Evidence map›Paper›PMID 37014400›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2023

Critical analysis of the prescription and evaluation of protein kinase inhibitors for oncology in Germany.

Caecilia S Obst, Roland Seifert

Open access · hybridAbstract read
In one paragraph

Article in Naunyn-Schmiedeberg's archives of pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. New drugs and their performance 10 years after approval: a systematic analysis.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Caecilia S ObstInstitute of Pharmacology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Roland SeifertInstitute of Pharmacology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany. seifert.roland@mh-hannover.de.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prices of oncology drugs have been rising progressively in recent years. Despite accounting for only a small share of prescriptions, oncology drugs are the most expensive drugs on the market. However, the association between drug price and clinical benefit often remains questionable. Therefore, we set out to analyze the development of prescription and benefit assessment of protein kinase inhibitors. We identified 20 protein kinase inhibitors with oncological indications that were newly approved by the European Medicines Agency (EMA) between 2015 and 2019, based on the Arzneiverordnungsreport (AVR, Drug Prescription Report). For these 20 drugs, the number of prescriptions, sales, defined daily dose (DDD), and DDD costs were identified for the year of approval and for 2020, respectively, based on data from the Wissenschaftliches Institut der Ortskrankenkassen (WIdO, Scientific Institute of the General Local Health Insurance Fund, AOK). Moreover, the additional benefit assessments by the Gemeinsamer Bundesausschuss (GBA, Federal Joint Committee) were considered for each drug. It is shown that the share of a drug in prescriptions, sales, and DDD does not correlate with the clinical benefit of the drug as measured by the additional benefit assessment by the GBA. Lastly, the advertisement pattern of protein kinase inhibitors in a representative oncology journal does not correlate with drug benefit. In conclusion, the immense costs of oncology drugs are therefore largely caused by drugs for which no additional benefit has been proven by the GBA. In order to ensure the long-term stability of health care systems, price-regulation measures are urgently needed, especially for drugs whose additional benefit has not been proven.

Indexed as

PrescriptionsProtein Kinase InhibitorsGermanyProtein Kinase InhibitorsAVREarly benefit assessmentHealth economicsOncologyPharmaceutical costsTargeted therapeutics

Identifiers

PMID37014400
PMCPMC10497443
OpenAlexW4362521464

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.