische-keratose-und-plattenepithelkarzinom...          1.1   \n",
       "116910                                endometriumkarzinom          1.0   \n",
       "...                                                   ...          ...   \n",
       "173698                                   prostatakarzinom          6.2   \n",
       "173719                                   prostatakarzinom          6.2   \n",
       "174228                                   prostatakarzinom          6.2   \n",
       "174554                                   prostatakarzinom          6.2   \n",
       "174558                                   prostatakarzinom          6.2   \n",
       "\n",
       "       cur_version                                           document  \\\n",
       "65870          2.0  08_aktinische-keratose-und-plattenepithelkarzi...   \n",
       "66086          2.0  08_aktinische-keratose-und-plattenepithelkarzi...   \n",
       "66962          2.0  08_aktinische-keratose-und-plattenepithelkarzi...   \n",
       "71528          2.0  08_aktinische-keratose-und-plattenepithelkarzi...   \n",
       "116910         2.0                        15_endometriumkarzinom_0037   \n",
       "...            ...                                                ...   \n",
       "173698         7.0                           22_prostatakarzinom_0281   \n",
       "173719         7.0                           22_prostatakarzinom_0282   \n",
       "174228         7.0                           22_prostatakarzinom_0290   \n",
       "174554         7.0                           22_prostatakarzinom_0299   \n",
       "174558         7.0                           22_prostatakarzinom_0300   \n",
       "\n",
       "                                                     text  \\\n",
       "65870                                               AKASI   \n",
       "66086   Spindelzelliges (sarkomatoides) Plattenepithel...   \n",
       "66962         einzelne oder multiple aktinische Keratosen   \n",
       "71528                             entzündlichen Dermatose   \n",
       "116910                                              Myome   \n",
       "...                                                   ...   \n",
       "173698                  homologen Rekombinationsreparatur   \n",
       "173719  zugrundeliegende homologen Rekombinationsrepar...   \n",
       "174228                                Vipivotidtetraxetan   \n",
       "174554                                     Chromogranin A   \n",
       "174558                                           Etoposid   \n",
       "\n",
       "                              type       cui                      tuis  \\\n",
       "65870                   Diagnostic  C0639811                  ['T109']   \n",
       "66086       Diagnosis_or_Pathology  C0349656                  ['T191']   \n",
       "66962       Diagnosis_or_Pathology  C1274598                  ['T047']   \n",
       "71528       Diagnosis_or_Pathology  C3875321                  ['T047']   \n",
       "116910      Diagnosis_or_Pathology  C0027086                  ['T191']   \n",
       "...                            ...       ...                       ...   \n",
       "173698  Nutrient_or_Body_Substance  C1158513                  ['T045']   \n",
       "173719      Diagnosis_or_Pathology  C1158512                  ['T045']   \n",
       "174228          External_Substance  C5238124  ['T116', 'T121', 'T129']   \n",
       "174554  Nutrient_or_Body_Substance  C0055633          ['T125', 'T130']   \n",
       "174558               Clinical_Drug  C0015133          ['T109', 'T121']   \n",
       "\n",
       "                                                canonical  confidence  \\\n",
       "65870   aqua(1,10-phenanthroline)(phenylalaninato)copp...    0.100395   \n",
       "66086                Sarkomatoides Plattenepithelkarzinom    0.117381   \n",
       "66962                          Multiple actinic keratoses    0.163462   \n",
       "71528                             Inflammatory dermatosis    0.111934   \n",
       "116910                                              Myoma    0.133710   \n",
       "...                                                   ...         ...   \n",
       "173698                        DNA-Rekombinationsreparatur    0.146210   \n",
       "173719                    Homologous Recombination Repair    0.137996   \n",
       "174228                              Vipivotide Tetraxetan    0.165582   \n",
       "174554                                     Chromogranin A    0.140005   \n",
       "174558                                           Etoposid    0.148097   \n",
       "\n",
       "                                                     file  number  \\\n",
       "65870   08_aktinische-keratose-und-plattenepithelkarzi...    4.20   \n",
       "66086   08_aktinische-keratose-und-plattenepithelkarzi...    4.80   \n",
       "66962   08_aktinische-keratose-und-plattenepithelkarzi...    5.30   \n",
       "71528   08_aktinische-keratose-und-plattenepithelkarzi...    7.10   \n",
       "116910                        15_endometriumkarzinom_0037    4.80   \n",
       "...                                                   ...     ...   \n",
       "173698                           22_prostatakarzinom_0281    7.42   \n",
       "173719                           22_prostatakarzinom_0282    7.43   \n",
       "174228                           22_prostatakarzinom_0290    7.47   \n",
       "174554                           22_prostatakarzinom_0299    7.53   \n",
       "174558                           22_prostatakarzinom_0300    7.54   \n",
       "\n",
       "       recommendation_grade        type_of_recommendation cur_release_date  \\\n",
       "65870                   NaN       evidencebased-statement       2022-12-01   \n",
       "66086                   NaN        consensbased-statement       2022-12-01   \n",
       "66962                     b  evidencebased-recommendation       2022-12-01   \n",
       "71528                     a   consensbased-recommendation       2022-12-01   \n",
       "116910                    b   consensbased-recommendation       2022-09-01   \n",
       "...                     ...                           ...              ...   \n",
       "173698                  NaN   consensbased-recommendation       2024-05-01   \n",
       "173719                  NaN   consensbased-recommendation       2024-05-01   \n",
       "174228                    a  evidencebased-recommendation       2024-05-01   \n",
       "174554                  NaN   consensbased-recommendation       2024-05-01   \n",
       "174558                  NaN   consensbased-recommendation       2024-05-01   \n",
       "\n",
       "            cur_release     prev_release  \n",
       "65870   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "66086   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "66962   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "71528   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "116910  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "...                 ...              ...  \n",
       "173698  v2.3_2024_06_18  v2.0_2022_03_24  \n",
       "173719  v2.3_2024_06_18  v2.0_2022_03_24  \n",
       "174228  v2.3_2024_06_18  v2.0_2022_03_24  \n",
       "174554  v2.3_2024_06_18  v2.0_2022_03_24  \n",
       "174558  v2.3_2024_06_18  v2.0_2022_03_24  \n",
       "\n",
       "[111 rows x 17 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_intv_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a5e7c2d8-2efe-47ae-bae3-4228dea885e3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "intervention_tree_numbers = ('A1.4.1.1.1', 'B1.3.1.3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "be5e4859-c294-49eb-a392-065deaec6f1c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def is_intervention_type(cui):\n",
    "    for t in app.state.concept_parser.umls_parser.get_semantic_types(cui):\n",
    "        if t['STN'].startswith(intervention_tree_numbers):\n",
    "            return True\n",
    "    return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4bc9ebd0-ef93-4fd6-b04e-5ec6f165526b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_intv_df = new_intv_df[new_intv_df.cui.map(is_intervention_type)]\n",
    "len(new_intv_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b176060d-f515-4778-9dbb-0de2b9416a17",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>guideline_id</th>\n",
       "      <th>prev_version</th>\n",
       "      <th>cur_version</th>\n",
       "      <th>document</th>\n",
       "      <th>text</th>\n",
       "      <th>type</th>\n",
       "      <th>cui</th>\n",
       "      <th>tuis</th>\n",
       "      <th>canonical</th>\n",
       "      <th>confidence</th>\n",
       "      <th>file</th>\n",
       "      <th>number</th>\n",
       "      <th>recommendation_grade</th>\n",
       "      <th>type_of_recommendation</th>\n",
       "      <th>cur_release_date</th>\n",
       "      <th>cur_release</th>\n",
       "      <th>prev_release</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>118147</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0099</td>\n",
       "      <td>alleinige Verwendung molekularpathologischer M...</td>\n",
       "      <td>Diagnostic</td>\n",
       "      <td>C5205681</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Single-agent Therapeutic Regimens</td>\n",
       "      <td>0.100280</td>\n",
       "      <td>15_endometriumkarzinom_0099</td>\n",
       "      <td>4.370</td>\n",
       "      <td>a</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122378</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0271</td>\n",
       "      <td>Trastuzumab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C0728747</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Trastuzumab</td>\n",
       "      <td>0.126775</td>\n",
       "      <td>15_endometriumkarzinom_0271</td>\n",
       "      <td>9.180</td>\n",
       "      <td>0</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122398</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0273</td>\n",
       "      <td>Dostarlimab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C5242455</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Dostarlimab-containing product</td>\n",
       "      <td>0.116009</td>\n",
       "      <td>15_endometriumkarzinom_0273</td>\n",
       "      <td>9.200</td>\n",
       "      <td>0</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122399</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0273</td>\n",
       "      <td>Pembrolizumab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C3658706</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Product containing pembrolizumab (medicinal pr...</td>\n",
       "      <td>0.123560</td>\n",
       "      <td>15_endometriumkarzinom_0273</td>\n",
       "      <td>9.200</td>\n",
       "      <td>0</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124356</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0346</td>\n",
       "      <td>MBSR</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C4527300</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Meditation-Based Stress Reduction (Breast Cancer)</td>\n",
       "      <td>0.122744</td>\n",
       "      <td>15_endometriumkarzinom_0346</td>\n",
       "      <td>11.210</td>\n",
       "      <td>b</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124358</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0347</td>\n",
       "      <td>Yoga</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C1883583</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Joga</td>\n",
       "      <td>0.125578</td>\n",
       "      <td>15_endometriumkarzinom_0347</td>\n",
       "      <td>11.220</td>\n",
       "      <td>b</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97299</th>\n",
       "      <td>hepatozellulaeres-karzinom-und-biliaere-karzinome</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11_hepatozellulaeres-karzinom-und-biliaere-kar...</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4055109</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>0.142739</td>\n",
       "      <td>11_hepatozellulaeres-karzinom-und-biliaere-kar...</td>\n",
       "      <td>3.710</td>\n",
       "      <td>NaN</td>\n",
       "      <td>evidencebased-statement</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97300</th>\n",
       "      <td>hepatozellulaeres-karzinom-und-biliaere-karzinome</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11_hepatozellulaeres-karzinom-und-biliaere-kar...</td>\n",
       "      <td>Tremelimumab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C2351038</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>ticilimumab</td>\n",
       "      <td>0.150178</td>\n",
       "      <td>11_hepatozellulaeres-karzinom-und-biliaere-kar...</td>\n",
       "      <td>3.710</td>\n",
       "      <td>NaN</td>\n",
       "      <td>evidencebased-statement</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25489</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0284</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4055109</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>0.142960</td>\n",
       "      <td>03_lungenkarzinom_0284</td>\n",
       "      <td>8.490</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26544</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0313</td>\n",
       "      <td>Cemiplimab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4724806</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Cemiplimab (substance)</td>\n",
       "      <td>0.150689</td>\n",
       "      <td>03_lungenkarzinom_0313</td>\n",
       "      <td>8.640</td>\n",
       "      <td>0</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26840</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0324</td>\n",
       "      <td>Chemo-Immuntherapie</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C4087148</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Immunochemotherapy</td>\n",
       "      <td>0.122878</td>\n",
       "      <td>03_lungenkarzinom_0324</td>\n",
       "      <td>8.720</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27440</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0335</td>\n",
       "      <td>Nivolumab + Ipilimumab über 2 Zyklen</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4727545</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Ipilimumab/Nivolumab Regimen</td>\n",
       "      <td>0.100836</td>\n",
       "      <td>03_lungenkarzinom_0335</td>\n",
       "      <td>8.780</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27514</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0341</td>\n",
       "      <td>Cisplatin/Carboplatin + Paclitaxel</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C0281303</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Carboplatin/Cisplatin/Paclitaxel</td>\n",
       "      <td>0.139095</td>\n",
       "      <td>03_lungenkarzinom_0341</td>\n",
       "      <td>8.840</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29664</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0370</td>\n",
       "      <td>Amivantamab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C5446297</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Amivantamab</td>\n",
       "      <td>0.222128</td>\n",
       "      <td>03_lungenkarzinom_0370</td>\n",
       "      <td>8.102</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30376</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0377</td>\n",
       "      <td>Chemoimmuntherapie</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C2986423</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Chemoimmunotherapy</td>\n",
       "      <td>0.124411</td>\n",
       "      <td>03_lungenkarzinom_0377</td>\n",
       "      <td>8.107</td>\n",
       "      <td>0</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30588</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0381</td>\n",
       "      <td>Lorlatinib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4080091</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Product containing lorlatinib (medicinal product)</td>\n",
       "      <td>0.125544</td>\n",
       "      <td>03_lungenkarzinom_0381</td>\n",
       "      <td>8.109</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31272</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0399</td>\n",
       "      <td>Entrectinib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4086264</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Entrectinib-containing product</td>\n",
       "      <td>0.132605</td>\n",
       "      <td>03_lungenkarzinom_0399</td>\n",
       "      <td>8.121</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31351</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0402</td>\n",
       "      <td>Repotrectinib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4524909</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>repotrectinib</td>\n",
       "      <td>0.150675</td>\n",
       "      <td>03_lungenkarzinom_0402</td>\n",
       "      <td>8.123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31589</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0408</td>\n",
       "      <td>Larotrectinib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4524315</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Larotrectinib (substance)</td>\n",
       "      <td>0.148639</td>\n",
       "      <td>03_lungenkarzinom_0408</td>\n",
       "      <td>8.127</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31643</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0411</td>\n",
       "      <td>Selpercatinib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C5235396</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Selpercatinib (substance)</td>\n",
       "      <td>0.132908</td>\n",
       "      <td>03_lungenkarzinom_0411</td>\n",
       "      <td>8.129</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31644</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0411</td>\n",
       "      <td>Pralsetinib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C5226874</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Pralsetinib</td>\n",
       "      <td>0.151548</td>\n",
       "      <td>03_lungenkarzinom_0411</td>\n",
       "      <td>8.129</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31686</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0414</td>\n",
       "      <td>MET-Inhibitor</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4684960</td>\n",
       "      <td>['T121']</td>\n",
       "      <td>c-Met Inhibitor</td>\n",
       "      <td>0.100866</td>\n",
       "      <td>03_lungenkarzinom_0414</td>\n",
       "      <td>8.131</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31687</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0414</td>\n",
       "      <td>Capmatinib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4053698</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>2-Fluoro-N-methyl-4-(7-(quinolin-6-ylmethyl)im...</td>\n",
       "      <td>0.142291</td>\n",
       "      <td>03_lungenkarzinom_0414</td>\n",
       "      <td>8.131</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31771</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0417</td>\n",
       "      <td>Sotorasib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C5418250</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Sotorasib</td>\n",
       "      <td>0.149253</td>\n",
       "      <td>03_lungenkarzinom_0417</td>\n",
       "      <td>8.133</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98451</th>\n",
       "      <td>nierenzellkarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>12_nierenzellkarzinom_0007</td>\n",
       "      <td>Trichlorethen</td>\n",
       "      <td>External_Substance</td>\n",
       "      <td>C0040905</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Trichlorethylen</td>\n",
       "      <td>0.168828</td>\n",
       "      <td>12_nierenzellkarzinom_0007</td>\n",
       "      <td>3.300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-statement</td>\n",
       "      <td>2023-02-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110327</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13_oesophaguskarzinom_0148</td>\n",
       "      <td>Nivolumab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C3657270</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Nivolumab</td>\n",
       "      <td>0.139955</td>\n",
       "      <td>13_oesophaguskarzinom_0148</td>\n",
       "      <td>8.400</td>\n",
       "      <td>b</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110553</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13_oesophaguskarzinom_0158</td>\n",
       "      <td>Therapie mit einem Immun-Checkpoint-Inhibitor</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C4733472</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Immune checkpoint inhibitor therapy</td>\n",
       "      <td>0.121256</td>\n",
       "      <td>13_oesophaguskarzinom_0158</td>\n",
       "      <td>9.300</td>\n",
       "      <td>a</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110554</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13_oesophaguskarzinom_0158</td>\n",
       "      <td>Immun-Checkpoint-Inhibitor</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4684977</td>\n",
       "      <td>['T121', 'T129']</td>\n",
       "      <td>Immune Checkpoint Inhibitors</td>\n",
       "      <td>0.160401</td>\n",
       "      <td>13_oesophaguskarzinom_0158</td>\n",
       "      <td>9.300</td>\n",
       "      <td>a</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110562</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13_oesophaguskarzinom_0160</td>\n",
       "      <td>Pembrolizumab</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C3658706</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Product containing pembrolizumab (medicinal pr...</td>\n",
       "      <td>0.129257</td>\n",
       "      <td>13_oesophaguskarzinom_0160</td>\n",
       "      <td>9.500</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110763</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13_oesophaguskarzinom_0165</td>\n",
       "      <td>Kombinationstherapie</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C0013218</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Arzneimittel-Kombinationstherapie</td>\n",
       "      <td>0.118541</td>\n",
       "      <td>13_oesophaguskarzinom_0165</td>\n",
       "      <td>9.800</td>\n",
       "      <td>0</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89480</th>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10_pankreaskarzinom_0012</td>\n",
       "      <td>Cholezystektomie</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C0008320</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Cholezystektomie</td>\n",
       "      <td>0.153002</td>\n",
       "      <td>10_pankreaskarzinom_0012</td>\n",
       "      <td>4.500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>evidencebased-statement</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89492</th>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10_pankreaskarzinom_0012</td>\n",
       "      <td>Nierentransplantation</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C0022671</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Nierentransplantation</td>\n",
       "      <td>0.147952</td>\n",
       "      <td>10_pankreaskarzinom_0012</td>\n",
       "      <td>4.500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>evidencebased-statement</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94040</th>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10_pankreaskarzinom_0276</td>\n",
       "      <td>Ernährungsberatung</td>\n",
       "      <td>Therapeutic</td>\n",
       "      <td>C0242739</td>\n",
       "      <td>['T061']</td>\n",
       "      <td>Nahrungszufuhr</td>\n",
       "      <td>0.131060</td>\n",
       "      <td>10_pankreaskarzinom_0276</td>\n",
       "      <td>9.130</td>\n",
       "      <td>0</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94290</th>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10_pankreaskarzinom_0300</td>\n",
       "      <td>niedermolekularen Heparin</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C0019139</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Heparin, niedrigmolekulares</td>\n",
       "      <td>0.155777</td>\n",
       "      <td>10_pankreaskarzinom_0300</td>\n",
       "      <td>9.280</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173689</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0279</td>\n",
       "      <td>Niraparib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C2744440</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Niraparib-containing product</td>\n",
       "      <td>0.141333</td>\n",
       "      <td>22_prostatakarzinom_0279</td>\n",
       "      <td>7.400</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173694</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0279</td>\n",
       "      <td>Talazoparib</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C4042960</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Talazoparib-containing product</td>\n",
       "      <td>0.147417</td>\n",
       "      <td>22_prostatakarzinom_0279</td>\n",
       "      <td>7.400</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174228</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0290</td>\n",
       "      <td>Vipivotidtetraxetan</td>\n",
       "      <td>External_Substance</td>\n",
       "      <td>C5238124</td>\n",
       "      <td>['T116', 'T121', 'T129']</td>\n",
       "      <td>Vipivotide Tetraxetan</td>\n",
       "      <td>0.165582</td>\n",
       "      <td>22_prostatakarzinom_0290</td>\n",
       "      <td>7.470</td>\n",
       "      <td>a</td>\n",
       "      <td>evidencebased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174558</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0300</td>\n",
       "      <td>Etoposid</td>\n",
       "      <td>Clinical_Drug</td>\n",
       "      <td>C0015133</td>\n",
       "      <td>['T109', 'T121']</td>\n",
       "      <td>Etoposid</td>\n",
       "      <td>0.148097</td>\n",
       "      <td>22_prostatakarzinom_0300</td>\n",
       "      <td>7.540</td>\n",
       "      <td>NaN</td>\n",
       "      <td>consensbased-recommendation</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             guideline_id prev_version  \\\n",
       "118147                                endometriumkarzinom          1.0   \n",
       "122378                                endometriumkarzinom          1.0   \n",
       "122398                                endometriumkarzinom          1.0   \n",
       "122399                                endometriumkarzinom          1.0   \n",
       "124356                                endometriumkarzinom          1.0   \n",
       "124358                                endometriumkarzinom          1.0   \n",
       "97299   hepatozellulaeres-karzinom-und-biliaere-karzinome          3.0   \n",
       "97300   hepatozellulaeres-karzinom-und-biliaere-karzinome          3.0   \n",
       "25489                                      lungenkarzinom          1.0   \n",
       "26544                                      lungenkarzinom          1.0   \n",
       "26840                                      lungenkarzinom          1.0   \n",
       "27440                                      lungenkarzinom          1.0   \n",
       "27514                                      lungenkarzinom          1.0   \n",
       "29664                                      lungenkarzinom          1.0   \n",
       "30376                                      lungenkarzinom          1.0   \n",
       "30588                                      lungenkarzinom          1.0   \n",
       "31272                                      lungenkarzinom          1.0   \n",
       "31351                                      lungenkarzinom          1.0   \n",
       "31589                                      lungenkarzinom          1.0   \n",
       "31643                                      lungenkarzinom          1.0   \n",
       "31644                                      lungenkarzinom          1.0   \n",
       "31686                                      lungenkarzinom          1.0   \n",
       "31687                                      lungenkarzinom          1.0   \n",
       "31771                                      lungenkarzinom          1.0   \n",
       "98451                                  nierenzellkarzinom          3.0   \n",
       "110327                                 oesophaguskarzinom          3.0   \n",
       "110553                                 oesophaguskarzinom          3.0   \n",
       "110554                                 oesophaguskarzinom          3.0   \n",
       "110562                                 oesophaguskarzinom          3.0   \n",
       "110763                                 oesophaguskarzinom          3.0   \n",
       "89480                                    pankreaskarzinom          2.0   \n",
       "89492                                    pankreaskarzinom          2.0   \n",
       "94040                                    pankreaskarzinom          2.0   \n",
       "94290                                    pankreaskarzinom          2.0   \n",
       "173689                                   prostatakarzinom          6.2   \n",
       "173694                                   prostatakarzinom          6.2   \n",
       "174228                                   prostatakarzinom          6.2   \n",
       "174558                                   prostatakarzinom          6.2   \n",
       "\n",
       "       cur_version                                           document  \\\n",
       "118147         2.0                        15_endometriumkarzinom_0099   \n",
       "122378         2.0                        15_endometriumkarzinom_0271   \n",
       "122398         2.0                        15_endometriumkarzinom_0273   \n",
       "122399         2.0                        15_endometriumkarzinom_0273   \n",
       "124356         2.0                        15_endometriumkarzinom_0346   \n",
       "124358         2.0                        15_endometriumkarzinom_0347   \n",
       "97299          4.0  11_hepatozellulaeres-karzinom-und-biliaere-kar...   \n",
       "97300          4.0  11_hepatozellulaeres-karzinom-und-biliaere-kar...   \n",
       "25489          2.0                             03_lungenkarzinom_0284   \n",
       "26544          2.0                             03_lungenkarzinom_0313   \n",
       "26840          2.0                             03_lungenkarzinom_0324   \n",
       "27440          2.0                             03_lungenkarzinom_0335   \n",
       "27514          2.0                             03_lungenkarzinom_0341   \n",
       "29664          2.0                             03_lungenkarzinom_0370   \n",
       "30376          2.0                             03_lungenkarzinom_0377   \n",
       "30588          2.0                             03_lungenkarzinom_0381   \n",
       "31272          2.0                             03_lungenkarzinom_0399   \n",
       "31351          2.0                             03_lungenkarzinom_0402   \n",
       "31589          2.0                             03_lungenkarzinom_0408   \n",
       "31643          2.0                             03_lungenkarzinom_0411   \n",
       "31644          2.0                             03_lungenkarzinom_0411   \n",
       "31686          2.0                             03_lungenkarzinom_0414   \n",
       "31687          2.0                             03_lungenkarzinom_0414   \n",
       "31771          2.0                             03_lungenkarzinom_0417   \n",
       "98451          4.0                         12_nierenzellkarzinom_0007   \n",
       "110327         3.1                         13_oesophaguskarzinom_0148   \n",
       "110553         3.1                         13_oesophaguskarzinom_0158   \n",
       "110554         3.1                         13_oesophaguskarzinom_0158   \n",
       "110562         3.1                         13_oesophaguskarzinom_0160   \n",
       "110763         3.1                         13_oesophaguskarzinom_0165   \n",
       "89480          3.0                           10_pankreaskarzinom_0012   \n",
       "89492          3.0                           10_pankreaskarzinom_0012   \n",
       "94040          3.0                           10_pankreaskarzinom_0276   \n",
       "94290          3.0                           10_pankreaskarzinom_0300   \n",
       "173689         7.0                           22_prostatakarzinom_0279   \n",
       "173694         7.0                           22_prostatakarzinom_0279   \n",
       "174228         7.0                           22_prostatakarzinom_0290   \n",
       "174558         7.0                           22_prostatakarzinom_0300   \n",
       "\n",
       "                                                     text                type  \\\n",
       "118147  alleinige Verwendung molekularpathologischer M...          Diagnostic   \n",
       "122378                                        Trastuzumab       Clinical_Drug   \n",
       "122398                                        Dostarlimab       Clinical_Drug   \n",
       "122399                                      Pembrolizumab       Clinical_Drug   \n",
       "124356                                               MBSR         Therapeutic   \n",
       "124358                                               Yoga         Therapeutic   \n",
       "97299                                          Durvalumab       Clinical_Drug   \n",
       "97300                                        Tremelimumab       Clinical_Drug   \n",
       "25489                                          Durvalumab       Clinical_Drug   \n",
       "26544                                          Cemiplimab       Clinical_Drug   \n",
       "26840                                 Chemo-Immuntherapie         Therapeutic   \n",
       "27440                Nivolumab + Ipilimumab über 2 Zyklen       Clinical_Drug   \n",
       "27514                  Cisplatin/Carboplatin + Paclitaxel       Clinical_Drug   \n",
       "29664                                         Amivantamab       Clinical_Drug   \n",
       "30376                                  Chemoimmuntherapie         Therapeutic   \n",
       "30588                                          Lorlatinib       Clinical_Drug   \n",
       "31272                                         Entrectinib       Clinical_Drug   \n",
       "31351                                       Repotrectinib       Clinical_Drug   \n",
       "31589                                       Larotrectinib       Clinical_Drug   \n",
       "31643                                       Selpercatinib       Clinical_Drug   \n",
       "31644                                         Pralsetinib       Clinical_Drug   \n",
       "31686                                       MET-Inhibitor       Clinical_Drug   \n",
       "31687                                          Capmatinib       Clinical_Drug   \n",
       "31771                                           Sotorasib       Clinical_Drug   \n",
       "98451                                       Trichlorethen  External_Substance   \n",
       "110327                                          Nivolumab       Clinical_Drug   \n",
       "110553      Therapie mit einem Immun-Checkpoint-Inhibitor         Therapeutic   \n",
       "110554                         Immun-Checkpoint-Inhibitor       Clinical_Drug   \n",
       "110562                                      Pembrolizumab       Clinical_Drug   \n",
       "110763                               Kombinationstherapie         Therapeutic   \n",
       "89480                                    Cholezystektomie         Therapeutic   \n",
       "89492                               Nierentransplantation         Therapeutic   \n",
       "94040                                  Ernährungsberatung         Therapeutic   \n",
       "94290                           niedermolekularen Heparin       Clinical_Drug   \n",
       "173689                                          Niraparib       Clinical_Drug   \n",
       "173694                                        Talazoparib       Clinical_Drug   \n",
       "174228                                Vipivotidtetraxetan  External_Substance   \n",
       "174558                                           Etoposid       Clinical_Drug   \n",
       "\n",
       "             cui                      tuis  \\\n",
       "118147  C5205681                  ['T061']   \n",
       "122378  C0728747  ['T116', 'T121', 'T129']   \n",
       "122398  C5242455  ['T116', 'T121', 'T129']   \n",
       "122399  C3658706  ['T116', 'T121', 'T129']   \n",
       "124356  C4527300                  ['T061']   \n",
       "124358  C1883583                  ['T061']   \n",
       "97299   C4055109  ['T116', 'T121', 'T129']   \n",
       "97300   C2351038  ['T116', 'T121', 'T129']   \n",
       "25489   C4055109  ['T116', 'T121', 'T129']   \n",
       "26544   C4724806  ['T116', 'T121', 'T129']   \n",
       "26840   C4087148                  ['T061']   \n",
       "27440   C4727545                  ['T061']   \n",
       "27514   C0281303                  ['T061']   \n",
       "29664   C5446297  ['T116', 'T121', 'T129']   \n",
       "30376   C2986423                  ['T061']   \n",
       "30588   C4080091          ['T109', 'T121']   \n",
       "31272   C4086264          ['T109', 'T121']   \n",
       "31351   C4524909          ['T109', 'T121']   \n",
       "31589   C4524315          ['T109', 'T121']   \n",
       "31643   C5235396          ['T109', 'T121']   \n",
       "31644   C5226874          ['T109', 'T121']   \n",
       "31686   C4684960                  ['T121']   \n",
       "31687   C4053698          ['T109', 'T121']   \n",
       "31771   C5418250          ['T109', 'T121']   \n",
       "98451   C0040905          ['T109', 'T121']   \n",
       "110327  C3657270  ['T116', 'T121', 'T129']   \n",
       "110553  C4733472                  ['T061']   \n",
       "110554  C4684977          ['T121', 'T129']   \n",
       "110562  C3658706  ['T116', 'T121', 'T129']   \n",
       "110763  C0013218                  ['T061']   \n",
       "89480   C0008320                  ['T061']   \n",
       "89492   C0022671                  ['T061']   \n",
       "94040   C0242739                  ['T061']   \n",
       "94290   C0019139          ['T109', 'T121']   \n",
       "173689  C2744440          ['T109', 'T121']   \n",
       "173694  C4042960          ['T109', 'T121']   \n",
       "174228  C5238124  ['T116', 'T121', 'T129']   \n",
       "174558  C0015133          ['T109', 'T121']   \n",
       "\n",
       "                                                canonical  confidence  \\\n",
       "118147                  Single-agent Therapeutic Regimens    0.100280   \n",
       "122378                                        Trastuzumab    0.126775   \n",
       "122398                     Dostarlimab-containing product    0.116009   \n",
       "122399  Product containing pembrolizumab (medicinal pr...    0.123560   \n",
       "124356  Meditation-Based Stress Reduction (Breast Cancer)    0.122744   \n",
       "124358                                               Joga    0.125578   \n",
       "97299                                          Durvalumab    0.142739   \n",
       "97300                                         ticilimumab    0.150178   \n",
       "25489                                          Durvalumab    0.142960   \n",
       "26544                              Cemiplimab (substance)    0.150689   \n",
       "26840                                  Immunochemotherapy    0.122878   \n",
       "27440                        Ipilimumab/Nivolumab Regimen    0.100836   \n",
       "27514                    Carboplatin/Cisplatin/Paclitaxel    0.139095   \n",
       "29664                                         Amivantamab    0.222128   \n",
       "30376                                  Chemoimmunotherapy    0.124411   \n",
       "30588   Product containing lorlatinib (medicinal product)    0.125544   \n",
       "31272                      Entrectinib-containing product    0.132605   \n",
       "31351                                       repotrectinib    0.150675   \n",
       "31589                           Larotrectinib (substance)    0.148639   \n",
       "31643                           Selpercatinib (substance)    0.132908   \n",
       "31644                                         Pralsetinib    0.151548   \n",
       "31686                                     c-Met Inhibitor    0.100866   \n",
       "31687   2-Fluoro-N-methyl-4-(7-(quinolin-6-ylmethyl)im...    0.142291   \n",
       "31771                                           Sotorasib    0.149253   \n",
       "98451                                     Trichlorethylen    0.168828   \n",
       "110327                                          Nivolumab    0.139955   \n",
       "110553                Immune checkpoint inhibitor therapy    0.121256   \n",
       "110554                       Immune Checkpoint Inhibitors    0.160401   \n",
       "110562  Product containing pembrolizumab (medicinal pr...    0.129257   \n",
       "110763                  Arzneimittel-Kombinationstherapie    0.118541   \n",
       "89480                                    Cholezystektomie    0.153002   \n",
       "89492                               Nierentransplantation    0.147952   \n",
       "94040                                      Nahrungszufuhr    0.131060   \n",
       "94290                         Heparin, niedrigmolekulares    0.155777   \n",
       "173689                       Niraparib-containing product    0.141333   \n",
       "173694                     Talazoparib-containing product    0.147417   \n",
       "174228                              Vipivotide Tetraxetan    0.165582   \n",
       "174558                                           Etoposid    0.148097   \n",
       "\n",
       "                                                     file  number  \\\n",
       "118147                        15_endometriumkarzinom_0099   4.370   \n",
       "122378                        15_endometriumkarzinom_0271   9.180   \n",
       "122398                        15_endometriumkarzinom_0273   9.200   \n",
       "122399                        15_endometriumkarzinom_0273   9.200   \n",
       "124356                        15_endometriumkarzinom_0346  11.210   \n",
       "124358                        15_endometriumkarzinom_0347  11.220   \n",
       "97299   11_hepatozellulaeres-karzinom-und-biliaere-kar...   3.710   \n",
       "97300   11_hepatozellulaeres-karzinom-und-biliaere-kar...   3.710   \n",
       "25489                              03_lungenkarzinom_0284   8.490   \n",
       "26544                              03_lungenkarzinom_0313   8.640   \n",
       "26840                              03_lungenkarzinom_0324   8.720   \n",
       "27440                              03_lungenkarzinom_0335   8.780   \n",
       "27514                              03_lungenkarzinom_0341   8.840   \n",
       "29664                              03_lungenkarzinom_0370   8.102   \n",
       "30376                              03_lungenkarzinom_0377   8.107   \n",
       "30588                              03_lungenkarzinom_0381   8.109   \n",
       "31272                              03_lungenkarzinom_0399   8.121   \n",
       "31351                              03_lungenkarzinom_0402   8.123   \n",
       "31589                              03_lungenkarzinom_0408   8.127   \n",
       "31643                              03_lungenkarzinom_0411   8.129   \n",
       "31644                              03_lungenkarzinom_0411   8.129   \n",
       "31686                              03_lungenkarzinom_0414   8.131   \n",
       "31687                              03_lungenkarzinom_0414   8.131   \n",
       "31771                              03_lungenkarzinom_0417   8.133   \n",
       "98451                          12_nierenzellkarzinom_0007   3.300   \n",
       "110327                         13_oesophaguskarzinom_0148   8.400   \n",
       "110553                         13_oesophaguskarzinom_0158   9.300   \n",
       "110554                         13_oesophaguskarzinom_0158   9.300   \n",
       "110562                         13_oesophaguskarzinom_0160   9.500   \n",
       "110763                         13_oesophaguskarzinom_0165   9.800   \n",
       "89480                            10_pankreaskarzinom_0012   4.500   \n",
       "89492                            10_pankreaskarzinom_0012   4.500   \n",
       "94040                            10_pankreaskarzinom_0276   9.130   \n",
       "94290                            10_pankreaskarzinom_0300   9.280   \n",
       "173689                           22_prostatakarzinom_0279   7.400   \n",
       "173694                           22_prostatakarzinom_0279   7.400   \n",
       "174228                           22_prostatakarzinom_0290   7.470   \n",
       "174558                           22_prostatakarzinom_0300   7.540   \n",
       "\n",
       "       recommendation_grade        type_of_recommendation cur_release_date  \\\n",
       "118147                    a   consensbased-recommendation       2022-09-01   \n",
       "122378                    0  evidencebased-recommendation       2022-09-01   \n",
       "122398                    0  evidencebased-recommendation       2022-09-01   \n",
       "122399                    0  evidencebased-recommendation       2022-09-01   \n",
       "124356                    b  evidencebased-recommendation       2022-09-01   \n",
       "124358                    b  evidencebased-recommendation       2022-09-01   \n",
       "97299                   NaN       evidencebased-statement       2023-08-01   \n",
       "97300                   NaN       evidencebased-statement       2023-08-01   \n",
       "25489                     a  evidencebased-recommendation       2022-11-01   \n",
       "26544                     0  evidencebased-recommendation       2022-11-01   \n",
       "26840                     a  evidencebased-recommendation       2022-11-01   \n",
       "27440                     a  evidencebased-recommendation       2022-11-01   \n",
       "27514                     a  evidencebased-recommendation       2022-11-01   \n",
       "29664                     a  evidencebased-recommendation       2022-11-01   \n",
       "30376                     0   consensbased-recommendation       2022-11-01   \n",
       "30588                     a  evidencebased-recommendation       2022-11-01   \n",
       "31272                     a  evidencebased-recommendation       2022-11-01   \n",
       "31351                   NaN   consensbased-recommendation       2022-11-01   \n",
       "31589                     a  evidencebased-recommendation       2022-11-01   \n",
       "31643                     a  evidencebased-recommendation       2022-11-01   \n",
       "31644                     a  evidencebased-recommendation       2022-11-01   \n",
       "31686                     a  evidencebased-recommendation       2022-11-01   \n",
       "31687                     a  evidencebased-recommendation       2022-11-01   \n",
       "31771                     a  evidencebased-recommendation       2022-11-01   \n",
       "98451                   NaN        consensbased-statement       2023-02-01   \n",
       "110327                    b  evidencebased-recommendation       2022-06-01   \n",
       "110553                    a   consensbased-recommendation       2022-06-01   \n",
       "110554                    a   consensbased-recommendation       2022-06-01   \n",
       "110562                    a  evidencebased-recommendation       2022-06-01   \n",
       "110763                    0   consensbased-recommendation       2022-06-01   \n",
       "89480                   NaN       evidencebased-statement       2024-03-01   \n",
       "89492                   NaN       evidencebased-statement       2024-03-01   \n",
       "94040                     0  evidencebased-recommendation       2024-03-01   \n",
       "94290                   NaN   consensbased-recommendation       2024-03-01   \n",
       "173689                    a  evidencebased-recommendation       2024-05-01   \n",
       "173694                    a  evidencebased-recommendation       2024-05-01   \n",
       "174228                    a  evidencebased-recommendation       2024-05-01   \n",
       "174558                  NaN   consensbased-recommendation       2024-05-01   \n",
       "\n",
       "            cur_release     prev_release  \n",
       "118147  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "122378  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "122398  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "122399  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "124356  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "124358  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "97299   v2.2_2024_04_22  v2.1_2023_03_30  \n",
       "97300   v2.2_2024_04_22  v2.1_2023_03_30  \n",
       "25489   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "26544   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "26840   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "27440   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "27514   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "29664   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "30376   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "30588   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "31272   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "31351   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "31589   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "31643   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "31644   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "31686   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "31687   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "31771   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "98451   v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "110327  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "110553  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "110554  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "110562  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "110763  v2.1_2023_03_30  v2.0_2022_03_24  \n",
       "89480   v2.2_2024_04_22  v2.1_2023_03_30  \n",
       "89492   v2.2_2024_04_22  v2.1_2023_03_30  \n",
       "94040   v2.2_2024_04_22  v2.1_2023_03_30  \n",
       "94290   v2.2_2024_04_22  v2.1_2023_03_30  \n",
       "173689  v2.3_2024_06_18  v2.0_2022_03_24  \n",
       "173694  v2.3_2024_06_18  v2.0_2022_03_24  \n",
       "174228  v2.3_2024_06_18  v2.0_2022_03_24  \n",
       "174558  v2.3_2024_06_18  v2.0_2022_03_24  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_intv_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "52b59d3a-c626-44dd-886d-f5792ef6b0d2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "new_intv_df = new_intv_df.drop_duplicates(subset=['guideline_id', 'cui'])\n",
    "# Remove generic concepts\n",
    "new_intv_df = new_intv_df[~new_intv_df.cui.isin([\n",
    "    'C4087148', 'C2986423', 'C0013218', 'C4524032', 'C0596581', 'C0015133', 'C0242739',\n",
    "    'C4684977', 'C2347669', 'C5392215', 'C0023764', 'C0002712', 'C4733472', 'C5205681', 'C4684960'\n",
    "])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "ededc792-374c-4d0e-a5b6-91fa0b29a5cb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(new_intv_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e94ca24a-f06a-428c-9eae-ed93366acaa5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['guideline_id', 'prev_version', 'cur_version', 'document', 'text',\n",
       "       'type', 'cui', 'tuis', 'canonical', 'confidence', 'file', 'number',\n",
       "       'recommendation_grade', 'type_of_recommendation', 'cur_release_date',\n",
       "       'cur_release', 'prev_release'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_intv_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8e98da98-d9a7-4884-96fb-d8a2e017dcaa",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a394eb7da66b47c3a54799510daaff4a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tqdm.auto import tqdm\n",
    "from api.app import EvidenceQuery, get_evidence_by_population, get_evidence_grouped_df, get_topics\n",
    "\n",
    "def get_date(edf, phase, start):\n",
    "    date = 'start_date' if start else 'result_date'\n",
    "    if phase == '3':\n",
    "        p_edf = edf.query('max_phase == 3').dropna(subset=date)\n",
    "    else:\n",
    "        p_edf = edf.query('max_phase in [1,2]').dropna(subset=date)\n",
    "    if len(p_edf) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return p_edf.sort_values(date).iloc[0][date]\n",
    "\n",
    "diff_stats = []\n",
    "    \n",
    "for i, r in tqdm(new_intv_df.iterrows()):\n",
    "    cui = r.cui\n",
    "    guideline_id = r.guideline_id\n",
    "    \n",
    "    q = EvidenceQuery(guideline_id=guideline_id, \n",
    "                      cuis_intervention=[cui],\n",
    "                      sources=['pubmed', 'clinicaltrials'],\n",
    "                      exclude_children=True)\n",
    "    \n",
    "    edf = get_evidence_grouped_df(q, False, session)\n",
    "    if edf is not None:\n",
    "        edf = edf[edf.group.astype(str).str.startswith('NCT')]\n",
    "    \n",
    "    has_results = (edf is not None) and (len(edf) > 0)\n",
    "    \n",
    "    if has_results: # ignore any dates past guideline publication\n",
    "    #    edf.loc[edf.result_date > r.cur_release_date, 'result_date'] = None\n",
    "        edf.loc[edf.start_date > r.cur_release_date, 'start_date'] = None\n",
    "    \n",
    "    \n",
    "    start_phase_12 = get_date(edf, phase='1-2', start=True) if has_results else None\n",
    "    #start_phase_2 = get_date(edf, phase=2, start=True) if has_results else None\n",
    "    start_phase_3 = get_date(edf, phase='3', start=True) if has_results else None\n",
    "    result_phase_12 = get_date(edf, phase='1-2', start=False) if has_results else None\n",
    "    #result_phase_2 = get_date(edf, phase=2, start=False) if has_results else None\n",
    "    result_phase_3 = get_date(edf, phase='3', start=False) if has_results else None\n",
    "    \n",
    "    res = {\n",
    "        'results_available' : has_results,\n",
    "        'start_phase_12' : start_phase_12,\n",
    "        'result_phase_12' : result_phase_12,\n",
    "        #'start_phase_2' : start_phase_2,\n",
    "        #'result_phase_2' : result_phase_2,\n",
    "        'start_phase_3' : start_phase_3,\n",
    "        'result_phase_3' : result_phase_3,\n",
    "    }\n",
    "    for c in r.index:\n",
    "        res[c] = r[c]\n",
    "    \n",
    "    diff_stats.append(res)\n",
    "diff_stats = pd.DataFrame(diff_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "678e5ecf-622c-4570-a2a6-ef853b81b099",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['results_available', 'start_phase_12', 'result_phase_12',\n",
       "       'start_phase_3', 'result_phase_3', 'guideline_id', 'prev_version',\n",
       "       'cur_version', 'document', 'text', 'type', 'cui', 'tuis', 'canonical',\n",
       "       'confidence', 'file', 'number', 'recommendation_grade',\n",
       "       'type_of_recommendation', 'cur_release_date', 'cur_release',\n",
       "       'prev_release'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_stats.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fb21ead3-ece7-4eb7-b8a9-f87f3ac1b66d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>guideline_id</th>\n",
       "      <th>prev_version</th>\n",
       "      <th>cur_version</th>\n",
       "      <th>cui</th>\n",
       "      <th>text</th>\n",
       "      <th>canonical</th>\n",
       "      <th>cur_release_date</th>\n",
       "      <th>results_available</th>\n",
       "      <th>start_phase_12</th>\n",
       "      <th>result_phase_12</th>\n",
       "      <th>start_phase_3</th>\n",
       "      <th>result_phase_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C0728747</td>\n",
       "      <td>Trastuzumab</td>\n",
       "      <td>Trastuzumab</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2011-06-30</td>\n",
       "      <td>2018-07-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C5242455</td>\n",
       "      <td>Dostarlimab</td>\n",
       "      <td>Dostarlimab-containing product</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2016-03-07</td>\n",
       "      <td>2020-11-01</td>\n",
       "      <td>2019-07-18</td>\n",
       "      <td>2023-06-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C3658706</td>\n",
       "      <td>Pembrolizumab</td>\n",
       "      <td>Product containing pembrolizumab (medicinal pr...</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2014-07-17</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>2018-06-11</td>\n",
       "      <td>2021-11-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4527300</td>\n",
       "      <td>MBSR</td>\n",
       "      <td>Meditation-Based Stress Reduction (Breast Cancer)</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C1883583</td>\n",
       "      <td>Yoga</td>\n",
       "      <td>Joga</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>hepatozellulaeres-karzinom-und-biliaere-karzinome</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>C4055109</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2012-09-05</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>2017-10-11</td>\n",
       "      <td>2022-08-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hepatozellulaeres-karzinom-und-biliaere-karzinome</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>C2351038</td>\n",
       "      <td>Tremelimumab</td>\n",
       "      <td>ticilimumab</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2008-12-31</td>\n",
       "      <td>2013-07-01</td>\n",
       "      <td>2017-10-11</td>\n",
       "      <td>2022-08-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4055109</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2012-09-05</td>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>2014-05-07</td>\n",
       "      <td>2017-11-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4724806</td>\n",
       "      <td>Cemiplimab</td>\n",
       "      <td>Cemiplimab (substance)</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>2021-05-01</td>\n",
       "      <td>2017-05-29</td>\n",
       "      <td>2021-02-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4727545</td>\n",
       "      <td>Nivolumab + Ipilimumab über 2 Zyklen</td>\n",
       "      <td>Ipilimumab/Nivolumab Regimen</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2013-10-24</td>\n",
       "      <td>2016-07-01</td>\n",
       "      <td>2014-10-31</td>\n",
       "      <td>2019-10-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C0281303</td>\n",
       "      <td>Cisplatin/Carboplatin + Paclitaxel</td>\n",
       "      <td>Carboplatin/Cisplatin/Paclitaxel</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C5446297</td>\n",
       "      <td>Amivantamab</td>\n",
       "      <td>Amivantamab</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2016-05-24</td>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>2023-11-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4080091</td>\n",
       "      <td>Lorlatinib</td>\n",
       "      <td>Product containing lorlatinib (medicinal product)</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2014-01-08</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2015-12-16</td>\n",
       "      <td>2018-12-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4086264</td>\n",
       "      <td>Entrectinib</td>\n",
       "      <td>Entrectinib-containing product</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2015-11-19</td>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4524909</td>\n",
       "      <td>Repotrectinib</td>\n",
       "      <td>repotrectinib</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-03-07</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4524315</td>\n",
       "      <td>Larotrectinib</td>\n",
       "      <td>Larotrectinib (substance)</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-08-18</td>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C5235396</td>\n",
       "      <td>Selpercatinib</td>\n",
       "      <td>Selpercatinib (substance)</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-05-02</td>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>2023-11-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C5226874</td>\n",
       "      <td>Pralsetinib</td>\n",
       "      <td>Pralsetinib</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-03-17</td>\n",
       "      <td>2021-07-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C4053698</td>\n",
       "      <td>Capmatinib</td>\n",
       "      <td>2-Fluoro-N-methyl-4-(7-(quinolin-6-ylmethyl)im...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2012-02-29</td>\n",
       "      <td>2018-11-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>C5418250</td>\n",
       "      <td>Sotorasib</td>\n",
       "      <td>Sotorasib</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2018-08-27</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>2020-06-04</td>\n",
       "      <td>2023-03-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>nierenzellkarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>C0040905</td>\n",
       "      <td>Trichlorethen</td>\n",
       "      <td>Trichlorethylen</td>\n",
       "      <td>2023-02-01</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>C3657270</td>\n",
       "      <td>Nivolumab</td>\n",
       "      <td>Nivolumab</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2013-10-24</td>\n",
       "      <td>2018-10-01</td>\n",
       "      <td>2014-10-31</td>\n",
       "      <td>2019-10-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>C3658706</td>\n",
       "      <td>Pembrolizumab</td>\n",
       "      <td>Product containing pembrolizumab (medicinal pr...</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2012-03-31</td>\n",
       "      <td>2018-05-01</td>\n",
       "      <td>2015-05-11</td>\n",
       "      <td>2018-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>C0008320</td>\n",
       "      <td>Cholezystektomie</td>\n",
       "      <td>Cholezystektomie</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>C0022671</td>\n",
       "      <td>Nierentransplantation</td>\n",
       "      <td>Nierentransplantation</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>C0019139</td>\n",
       "      <td>niedermolekularen Heparin</td>\n",
       "      <td>Heparin, niedrigmolekulares</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2003-04-30</td>\n",
       "      <td>2012-06-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>C2744440</td>\n",
       "      <td>Niraparib</td>\n",
       "      <td>Niraparib-containing product</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2008-09-30</td>\n",
       "      <td>2013-08-01</td>\n",
       "      <td>2019-01-25</td>\n",
       "      <td>2023-06-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>C4042960</td>\n",
       "      <td>Talazoparib</td>\n",
       "      <td>Talazoparib-containing product</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>True</td>\n",
       "      <td>2017-07-04</td>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>2018-10-31</td>\n",
       "      <td>2023-06-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>6.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>C5238124</td>\n",
       "      <td>Vipivotidtetraxetan</td>\n",
       "      <td>Vipivotide Tetraxetan</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         guideline_id prev_version  \\\n",
       "0                                 endometriumkarzinom          1.0   \n",
       "1                                 endometriumkarzinom          1.0   \n",
       "2                                 endometriumkarzinom          1.0   \n",
       "3                                 endometriumkarzinom          1.0   \n",
       "4                                 endometriumkarzinom          1.0   \n",
       "5   hepatozellulaeres-karzinom-und-biliaere-karzinome          3.0   \n",
       "6   hepatozellulaeres-karzinom-und-biliaere-karzinome          3.0   \n",
       "7                                      lungenkarzinom          1.0   \n",
       "8                                      lungenkarzinom          1.0   \n",
       "9                                      lungenkarzinom          1.0   \n",
       "10                                     lungenkarzinom          1.0   \n",
       "11                                     lungenkarzinom          1.0   \n",
       "12                                     lungenkarzinom          1.0   \n",
       "13                                     lungenkarzinom          1.0   \n",
       "14                                     lungenkarzinom          1.0   \n",
       "15                                     lungenkarzinom          1.0   \n",
       "16                                     lungenkarzinom          1.0   \n",
       "17                                     lungenkarzinom          1.0   \n",
       "18                                     lungenkarzinom          1.0   \n",
       "19                                     lungenkarzinom          1.0   \n",
       "20                                 nierenzellkarzinom          3.0   \n",
       "21                                 oesophaguskarzinom          3.0   \n",
       "22                                 oesophaguskarzinom          3.0   \n",
       "23                                   pankreaskarzinom          2.0   \n",
       "24                                   pankreaskarzinom          2.0   \n",
       "25                                   pankreaskarzinom          2.0   \n",
       "26                                   prostatakarzinom          6.2   \n",
       "27                                   prostatakarzinom          6.2   \n",
       "28                                   prostatakarzinom          6.2   \n",
       "\n",
       "   cur_version       cui                                  text  \\\n",
       "0          2.0  C0728747                           Trastuzumab   \n",
       "1          2.0  C5242455                           Dostarlimab   \n",
       "2          2.0  C3658706                         Pembrolizumab   \n",
       "3          2.0  C4527300                                  MBSR   \n",
       "4          2.0  C1883583                                  Yoga   \n",
       "5          4.0  C4055109                            Durvalumab   \n",
       "6          4.0  C2351038                          Tremelimumab   \n",
       "7          2.0  C4055109                            Durvalumab   \n",
       "8          2.0  C4724806                            Cemiplimab   \n",
       "9          2.0  C4727545  Nivolumab + Ipilimumab über 2 Zyklen   \n",
       "10         2.0  C0281303    Cisplatin/Carboplatin + Paclitaxel   \n",
       "11         2.0  C5446297                           Amivantamab   \n",
       "12         2.0  C4080091                            Lorlatinib   \n",
       "13         2.0  C4086264                           Entrectinib   \n",
       "14         2.0  C4524909                         Repotrectinib   \n",
       "15         2.0  C4524315                         Larotrectinib   \n",
       "16         2.0  C5235396                         Selpercatinib   \n",
       "17         2.0  C5226874                           Pralsetinib   \n",
       "18         2.0  C4053698                            Capmatinib   \n",
       "19         2.0  C5418250                             Sotorasib   \n",
       "20         4.0  C0040905                         Trichlorethen   \n",
       "21         3.1  C3657270                             Nivolumab   \n",
       "22         3.1  C3658706                         Pembrolizumab   \n",
       "23         3.0  C0008320                      Cholezystektomie   \n",
       "24         3.0  C0022671                 Nierentransplantation   \n",
       "25         3.0  C0019139             niedermolekularen Heparin   \n",
       "26         7.0  C2744440                             Niraparib   \n",
       "27         7.0  C4042960                           Talazoparib   \n",
       "28         7.0  C5238124                   Vipivotidtetraxetan   \n",
       "\n",
       "                                            canonical cur_release_date  \\\n",
       "0                                         Trastuzumab       2022-09-01   \n",
       "1                      Dostarlimab-containing product       2022-09-01   \n",
       "2   Product containing pembrolizumab (medicinal pr...       2022-09-01   \n",
       "3   Meditation-Based Stress Reduction (Breast Cancer)       2022-09-01   \n",
       "4                                                Joga       2022-09-01   \n",
       "5                                          Durvalumab       2023-08-01   \n",
       "6                                         ticilimumab       2023-08-01   \n",
       "7                                          Durvalumab       2022-11-01   \n",
       "8                              Cemiplimab (substance)       2022-11-01   \n",
       "9                        Ipilimumab/Nivolumab Regimen       2022-11-01   \n",
       "10                   Carboplatin/Cisplatin/Paclitaxel       2022-11-01   \n",
       "11                                        Amivantamab       2022-11-01   \n",
       "12  Product containing lorlatinib (medicinal product)       2022-11-01   \n",
       "13                     Entrectinib-containing product       2022-11-01   \n",
       "14                                      repotrectinib       2022-11-01   \n",
       "15                          Larotrectinib (substance)       2022-11-01   \n",
       "16                          Selpercatinib (substance)       2022-11-01   \n",
       "17                                        Pralsetinib       2022-11-01   \n",
       "18  2-Fluoro-N-methyl-4-(7-(quinolin-6-ylmethyl)im...       2022-11-01   \n",
       "19                                          Sotorasib       2022-11-01   \n",
       "20                                    Trichlorethylen       2023-02-01   \n",
       "21                                          Nivolumab       2022-06-01   \n",
       "22  Product containing pembrolizumab (medicinal pr...       2022-06-01   \n",
       "23                                   Cholezystektomie       2024-03-01   \n",
       "24                              Nierentransplantation       2024-03-01   \n",
       "25                        Heparin, niedrigmolekulares       2024-03-01   \n",
       "26                       Niraparib-containing product       2024-05-01   \n",
       "27                     Talazoparib-containing product       2024-05-01   \n",
       "28                              Vipivotide Tetraxetan       2024-05-01   \n",
       "\n",
       "    results_available start_phase_12 result_phase_12 start_phase_3  \\\n",
       "0                True     2011-06-30      2018-07-01          None   \n",
       "1                True     2016-03-07      2020-11-01    2019-07-18   \n",
       "2                True     2014-07-17      2019-05-01    2018-06-11   \n",
       "3               False           None            None          None   \n",
       "4               False           None            None          None   \n",
       "5                True     2012-09-05      2019-03-01    2017-10-11   \n",
       "6                True     2008-12-31      2013-07-01    2017-10-11   \n",
       "7                True     2012-09-05      2016-03-01    2014-05-07   \n",
       "8                True     2015-02-02      2021-05-01    2017-05-29   \n",
       "9                True     2013-10-24      2016-07-01    2014-10-31   \n",
       "10              False           None            None          None   \n",
       "11               True     2016-05-24      2021-10-01    2020-09-30   \n",
       "12               True     2014-01-08      2016-01-01    2015-12-16   \n",
       "13               True     2015-11-19      2022-10-01          None   \n",
       "14               True     2017-03-07      2024-01-01          None   \n",
       "15               True     2017-08-18      2021-10-01          None   \n",
       "16               True     2017-05-02      2020-08-01    2020-02-17   \n",
       "17               True     2017-03-17      2021-07-01          None   \n",
       "18               True     2012-02-29      2018-11-01          None   \n",
       "19               True     2018-08-27      2020-09-01    2020-06-04   \n",
       "20              False           None            None          None   \n",
       "21               True     2013-10-24      2018-10-01    2014-10-31   \n",
       "22               True     2012-03-31      2018-05-01    2015-05-11   \n",
       "23              False           None            None          None   \n",
       "24              False           None            None          None   \n",
       "25               True     2003-04-30      2012-06-01          None   \n",
       "26               True     2008-09-30      2013-08-01    2019-01-25   \n",
       "27               True     2017-07-04      2021-09-01    2018-10-31   \n",
       "28              False           None            None          None   \n",
       "\n",
       "   result_phase_3  \n",
       "0            None  \n",
       "1      2023-06-01  \n",
       "2      2021-11-17  \n",
       "3            None  \n",
       "4            None  \n",
       "5      2022-08-01  \n",
       "6      2022-08-01  \n",
       "7      2017-11-01  \n",
       "8      2021-02-01  \n",
       "9      2019-10-22  \n",
       "10           None  \n",
       "11     2023-11-01  \n",
       "12     2018-12-07  \n",
       "13           None  \n",
       "14           None  \n",
       "15           None  \n",
       "16     2023-11-01  \n",
       "17           None  \n",
       "18           None  \n",
       "19     2023-03-01  \n",
       "20           None  \n",
       "21     2019-10-22  \n",
       "22     2018-07-01  \n",
       "23           None  \n",
       "24           None  \n",
       "25           None  \n",
       "26     2023-06-01  \n",
       "27     2023-06-15  \n",
       "28           None  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_stats[['guideline_id', 'prev_version', 'cur_version', 'cui', 'text', 'canonical', 'cur_release_date', \n",
    "            'results_available', 'start_phase_12', 'result_phase_12', 'start_phase_3', 'result_phase_3']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "db4046b5-78c2-4b70-acd3-4bd5a3868f2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>guideline_id</th>\n",
       "      <th>cui</th>\n",
       "      <th>text</th>\n",
       "      <th>cur_release</th>\n",
       "      <th>start_phase_12</th>\n",
       "      <th>result_phase_12</th>\n",
       "      <th>start_phase_3</th>\n",
       "      <th>result_phase_3</th>\n",
       "      <th>diff_start_phase_12</th>\n",
       "      <th>diff_result_phase_12</th>\n",
       "      <th>diff_phase_123</th>\n",
       "      <th>diff_phase_12</th>\n",
       "      <th>diff_phase_3</th>\n",
       "      <th>diff_start_phase_3</th>\n",
       "      <th>diff_result_phase_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>C0728747</td>\n",
       "      <td>Trastuzumab</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2011-06-30</td>\n",
       "      <td>2018-07-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>4081 days</td>\n",
       "      <td>1523 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2558 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>C5242455</td>\n",
       "      <td>Dostarlimab</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2016-03-07</td>\n",
       "      <td>2020-11-01</td>\n",
       "      <td>2019-07-18</td>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>2369 days</td>\n",
       "      <td>669 days</td>\n",
       "      <td>2642 days</td>\n",
       "      <td>1700 days</td>\n",
       "      <td>1414 days</td>\n",
       "      <td>1141 days</td>\n",
       "      <td>-273 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>C3658706</td>\n",
       "      <td>Pembrolizumab</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2014-07-17</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>2018-06-11</td>\n",
       "      <td>2021-11-17</td>\n",
       "      <td>2968 days</td>\n",
       "      <td>1219 days</td>\n",
       "      <td>2680 days</td>\n",
       "      <td>1749 days</td>\n",
       "      <td>1255 days</td>\n",
       "      <td>1543 days</td>\n",
       "      <td>288 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>hepatozellulaeres-karzinom-und-biliaere-karzinome</td>\n",
       "      <td>C4055109</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>2012-09-05</td>\n",
       "      <td>2019-03-01</td>\n",
       "      <td>2017-10-11</td>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>3982 days</td>\n",
       "      <td>1614 days</td>\n",
       "      <td>3617 days</td>\n",
       "      <td>2368 days</td>\n",
       "      <td>1755 days</td>\n",
       "      <td>2120 days</td>\n",
       "      <td>365 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hepatozellulaeres-karzinom-und-biliaere-karzinome</td>\n",
       "      <td>C2351038</td>\n",
       "      <td>Tremelimumab</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>2008-12-31</td>\n",
       "      <td>2013-07-01</td>\n",
       "      <td>2017-10-11</td>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>5326 days</td>\n",
       "      <td>3683 days</td>\n",
       "      <td>4961 days</td>\n",
       "      <td>1643 days</td>\n",
       "      <td>1755 days</td>\n",
       "      <td>2120 days</td>\n",
       "      <td>365 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C4055109</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2012-09-05</td>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>2014-05-07</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>3709 days</td>\n",
       "      <td>2436 days</td>\n",
       "      <td>1883 days</td>\n",
       "      <td>1273 days</td>\n",
       "      <td>1274 days</td>\n",
       "      <td>3100 days</td>\n",
       "      <td>1826 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C4724806</td>\n",
       "      <td>Cemiplimab</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2015-02-02</td>\n",
       "      <td>2021-05-01</td>\n",
       "      <td>2017-05-29</td>\n",
       "      <td>2021-02-01</td>\n",
       "      <td>2829 days</td>\n",
       "      <td>549 days</td>\n",
       "      <td>2191 days</td>\n",
       "      <td>2280 days</td>\n",
       "      <td>1344 days</td>\n",
       "      <td>1982 days</td>\n",
       "      <td>638 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C4727545</td>\n",
       "      <td>Nivolumab + Ipilimumab über 2 Zyklen</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2013-10-24</td>\n",
       "      <td>2016-07-01</td>\n",
       "      <td>2014-10-31</td>\n",
       "      <td>2019-10-22</td>\n",
       "      <td>3295 days</td>\n",
       "      <td>2314 days</td>\n",
       "      <td>2189 days</td>\n",
       "      <td>981 days</td>\n",
       "      <td>1817 days</td>\n",
       "      <td>2923 days</td>\n",
       "      <td>1106 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C5446297</td>\n",
       "      <td>Amivantamab</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2016-05-24</td>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>2352 days</td>\n",
       "      <td>396 days</td>\n",
       "      <td>2717 days</td>\n",
       "      <td>1956 days</td>\n",
       "      <td>1127 days</td>\n",
       "      <td>762 days</td>\n",
       "      <td>-365 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C4080091</td>\n",
       "      <td>Lorlatinib</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2014-01-08</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2015-12-16</td>\n",
       "      <td>2018-12-07</td>\n",
       "      <td>3219 days</td>\n",
       "      <td>2496 days</td>\n",
       "      <td>1794 days</td>\n",
       "      <td>723 days</td>\n",
       "      <td>1087 days</td>\n",
       "      <td>2512 days</td>\n",
       "      <td>1425 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C4086264</td>\n",
       "      <td>Entrectinib</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2015-11-19</td>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2539 days</td>\n",
       "      <td>31 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2508 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C4524909</td>\n",
       "      <td>Repotrectinib</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2017-03-07</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2065 days</td>\n",
       "      <td>-426 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2491 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C4524315</td>\n",
       "      <td>Larotrectinib</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2017-08-18</td>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>1901 days</td>\n",
       "      <td>396 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1505 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C5235396</td>\n",
       "      <td>Selpercatinib</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2017-05-02</td>\n",
       "      <td>2020-08-01</td>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>2009 days</td>\n",
       "      <td>822 days</td>\n",
       "      <td>2374 days</td>\n",
       "      <td>1187 days</td>\n",
       "      <td>1353 days</td>\n",
       "      <td>988 days</td>\n",
       "      <td>-365 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C5226874</td>\n",
       "      <td>Pralsetinib</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2017-03-17</td>\n",
       "      <td>2021-07-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>2055 days</td>\n",
       "      <td>488 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1567 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C4053698</td>\n",
       "      <td>Capmatinib</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2012-02-29</td>\n",
       "      <td>2018-11-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>3898 days</td>\n",
       "      <td>1461 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2437 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>C5418250</td>\n",
       "      <td>Sotorasib</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2018-08-27</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>2020-06-04</td>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>1527 days</td>\n",
       "      <td>791 days</td>\n",
       "      <td>1647 days</td>\n",
       "      <td>736 days</td>\n",
       "      <td>1000 days</td>\n",
       "      <td>880 days</td>\n",
       "      <td>-120 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>C3657270</td>\n",
       "      <td>Nivolumab</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2013-10-24</td>\n",
       "      <td>2018-10-01</td>\n",
       "      <td>2014-10-31</td>\n",
       "      <td>2019-10-22</td>\n",
       "      <td>3142 days</td>\n",
       "      <td>1339 days</td>\n",
       "      <td>2189 days</td>\n",
       "      <td>1803 days</td>\n",
       "      <td>1817 days</td>\n",
       "      <td>2770 days</td>\n",
       "      <td>953 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>C3658706</td>\n",
       "      <td>Pembrolizumab</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>2012-03-31</td>\n",
       "      <td>2018-05-01</td>\n",
       "      <td>2015-05-11</td>\n",
       "      <td>2018-07-01</td>\n",
       "      <td>3714 days</td>\n",
       "      <td>1492 days</td>\n",
       "      <td>2283 days</td>\n",
       "      <td>2222 days</td>\n",
       "      <td>1147 days</td>\n",
       "      <td>2578 days</td>\n",
       "      <td>1431 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>C0019139</td>\n",
       "      <td>niedermolekularen Heparin</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>2003-04-30</td>\n",
       "      <td>2012-06-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>7611 days</td>\n",
       "      <td>4291 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>3320 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>C2744440</td>\n",
       "      <td>Niraparib</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>2008-09-30</td>\n",
       "      <td>2013-08-01</td>\n",
       "      <td>2019-01-25</td>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>5692 days</td>\n",
       "      <td>3926 days</td>\n",
       "      <td>5357 days</td>\n",
       "      <td>1766 days</td>\n",
       "      <td>1588 days</td>\n",
       "      <td>1923 days</td>\n",
       "      <td>335 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>prostatakarzinom</td>\n",
       "      <td>C4042960</td>\n",
       "      <td>Talazoparib</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>2017-07-04</td>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>2018-10-31</td>\n",
       "      <td>2023-06-15</td>\n",
       "      <td>2493 days</td>\n",
       "      <td>973 days</td>\n",
       "      <td>2172 days</td>\n",
       "      <td>1520 days</td>\n",
       "      <td>1688 days</td>\n",
       "      <td>2009 days</td>\n",
       "      <td>321 days</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         guideline_id       cui  \\\n",
       "0                                 endometriumkarzinom  C0728747   \n",
       "1                                 endometriumkarzinom  C5242455   \n",
       "2                                 endometriumkarzinom  C3658706   \n",
       "5   hepatozellulaeres-karzinom-und-biliaere-karzinome  C4055109   \n",
       "6   hepatozellulaeres-karzinom-und-biliaere-karzinome  C2351038   \n",
       "7                                      lungenkarzinom  C4055109   \n",
       "8                                      lungenkarzinom  C4724806   \n",
       "9                                      lungenkarzinom  C4727545   \n",
       "11                                     lungenkarzinom  C5446297   \n",
       "12                                     lungenkarzinom  C4080091   \n",
       "13                                     lungenkarzinom  C4086264   \n",
       "14                                     lungenkarzinom  C4524909   \n",
       "15                                     lungenkarzinom  C4524315   \n",
       "16                                     lungenkarzinom  C5235396   \n",
       "17                                     lungenkarzinom  C5226874   \n",
       "18                                     lungenkarzinom  C4053698   \n",
       "19                                     lungenkarzinom  C5418250   \n",
       "21                                 oesophaguskarzinom  C3657270   \n",
       "22                                 oesophaguskarzinom  C3658706   \n",
       "25                                   pankreaskarzinom  C0019139   \n",
       "26                                   prostatakarzinom  C2744440   \n",
       "27                                   prostatakarzinom  C4042960   \n",
       "\n",
       "                                    text      cur_release start_phase_12  \\\n",
       "0                            Trastuzumab  v2.1_2023_03_30     2011-06-30   \n",
       "1                            Dostarlimab  v2.1_2023_03_30     2016-03-07   \n",
       "2                          Pembrolizumab  v2.1_2023_03_30     2014-07-17   \n",
       "5                             Durvalumab  v2.2_2024_04_22     2012-09-05   \n",
       "6                           Tremelimumab  v2.2_2024_04_22     2008-12-31   \n",
       "7                             Durvalumab  v2.1_2023_03_30     2012-09-05   \n",
       "8                             Cemiplimab  v2.1_2023_03_30     2015-02-02   \n",
       "9   Nivolumab + Ipilimumab über 2 Zyklen  v2.1_2023_03_30     2013-10-24   \n",
       "11                           Amivantamab  v2.1_2023_03_30     2016-05-24   \n",
       "12                            Lorlatinib  v2.1_2023_03_30     2014-01-08   \n",
       "13                           Entrectinib  v2.1_2023_03_30     2015-11-19   \n",
       "14                         Repotrectinib  v2.1_2023_03_30     2017-03-07   \n",
       "15                         Larotrectinib  v2.1_2023_03_30     2017-08-18   \n",
       "16                         Selpercatinib  v2.1_2023_03_30     2017-05-02   \n",
       "17                           Pralsetinib  v2.1_2023_03_30     2017-03-17   \n",
       "18                            Capmatinib  v2.1_2023_03_30     2012-02-29   \n",
       "19                             Sotorasib  v2.1_2023_03_30     2018-08-27   \n",
       "21                             Nivolumab  v2.1_2023_03_30     2013-10-24   \n",
       "22                         Pembrolizumab  v2.1_2023_03_30     2012-03-31   \n",
       "25             niedermolekularen Heparin  v2.2_2024_04_22     2003-04-30   \n",
       "26                             Niraparib  v2.3_2024_06_18     2008-09-30   \n",
       "27                           Talazoparib  v2.3_2024_06_18     2017-07-04   \n",
       "\n",
       "   result_phase_12 start_phase_3 result_phase_3 diff_start_phase_12  \\\n",
       "0       2018-07-01          None           None           4081 days   \n",
       "1       2020-11-01    2019-07-18     2023-06-01           2369 days   \n",
       "2       2019-05-01    2018-06-11     2021-11-17           2968 days   \n",
       "5       2019-03-01    2017-10-11     2022-08-01           3982 days   \n",
       "6       2013-07-01    2017-10-11     2022-08-01           5326 days   \n",
       "7       2016-03-01    2014-05-07     2017-11-01           3709 days   \n",
       "8       2021-05-01    2017-05-29     2021-02-01           2829 days   \n",
       "9       2016-07-01    2014-10-31     2019-10-22           3295 days   \n",
       "11      2021-10-01    2020-09-30     2023-11-01           2352 days   \n",
       "12      2016-01-01    2015-12-16     2018-12-07           3219 days   \n",
       "13      2022-10-01          None           None           2539 days   \n",
       "14      2024-01-01          None           None           2065 days   \n",
       "15      2021-10-01          None           None           1901 days   \n",
       "16      2020-08-01    2020-02-17     2023-11-01           2009 days   \n",
       "17      2021-07-01          None           None           2055 days   \n",
       "18      2018-11-01          None           None           3898 days   \n",
       "19      2020-09-01    2020-06-04     2023-03-01           1527 days   \n",
       "21      2018-10-01    2014-10-31     2019-10-22           3142 days   \n",
       "22      2018-05-01    2015-05-11     2018-07-01           3714 days   \n",
       "25      2012-06-01          None           None           7611 days   \n",
       "26      2013-08-01    2019-01-25     2023-06-01           5692 days   \n",
       "27      2021-09-01    2018-10-31     2023-06-15           2493 days   \n",
       "\n",
       "   diff_result_phase_12 diff_phase_123 diff_phase_12 diff_phase_3  \\\n",
       "0             1523 days            NaT     2558 days          NaT   \n",
       "1              669 days      2642 days     1700 days    1414 days   \n",
       "2             1219 days      2680 days     1749 days    1255 days   \n",
       "5             1614 days      3617 days     2368 days    1755 days   \n",
       "6             3683 days      4961 days     1643 days    1755 days   \n",
       "7             2436 days      1883 days     1273 days    1274 days   \n",
       "8              549 days      2191 days     2280 days    1344 days   \n",
       "9             2314 days      2189 days      981 days    1817 days   \n",
       "11             396 days      2717 days     1956 days    1127 days   \n",
       "12            2496 days      1794 days      723 days    1087 days   \n",
       "13              31 days            NaT     2508 days          NaT   \n",
       "14            -426 days            NaT     2491 days          NaT   \n",
       "15             396 days            NaT     1505 days          NaT   \n",
       "16             822 days      2374 days     1187 days    1353 days   \n",
       "17             488 days            NaT     1567 days          NaT   \n",
       "18            1461 days            NaT     2437 days          NaT   \n",
       "19             791 days      1647 days      736 days    1000 days   \n",
       "21            1339 days      2189 days     1803 days    1817 days   \n",
       "22            1492 days      2283 days     2222 days    1147 days   \n",
       "25            4291 days            NaT     3320 days          NaT   \n",
       "26            3926 days      5357 days     1766 days    1588 days   \n",
       "27             973 days      2172 days     1520 days    1688 days   \n",
       "\n",
       "   diff_start_phase_3 diff_result_phase_3  \n",
       "0                 NaT                 NaT  \n",
       "1           1141 days           -273 days  \n",
       "2           1543 days            288 days  \n",
       "5           2120 days            365 days  \n",
       "6           2120 days            365 days  \n",
       "7           3100 days           1826 days  \n",
       "8           1982 days            638 days  \n",
       "9           2923 days           1106 days  \n",
       "11           762 days           -365 days  \n",
       "12          2512 days           1425 days  \n",
       "13                NaT                 NaT  \n",
       "14                NaT                 NaT  \n",
       "15                NaT                 NaT  \n",
       "16           988 days           -365 days  \n",
       "17                NaT                 NaT  \n",
       "18                NaT                 NaT  \n",
       "19           880 days           -120 days  \n",
       "21          2770 days            953 days  \n",
       "22          2578 days           1431 days  \n",
       "25                NaT                 NaT  \n",
       "26          1923 days            335 days  \n",
       "27          2009 days            321 days  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "diff_stats_res = diff_stats.copy()\n",
    "\n",
    "for phase in ['12', '3']:   \n",
    "    for s in ('start', 'result'):\n",
    "        d = f'{s}_phase_{phase}'\n",
    "        diff_stats_res['diff_' + d] = (diff_stats_res.cur_release_date - diff_stats[d])\n",
    "#        diff_stats_res.loc[~diff_stats_res.results_available | (diff_stats_res[d] > diff_stats_res.cur_release_date), 'diff_' + d] = None\n",
    "    diff_stats_res['diff_phase_123'] = diff_stats_res.result_phase_3 - diff_stats_res.start_phase_12\n",
    "    diff_stats_res['diff_phase_12'] = diff_stats_res.result_phase_12 - diff_stats_res.start_phase_12\n",
    "    diff_stats_res['diff_phase_3'] = diff_stats_res.result_phase_3 - diff_stats_res.start_phase_3\n",
    "diff_stats_res = diff_stats_res[~diff_stats_res.diff_phase_12.isna() | ~diff_stats_res.diff_phase_3.isna()]\n",
    "#diff_stats_res\n",
    "diff_stats_res[['guideline_id', 'cui', 'text', 'cur_release'] + [c for c in diff_stats_res.columns if 'phase' in c]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8c389ce3-bc94-493e-b7f0-7695173fd983",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "endometriumkarzinom & 1.0 $\\blacktriangleright$ 2.0 & Trastuzumab, Dostarlimab, Pembrolizumab\n",
      "hepatozellulaeres-karzinom-und-biliaere-karzinome & 3.0 $\\blacktriangleright$ 4.0 & Durvalumab, Tremelimumab\n",
      "lungenkarzinom & 1.0 $\\blacktriangleright$ 2.0 & Durvalumab, Cemiplimab, Nivolumab + Ipilimumab über 2 Zyklen, Amivantamab, Lorlatinib, Entrectinib, Repotrectinib, Larotrectinib, Selpercatinib, Pralsetinib, Capmatinib, Sotorasib\n",
      "oesophaguskarzinom & 3.0 $\\blacktriangleright$ 3.1 & Nivolumab, Pembrolizumab\n",
      "pankreaskarzinom & 2.0 $\\blacktriangleright$ 3.0 & niedermolekularen Heparin\n",
      "prostatakarzinom & 6.2 $\\blacktriangleright$ 7.0 & Niraparib, Talazoparib\n"
     ]
    }
   ],
   "source": [
    "ix = diff_stats_res.set_index(['guideline_id', 'prev_version', 'cur_version'])\n",
    "for gl, prev_version, cur_version in ix.index.unique():\n",
    "    print(gl, '&', prev_version, '$\\\\blacktriangleright$', cur_version, '&', ', '.join(ix.loc[gl, prev_version, cur_version].text) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "02cc2be0-e857-4fee-a807-f2225db48445",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "diff_cols = ['diff_phase_12', 'diff_phase_3', 'diff_phase_123', 'diff_result_phase_3', 'diff_result_phase_12', 'diff_start_phase_12']\n",
    "diff_stats_years = diff_stats_res.copy()\n",
    "diff_stats_years[diff_cols] = diff_stats_res[diff_cols] / np.timedelta64(1, \"Y\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "fcc6c532-e2a7-4fa3-9aa2-b1a9a5c48aee",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>diff_phase_12</th>\n",
       "      <th>diff_phase_3</th>\n",
       "      <th>diff_phase_123</th>\n",
       "      <th>diff_result_phase_3</th>\n",
       "      <th>diff_result_phase_12</th>\n",
       "      <th>diff_start_phase_12</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.409049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.036730</td>\n",
       "      <td>9.445779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.718244</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.304808</td>\n",
       "      <td>5.589440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.120550</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.166348</td>\n",
       "      <td>5.204761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.481290</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.584543</td>\n",
       "      <td>5.640088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.820126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.336099</td>\n",
       "      <td>6.951546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.935118</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.084957</td>\n",
       "      <td>10.922880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.089851</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.748359</td>\n",
       "      <td>20.838210</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       diff_phase_12  diff_phase_3  diff_phase_123  diff_result_phase_3  \\\n",
       "count       7.000000           0.0             0.0                  0.0   \n",
       "mean        6.409049           NaN             NaN                  NaN   \n",
       "std         1.718244           NaN             NaN                  NaN   \n",
       "min         4.120550           NaN             NaN                  NaN   \n",
       "25%         5.481290           NaN             NaN                  NaN   \n",
       "50%         6.820126           NaN             NaN                  NaN   \n",
       "75%         6.935118           NaN             NaN                  NaN   \n",
       "max         9.089851           NaN             NaN                  NaN   \n",
       "\n",
       "       diff_result_phase_12  diff_start_phase_12  \n",
       "count              7.000000             7.000000  \n",
       "mean               3.036730             9.445779  \n",
       "std                4.304808             5.589440  \n",
       "min               -1.166348             5.204761  \n",
       "25%                0.584543             5.640088  \n",
       "50%                1.336099             6.951546  \n",
       "75%                4.084957            10.922880  \n",
       "max               11.748359            20.838210  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_stats_years[diff_stats_years.diff_phase_3.isna()][diff_cols].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ae96000f-b03b-40a4-97d8-41308fe91a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>diff_phase_12</th>\n",
       "      <th>diff_phase_3</th>\n",
       "      <th>diff_phase_123</th>\n",
       "      <th>diff_result_phase_3</th>\n",
       "      <th>diff_result_phase_12</th>\n",
       "      <th>diff_start_phase_12</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.363676</td>\n",
       "      <td>3.909914</td>\n",
       "      <td>7.428124</td>\n",
       "      <td>1.447440</td>\n",
       "      <td>4.511888</td>\n",
       "      <td>8.875564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.435913</td>\n",
       "      <td>0.783077</td>\n",
       "      <td>3.012725</td>\n",
       "      <td>1.891063</td>\n",
       "      <td>3.019264</td>\n",
       "      <td>3.119099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.979507</td>\n",
       "      <td>2.737907</td>\n",
       "      <td>4.509333</td>\n",
       "      <td>-0.999336</td>\n",
       "      <td>1.084211</td>\n",
       "      <td>4.180784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.367626</td>\n",
       "      <td>3.288226</td>\n",
       "      <td>5.970006</td>\n",
       "      <td>0.229984</td>\n",
       "      <td>2.208122</td>\n",
       "      <td>6.655852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.654442</td>\n",
       "      <td>3.704388</td>\n",
       "      <td>6.250642</td>\n",
       "      <td>0.999336</td>\n",
       "      <td>3.666057</td>\n",
       "      <td>8.602504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.145896</td>\n",
       "      <td>4.713307</td>\n",
       "      <td>7.388242</td>\n",
       "      <td>2.818675</td>\n",
       "      <td>6.502529</td>\n",
       "      <td>10.161742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.483364</td>\n",
       "      <td>4.974777</td>\n",
       "      <td>14.666968</td>\n",
       "      <td>4.999418</td>\n",
       "      <td>10.749023</td>\n",
       "      <td>15.584167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       diff_phase_12  diff_phase_3  diff_phase_123  diff_result_phase_3  \\\n",
       "count      15.000000     15.000000       15.000000            15.000000   \n",
       "mean        4.363676      3.909914        7.428124             1.447440   \n",
       "std         1.435913      0.783077        3.012725             1.891063   \n",
       "min         1.979507      2.737907        4.509333            -0.999336   \n",
       "25%         3.367626      3.288226        5.970006             0.229984   \n",
       "50%         4.654442      3.704388        6.250642             0.999336   \n",
       "75%         5.145896      4.713307        7.388242             2.818675   \n",
       "max         6.483364      4.974777       14.666968             4.999418   \n",
       "\n",
       "       diff_result_phase_12  diff_start_phase_12  \n",
       "count             15.000000            15.000000  \n",
       "mean               4.511888             8.875564  \n",
       "std                3.019264             3.119099  \n",
       "min                1.084211             4.180784  \n",
       "25%                2.208122             6.655852  \n",
       "50%                3.666057             8.602504  \n",
       "75%                6.502529            10.161742  \n",
       "max               10.749023            15.584167  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_stats_years[~diff_stats_years.diff_phase_3.isna()][diff_cols].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "2ed82194-49bd-484b-bce6-92d1fb8fa7d6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "col_map = {\n",
    "    'Overall' : 'diff_start_phase_12',\n",
    "    'Phase I/II\\nstart → end' : 'diff_phase_12',\n",
    "    'Phase III\\nstart → end': 'diff_phase_3',\n",
    "    'Phase I/II\\nend → guideline': 'diff_result_phase_12',\n",
    "    'Phase III\\nend → guideline': 'diff_result_phase_3',\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "c251ac8c-1ff3-4b1e-94df-4bc395a43481",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "\n",
    "data = []\n",
    "\n",
    "f, ax = plt.subplots(1, 1, figsize=(8,3))\n",
    "\n",
    "for c in col_map.values():\n",
    "    if c == 'diff_result_phase_12': \n",
    "        vals = diff_stats_years[diff_stats_years.diff_result_phase_3.isna()][c].dropna().values\n",
    "    else:\n",
    "        vals = diff_stats_years[c].dropna().values\n",
    "    data.append(vals)\n",
    "    \n",
    "bp = ax.boxplot(data, showmeans=True, patch_artist=True)\n",
    "ax.grid(axis='y')\n",
    "ax.set_xticklabels(col_map.keys())\n",
    "ax.set_ylabel('Years')\n",
    "ax.axvline(1.5, color='black')\n",
    "\n",
    "# Define colors for each group\n",
    "colors = ['lightyellow', 'white', 'white', 'white', 'white']\n",
    "\n",
    "# Color the boxes\n",
    "for patch, color in zip(bp['boxes'], colors):\n",
    "    patch.set_facecolor(color)\n",
    "\n",
    "plt.savefig('output/nge_timelag_boxplot.png', bbox_inches='tight', dpi=600)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "25a6870b-4b63-4bdc-9116-1c1062c7cbe2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>results_available</th>\n",
       "      <th>start_phase_12</th>\n",
       "      <th>result_phase_12</th>\n",
       "      <th>start_phase_3</th>\n",
       "      <th>result_phase_3</th>\n",
       "      <th>guideline_id</th>\n",
       "      <th>prev_version</th>\n",
       "      <th>cur_version</th>\n",
       "      <th>document</th>\n",
       "      <th>text</th>\n",
       "      <th>...</th>\n",
       "      <th>cur_release_date</th>\n",
       "      <th>cur_release</th>\n",
       "      <th>prev_release</th>\n",
       "      <th>diff_start_phase_12</th>\n",
       "      <th>diff_result_phase_12</th>\n",
       "      <th>diff_phase_123</th>\n",
       "      <th>diff_phase_12</th>\n",
       "      <th>diff_phase_3</th>\n",
       "      <th>diff_start_phase_3</th>\n",
       "      <th>diff_result_phase_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>True</td>\n",
       "      <td>2003-04-30</td>\n",
       "      <td>2012-06-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10_pankreaskarzinom_0300</td>\n",
       "      <td>niedermolekularen Heparin</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>20.838210</td>\n",
       "      <td>11.748359</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.089851</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>2011-06-30</td>\n",
       "      <td>2018-07-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0271</td>\n",
       "      <td>Trastuzumab</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>11.173398</td>\n",
       "      <td>4.169832</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.003566</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>True</td>\n",
       "      <td>2015-11-19</td>\n",
       "      <td>2022-10-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0399</td>\n",
       "      <td>Entrectinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>6.951546</td>\n",
       "      <td>0.084875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.866671</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>True</td>\n",
       "      <td>2017-03-07</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0402</td>\n",
       "      <td>Repotrectinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>5.653778</td>\n",
       "      <td>-1.166348</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.820126</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>True</td>\n",
       "      <td>2012-02-29</td>\n",
       "      <td>2018-11-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0414</td>\n",
       "      <td>Capmatinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>10.672362</td>\n",
       "      <td>4.000082</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.672279</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    results_available start_phase_12 result_phase_12 start_phase_3  \\\n",
       "25               True     2003-04-30      2012-06-01          None   \n",
       "0                True     2011-06-30      2018-07-01          None   \n",
       "13               True     2015-11-19      2022-10-01          None   \n",
       "14               True     2017-03-07      2024-01-01          None   \n",
       "18               True     2012-02-29      2018-11-01          None   \n",
       "\n",
       "   result_phase_3         guideline_id prev_version cur_version  \\\n",
       "25           None     pankreaskarzinom          2.0         3.0   \n",
       "0            None  endometriumkarzinom          1.0         2.0   \n",
       "13           None       lungenkarzinom          1.0         2.0   \n",
       "14           None       lungenkarzinom          1.0         2.0   \n",
       "18           None       lungenkarzinom          1.0         2.0   \n",
       "\n",
       "                       document                       text  ...  \\\n",
       "25     10_pankreaskarzinom_0300  niedermolekularen Heparin  ...   \n",
       "0   15_endometriumkarzinom_0271                Trastuzumab  ...   \n",
       "13       03_lungenkarzinom_0399                Entrectinib  ...   \n",
       "14       03_lungenkarzinom_0402              Repotrectinib  ...   \n",
       "18       03_lungenkarzinom_0414                 Capmatinib  ...   \n",
       "\n",
       "   cur_release_date      cur_release     prev_release diff_start_phase_12  \\\n",
       "25       2024-03-01  v2.2_2024_04_22  v2.1_2023_03_30           20.838210   \n",
       "0        2022-09-01  v2.1_2023_03_30  v2.0_2022_03_24           11.173398   \n",
       "13       2022-11-01  v2.1_2023_03_30  v2.0_2022_03_24            6.951546   \n",
       "14       2022-11-01  v2.1_2023_03_30  v2.0_2022_03_24            5.653778   \n",
       "18       2022-11-01  v2.1_2023_03_30  v2.0_2022_03_24           10.672362   \n",
       "\n",
       "    diff_result_phase_12 diff_phase_123  diff_phase_12 diff_phase_3  \\\n",
       "25             11.748359            NaN       9.089851          NaN   \n",
       "0               4.169832            NaN       7.003566          NaN   \n",
       "13              0.084875            NaN       6.866671          NaN   \n",
       "14             -1.166348            NaN       6.820126          NaN   \n",
       "18              4.000082            NaN       6.672279          NaN   \n",
       "\n",
       "   diff_start_phase_3 diff_result_phase_3  \n",
       "25                NaT                 NaN  \n",
       "0                 NaT                 NaN  \n",
       "13                NaT                 NaN  \n",
       "14                NaT                 NaN  \n",
       "18                NaT                 NaN  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_stats_years.sort_values('diff_phase_12', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "e5d5a8a4-4343-4574-b352-34cb8f895505",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>results_available</th>\n",
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       "      <th>diff_result_phase_12</th>\n",
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       "      <th>diff_phase_12</th>\n",
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       "      <th>diff_result_phase_3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>25</th>\n",
       "      <td>True</td>\n",
       "      <td>2003-04-30</td>\n",
       "      <td>2012-06-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>pankreaskarzinom</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10_pankreaskarzinom_0300</td>\n",
       "      <td>niedermolekularen Heparin</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>True</td>\n",
       "      <td>2008-09-30</td>\n",
       "      <td>2013-08-01</td>\n",
       "      <td>2019-01-25</td>\n",
       "      <td>2023-06-01</td>\n",
       "      <td>prostatakarzinom</td>\n",
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       "      <td>7.0</td>\n",
       "      <td>22_prostatakarzinom_0279</td>\n",
       "      <td>Niraparib</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>v2.3_2024_06_18</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>15.584167</td>\n",
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       "      <td>14.666968</td>\n",
       "      <td>4.835144</td>\n",
       "      <td>4.347796</td>\n",
       "      <td>1923 days</td>\n",
       "      <td>0.917199</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>True</td>\n",
       "      <td>2008-12-31</td>\n",
       "      <td>2013-07-01</td>\n",
       "      <td>2017-10-11</td>\n",
       "      <td>2022-08-01</td>\n",
       "      <td>hepatozellulaeres-karzinom-und-biliaere-karzinome</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11_hepatozellulaeres-karzinom-und-biliaere-kar...</td>\n",
       "      <td>Tremelimumab</td>\n",
       "      <td>...</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>v2.2_2024_04_22</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>14.582093</td>\n",
       "      <td>10.083712</td>\n",
       "      <td>13.582757</td>\n",
       "      <td>4.498381</td>\n",
       "      <td>4.805027</td>\n",
       "      <td>2120 days</td>\n",
       "      <td>0.999336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>True</td>\n",
       "      <td>2014-01-08</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2015-12-16</td>\n",
       "      <td>2018-12-07</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0381</td>\n",
       "      <td>Lorlatinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>8.813323</td>\n",
       "      <td>6.833816</td>\n",
       "      <td>4.911805</td>\n",
       "      <td>1.979507</td>\n",
       "      <td>2.976105</td>\n",
       "      <td>2512 days</td>\n",
       "      <td>3.901517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>True</td>\n",
       "      <td>2012-09-05</td>\n",
       "      <td>2016-03-01</td>\n",
       "      <td>2014-05-07</td>\n",
       "      <td>2017-11-01</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0284</td>\n",
       "      <td>Durvalumab</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
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       "      <td>10.154897</td>\n",
       "      <td>6.669541</td>\n",
       "      <td>5.155479</td>\n",
       "      <td>3.485356</td>\n",
       "      <td>3.488094</td>\n",
       "      <td>3100 days</td>\n",
       "      <td>4.999418</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    results_available start_phase_12 result_phase_12 start_phase_3  \\\n",
       "25               True     2003-04-30      2012-06-01          None   \n",
       "26               True     2008-09-30      2013-08-01    2019-01-25   \n",
       "6                True     2008-12-31      2013-07-01    2017-10-11   \n",
       "12               True     2014-01-08      2016-01-01    2015-12-16   \n",
       "7                True     2012-09-05      2016-03-01    2014-05-07   \n",
       "\n",
       "   result_phase_3                                       guideline_id  \\\n",
       "25           None                                   pankreaskarzinom   \n",
       "26     2023-06-01                                   prostatakarzinom   \n",
       "6      2022-08-01  hepatozellulaeres-karzinom-und-biliaere-karzinome   \n",
       "12     2018-12-07                                     lungenkarzinom   \n",
       "7      2017-11-01                                     lungenkarzinom   \n",
       "\n",
       "   prev_version cur_version  \\\n",
       "25          2.0         3.0   \n",
       "26          6.2         7.0   \n",
       "6           3.0         4.0   \n",
       "12          1.0         2.0   \n",
       "7           1.0         2.0   \n",
       "\n",
       "                                             document  \\\n",
       "25                           10_pankreaskarzinom_0300   \n",
       "26                           22_prostatakarzinom_0279   \n",
       "6   11_hepatozellulaeres-karzinom-und-biliaere-kar...   \n",
       "12                             03_lungenkarzinom_0381   \n",
       "7                              03_lungenkarzinom_0284   \n",
       "\n",
       "                         text  ... cur_release_date      cur_release  \\\n",
       "25  niedermolekularen Heparin  ...       2024-03-01  v2.2_2024_04_22   \n",
       "26                  Niraparib  ...       2024-05-01  v2.3_2024_06_18   \n",
       "6                Tremelimumab  ...       2023-08-01  v2.2_2024_04_22   \n",
       "12                 Lorlatinib  ...       2022-11-01  v2.1_2023_03_30   \n",
       "7                  Durvalumab  ...       2022-11-01  v2.1_2023_03_30   \n",
       "\n",
       "       prev_release diff_start_phase_12  diff_result_phase_12 diff_phase_123  \\\n",
       "25  v2.1_2023_03_30           20.838210             11.748359            NaN   \n",
       "26  v2.0_2022_03_24           15.584167             10.749023      14.666968   \n",
       "6   v2.1_2023_03_30           14.582093             10.083712      13.582757   \n",
       "12  v2.0_2022_03_24            8.813323              6.833816       4.911805   \n",
       "7   v2.0_2022_03_24           10.154897              6.669541       5.155479   \n",
       "\n",
       "    diff_phase_12 diff_phase_3 diff_start_phase_3 diff_result_phase_3  \n",
       "25       9.089851          NaN                NaT                 NaN  \n",
       "26       4.835144     4.347796          1923 days            0.917199  \n",
       "6        4.498381     4.805027          2120 days            0.999336  \n",
       "12       1.979507     2.976105          2512 days            3.901517  \n",
       "7        3.485356     3.488094          3100 days            4.999418  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_stats_years.sort_values('diff_result_phase_12', ascending=False).head(5)"
   ]
  },
  {
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   "execution_count": 31,
   "id": "f994222b-0892-4f4d-a873-0c57c8824e87",
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    {
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       "      <td>True</td>\n",
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       "      <td>lungenkarzinom</td>\n",
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       "      <td>2022-11-01</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>True</td>\n",
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       "      <td>2018-05-01</td>\n",
       "      <td>2015-05-11</td>\n",
       "      <td>2018-07-01</td>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13_oesophaguskarzinom_0160</td>\n",
       "      <td>Pembrolizumab</td>\n",
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       "      <td>2022-06-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
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       "      <td>6.250642</td>\n",
       "      <td>6.083629</td>\n",
       "      <td>3.140379</td>\n",
       "      <td>2578 days</td>\n",
       "      <td>3.917945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>True</td>\n",
       "      <td>2014-01-08</td>\n",
       "      <td>2016-01-01</td>\n",
       "      <td>2015-12-16</td>\n",
       "      <td>2018-12-07</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0381</td>\n",
       "      <td>Lorlatinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>8.813323</td>\n",
       "      <td>6.833816</td>\n",
       "      <td>4.911805</td>\n",
       "      <td>1.979507</td>\n",
       "      <td>2.976105</td>\n",
       "      <td>2512 days</td>\n",
       "      <td>3.901517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>True</td>\n",
       "      <td>2013-10-24</td>\n",
       "      <td>2016-07-01</td>\n",
       "      <td>2014-10-31</td>\n",
       "      <td>2019-10-22</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0335</td>\n",
       "      <td>Nivolumab + Ipilimumab über 2 Zyklen</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>9.021404</td>\n",
       "      <td>6.335517</td>\n",
       "      <td>5.993278</td>\n",
       "      <td>2.685887</td>\n",
       "      <td>4.974777</td>\n",
       "      <td>2923 days</td>\n",
       "      <td>3.028125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>True</td>\n",
       "      <td>2013-10-24</td>\n",
       "      <td>2018-10-01</td>\n",
       "      <td>2014-10-31</td>\n",
       "      <td>2019-10-22</td>\n",
       "      <td>oesophaguskarzinom</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>13_oesophaguskarzinom_0148</td>\n",
       "      <td>Nivolumab</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-06-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>8.602504</td>\n",
       "      <td>3.666057</td>\n",
       "      <td>5.993278</td>\n",
       "      <td>4.936446</td>\n",
       "      <td>4.974777</td>\n",
       "      <td>2770 days</td>\n",
       "      <td>2.609225</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    results_available start_phase_12 result_phase_12 start_phase_3  \\\n",
       "7                True     2012-09-05      2016-03-01    2014-05-07   \n",
       "22               True     2012-03-31      2018-05-01    2015-05-11   \n",
       "12               True     2014-01-08      2016-01-01    2015-12-16   \n",
       "9                True     2013-10-24      2016-07-01    2014-10-31   \n",
       "21               True     2013-10-24      2018-10-01    2014-10-31   \n",
       "\n",
       "   result_phase_3        guideline_id prev_version cur_version  \\\n",
       "7      2017-11-01      lungenkarzinom          1.0         2.0   \n",
       "22     2018-07-01  oesophaguskarzinom          3.0         3.1   \n",
       "12     2018-12-07      lungenkarzinom          1.0         2.0   \n",
       "9      2019-10-22      lungenkarzinom          1.0         2.0   \n",
       "21     2019-10-22  oesophaguskarzinom          3.0         3.1   \n",
       "\n",
       "                      document                                  text  ...  \\\n",
       "7       03_lungenkarzinom_0284                            Durvalumab  ...   \n",
       "22  13_oesophaguskarzinom_0160                         Pembrolizumab  ...   \n",
       "12      03_lungenkarzinom_0381                            Lorlatinib  ...   \n",
       "9       03_lungenkarzinom_0335  Nivolumab + Ipilimumab über 2 Zyklen  ...   \n",
       "21  13_oesophaguskarzinom_0148                             Nivolumab  ...   \n",
       "\n",
       "   cur_release_date      cur_release     prev_release diff_start_phase_12  \\\n",
       "7        2022-11-01  v2.1_2023_03_30  v2.0_2022_03_24           10.154897   \n",
       "22       2022-06-01  v2.1_2023_03_30  v2.0_2022_03_24           10.168587   \n",
       "12       2022-11-01  v2.1_2023_03_30  v2.0_2022_03_24            8.813323   \n",
       "9        2022-11-01  v2.1_2023_03_30  v2.0_2022_03_24            9.021404   \n",
       "21       2022-06-01  v2.1_2023_03_30  v2.0_2022_03_24            8.602504   \n",
       "\n",
       "    diff_result_phase_12 diff_phase_123  diff_phase_12 diff_phase_3  \\\n",
       "7               6.669541       5.155479       3.485356     3.488094   \n",
       "22              4.084957       6.250642       6.083629     3.140379   \n",
       "12              6.833816       4.911805       1.979507     2.976105   \n",
       "9               6.335517       5.993278       2.685887     4.974777   \n",
       "21              3.666057       5.993278       4.936446     4.974777   \n",
       "\n",
       "   diff_start_phase_3 diff_result_phase_3  \n",
       "7           3100 days            4.999418  \n",
       "22          2578 days            3.917945  \n",
       "12          2512 days            3.901517  \n",
       "9           2923 days            3.028125  \n",
       "21          2770 days            2.609225  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_stats_years.sort_values('diff_result_phase_3', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "991cbe67-a69e-49d4-80a9-00adf933ae9e",
   "metadata": {
    "tags": []
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   "outputs": [
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       "      <th>results_available</th>\n",
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       "      <th>diff_result_phase_3</th>\n",
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       "      <th>14</th>\n",
       "      <td>True</td>\n",
       "      <td>2017-03-07</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>None</td>\n",
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       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0402</td>\n",
       "      <td>Repotrectinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
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       "      <td>2491 days</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>True</td>\n",
       "      <td>2015-11-19</td>\n",
       "      <td>2022-10-01</td>\n",
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       "      <td>None</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0399</td>\n",
       "      <td>Entrectinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2539 days</td>\n",
       "      <td>31 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>2508 days</td>\n",
       "      <td>NaT</td>\n",
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       "      <td>None</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0408</td>\n",
       "      <td>Larotrectinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>1901 days</td>\n",
       "      <td>396 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>1505 days</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
       "      <td>NaT</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>True</td>\n",
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       "      <td>2021-10-01</td>\n",
       "      <td>2020-09-30</td>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0370</td>\n",
       "      <td>Amivantamab</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2352 days</td>\n",
       "      <td>396 days</td>\n",
       "      <td>2717 days</td>\n",
       "      <td>1956 days</td>\n",
       "      <td>1127 days</td>\n",
       "      <td>762 days</td>\n",
       "      <td>-365 days</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>True</td>\n",
       "      <td>2017-03-17</td>\n",
       "      <td>2021-07-01</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0411</td>\n",
       "      <td>Pralsetinib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2055 days</td>\n",
       "      <td>488 days</td>\n",
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       "      <td>NaT</td>\n",
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      "text/plain": [
       "    results_available start_phase_12 result_phase_12 start_phase_3  \\\n",
       "14               True     2017-03-07      2024-01-01          None   \n",
       "13               True     2015-11-19      2022-10-01          None   \n",
       "15               True     2017-08-18      2021-10-01          None   \n",
       "11               True     2016-05-24      2021-10-01    2020-09-30   \n",
       "17               True     2017-03-17      2021-07-01          None   \n",
       "\n",
       "   result_phase_3    guideline_id prev_version cur_version  \\\n",
       "14           None  lungenkarzinom          1.0         2.0   \n",
       "13           None  lungenkarzinom          1.0         2.0   \n",
       "15           None  lungenkarzinom          1.0         2.0   \n",
       "11     2023-11-01  lungenkarzinom          1.0         2.0   \n",
       "17           None  lungenkarzinom          1.0         2.0   \n",
       "\n",
       "                  document           text  ... cur_release_date  \\\n",
       "14  03_lungenkarzinom_0402  Repotrectinib  ...       2022-11-01   \n",
       "13  03_lungenkarzinom_0399    Entrectinib  ...       2022-11-01   \n",
       "15  03_lungenkarzinom_0408  Larotrectinib  ...       2022-11-01   \n",
       "11  03_lungenkarzinom_0370    Amivantamab  ...       2022-11-01   \n",
       "17  03_lungenkarzinom_0411    Pralsetinib  ...       2022-11-01   \n",
       "\n",
       "        cur_release     prev_release diff_start_phase_12  \\\n",
       "14  v2.1_2023_03_30  v2.0_2022_03_24           2065 days   \n",
       "13  v2.1_2023_03_30  v2.0_2022_03_24           2539 days   \n",
       "15  v2.1_2023_03_30  v2.0_2022_03_24           1901 days   \n",
       "11  v2.1_2023_03_30  v2.0_2022_03_24           2352 days   \n",
       "17  v2.1_2023_03_30  v2.0_2022_03_24           2055 days   \n",
       "\n",
       "    diff_result_phase_12 diff_phase_123  diff_phase_12 diff_phase_3  \\\n",
       "14             -426 days            NaT      2491 days          NaT   \n",
       "13               31 days            NaT      2508 days          NaT   \n",
       "15              396 days            NaT      1505 days          NaT   \n",
       "11              396 days      2717 days      1956 days    1127 days   \n",
       "17              488 days            NaT      1567 days          NaT   \n",
       "\n",
       "   diff_start_phase_3 diff_result_phase_3  \n",
       "14                NaT                 NaT  \n",
       "13                NaT                 NaT  \n",
       "15                NaT                 NaT  \n",
       "11           762 days           -365 days  \n",
       "17                NaT                 NaT  \n",
       "\n",
       "[5 rows x 29 columns]"
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     "execution_count": 32,
     "metadata": {},
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    "diff_stats_res.sort_values('diff_result_phase_12', ascending=True).head(5)"
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   "id": "3293dba3-d4b5-4443-b9a1-526f08e0a8c7",
   "metadata": {
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   "outputs": [
    {
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       "      <td>lungenkarzinom</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0411</td>\n",
       "      <td>Selpercatinib</td>\n",
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       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2009 days</td>\n",
       "      <td>822 days</td>\n",
       "      <td>2374 days</td>\n",
       "      <td>1187 days</td>\n",
       "      <td>1353 days</td>\n",
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       "      <td>2023-06-01</td>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0273</td>\n",
       "      <td>Dostarlimab</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2369 days</td>\n",
       "      <td>669 days</td>\n",
       "      <td>2642 days</td>\n",
       "      <td>1700 days</td>\n",
       "      <td>1414 days</td>\n",
       "      <td>1141 days</td>\n",
       "      <td>-273 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>True</td>\n",
       "      <td>2018-08-27</td>\n",
       "      <td>2020-09-01</td>\n",
       "      <td>2020-06-04</td>\n",
       "      <td>2023-03-01</td>\n",
       "      <td>lungenkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>03_lungenkarzinom_0417</td>\n",
       "      <td>Sotorasib</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-11-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>1527 days</td>\n",
       "      <td>791 days</td>\n",
       "      <td>1647 days</td>\n",
       "      <td>736 days</td>\n",
       "      <td>1000 days</td>\n",
       "      <td>880 days</td>\n",
       "      <td>-120 days</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>True</td>\n",
       "      <td>2014-07-17</td>\n",
       "      <td>2019-05-01</td>\n",
       "      <td>2018-06-11</td>\n",
       "      <td>2021-11-17</td>\n",
       "      <td>endometriumkarzinom</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15_endometriumkarzinom_0273</td>\n",
       "      <td>Pembrolizumab</td>\n",
       "      <td>...</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>v2.1_2023_03_30</td>\n",
       "      <td>v2.0_2022_03_24</td>\n",
       "      <td>2968 days</td>\n",
       "      <td>1219 days</td>\n",
       "      <td>2680 days</td>\n",
       "      <td>1749 days</td>\n",
       "      <td>1255 days</td>\n",
       "      <td>1543 days</td>\n",
       "      <td>288 days</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    results_available start_phase_12 result_phase_12 start_phase_3  \\\n",
       "11               True     2016-05-24      2021-10-01    2020-09-30   \n",
       "16               True     2017-05-02      2020-08-01    2020-02-17   \n",
       "1                True     2016-03-07      2020-11-01    2019-07-18   \n",
       "19               True     2018-08-27      2020-09-01    2020-06-04   \n",
       "2                True     2014-07-17      2019-05-01    2018-06-11   \n",
       "\n",
       "   result_phase_3         guideline_id prev_version cur_version  \\\n",
       "11     2023-11-01       lungenkarzinom          1.0         2.0   \n",
       "16     2023-11-01       lungenkarzinom          1.0         2.0   \n",
       "1      2023-06-01  endometriumkarzinom          1.0         2.0   \n",
       "19     2023-03-01       lungenkarzinom          1.0         2.0   \n",
       "2      2021-11-17  endometriumkarzinom          1.0         2.0   \n",
       "\n",
       "                       document           text  ... cur_release_date  \\\n",
       "11       03_lungenkarzinom_0370    Amivantamab  ...       2022-11-01   \n",
       "16       03_lungenkarzinom_0411  Selpercatinib  ...       2022-11-01   \n",
       "1   15_endometriumkarzinom_0273    Dostarlimab  ...       2022-09-01   \n",
       "19       03_lungenkarzinom_0417      Sotorasib  ...       2022-11-01   \n",
       "2   15_endometriumkarzinom_0273  Pembrolizumab  ...       2022-09-01   \n",
       "\n",
       "        cur_release     prev_release diff_start_phase_12  \\\n",
       "11  v2.1_2023_03_30  v2.0_2022_03_24           2352 days   \n",
       "16  v2.1_2023_03_30  v2.0_2022_03_24           2009 days   \n",
       "1   v2.1_2023_03_30  v2.0_2022_03_24           2369 days   \n",
       "19  v2.1_2023_03_30  v2.0_2022_03_24           1527 days   \n",
       "2   v2.1_2023_03_30  v2.0_2022_03_24           2968 days   \n",
       "\n",
       "    diff_result_phase_12 diff_phase_123  diff_phase_12 diff_phase_3  \\\n",
       "11              396 days      2717 days      1956 days    1127 days   \n",
       "16              822 days      2374 days      1187 days    1353 days   \n",
       "1               669 days      2642 days      1700 days    1414 days   \n",
       "19              791 days      1647 days       736 days    1000 days   \n",
       "2              1219 days      2680 days      1749 days    1255 days   \n",
       "\n",
       "   diff_start_phase_3 diff_result_phase_3  \n",
       "11           762 days           -365 days  \n",
       "16           988 days           -365 days  \n",
       "1           1141 days           -273 days  \n",
       "19           880 days           -120 days  \n",
       "2           1543 days            288 days  \n",
       "\n",
       "[5 rows x 29 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_stats_res.sort_values('diff_result_phase_3', ascending=True).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "69f092d5-50f2-46f6-a836-1baa3f69f781",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "examples = [\n",
    "    ('C0019139', 'pankreaskarzinom', '1999-11-01'), # niedermolekularen Heparin, Pankreas -> long time phase II trial, long time until inclusion\n",
    "    ('C4055109', 'lungenkarzinom', None), # Durvalumab, Lungenkarznom -> long time until inclusion in guideline\n",
    "    ('C5446297', 'lungenkarzinom', '2013-01-01'), # Amivantamab, Lungenkarzinom -> negative time, included phase on phase I trial\n",
    "    ('C4524909', 'lungenkarzinom', '2014-05-01'), # Repotrectinib -> negative time, included\n",
    "    ('C5418250', 'pankreaskarzinom', None), # Sotorasib\n",
    "    ('C1367202', 'oesophaguskarzinom', None), # Ipilimumab    \n",
    "    #('C2316164', 'prostatakarzinom', None), # Olaparib  \n",
    "    #('C4055109', 'hepatozellulaeres-karzinom-und-biliaere-karzinome'), # Durvalumab\n",
    "    #('C2351038', 'lungenkarzinom'), # Tremelimumab\n",
    "    #('C1881411', 'pankreaskarzinom') # Liposomal Irinotecan / NALIRIFOX\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "53881397-fd0f-4e5b-81ca-1305346cf8d0",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from api.app import get_topics, get_meta\n",
    "topics = get_topics(session)\n",
    "meta = get_meta(session)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7a93a57d-238b-4409-aa1e-579f1d1155bf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C0019139 Low Molecular Weight Heparin pankreaskarzinom\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C4055109 Durvalumab lungenkarzinom\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1740 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C5446297 Amivantamab lungenkarzinom\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x210 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C4524909 Repotrectinib lungenkarzinom\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x150 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C5418250 Sotorasib pankreaskarzinom\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x150 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C1367202 Ipilimumab oesophaguskarzinom\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from api.utils import get_previous_guideline_versions\n",
    "from api.viz.timelines import create_timeline_figure\n",
    "from api.app import EvidenceQuery, get_evidence_by_population, get_evidence_grouped_df, get_topics\n",
    "from datetime import datetime\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "for e in examples:\n",
    "    cui, guideline, min_date = e\n",
    "    intv_name = app.state.concept_parser.umls_parser.get_umls_text(cui)\n",
    "    print(cui, intv_name, guideline)\n",
    "    \n",
    "    q = EvidenceQuery(guideline_id=guideline, \n",
    "                  cuis_intervention=[cui],\n",
    "                  sources=['pubmed', 'clinicaltrials'],\n",
    "                  exclude_children=True)\n",
    "    \n",
    "    if min_date:\n",
    "        min_date = datetime.strptime(min_date, \"%Y-%m-%d\")\n",
    "    evidence_grouped_df = get_evidence_grouped_df(q, False, session)\n",
    "    evidence_grouped_df = evidence_grouped_df[evidence_grouped_df.group.astype(str).str.startswith(\"NCT\")]\n",
    "    \n",
    "    versions = get_previous_guideline_versions(\n",
    "        app.state.topic_config, guideline, 'v2.3_2024_06_18', include_non_ggponc_versions=True)\n",
    "    \n",
    "    names = {t.topic_id : t.topic_en for t in topics.topics}\n",
    "\n",
    "    fig = create_timeline_figure(\n",
    "        evidence_grouped_df, versions=versions,\n",
    "        intervention_name=intv_name,\n",
    "        population_name=names[guideline], \n",
    "        min_date=min_date\n",
    "    )\n",
    "    plt.savefig(f'output/{guideline}_{intv_name.replace(\" \", \"_\").lower()}', bbox_inches='tight', dpi=600)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12d26c19-e624-45a2-a76d-4c642d4efa34",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:nge]",
   "language": "python",
   "name": "conda-env-nge-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}