Evidence map›Paper›PMID 22427788›Full record

ArticleDeutsches Arzteblatt international2012

New drugs: evidence relating to their therapeutic value after introduction to the market.

Mariam Ujeyl, Claudia Schlegel, Siegbert Walter, Ursula Gundert-Remy

Open access · greenAbstract read
In one paragraph

Article in Deutsches Arzteblatt international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
10.2field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Data informs debate.Australian prescriber · 2015
    Article
  3. Early benefit assessment (EBA) in Germany: analysing decisions 18 months after introducing the new AMNOG legislation.The European journal of health economics : HEPAC : health economics in prevention and care · 2014
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Mariam UjeylDrug Commission of the German Medical Association, Berlin.
Claudia Schlegel
Siegbert Walter
Ursula Gundert-Remy
Arzneimittelkommission der deutschen Ärzteschaft

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug approval is based on three criteria: quality, efficacy, and safety. We investigated the types of study design and statistical methods employed to demonstrate safety and efficacy of proprietary medicinal products (PMPs) that were approved for use in the European Union through the centralized procedure.

methodsWe retrospectively analyzed the European Public Assessment Reports of PMPs that the European Medicinal Agency approved, either initially or for extended indications, in 2009 and 2010.

resultsData were analyzed for 39 PMPs: 64% of these were new active substances, and 36% were approved for extended indications. 46% of the PMPs had been studied in an active-control trial. In only 28%, superiority of the new PMPs compared to active control had been tested. 46% of the approvals included testing of a patient-relevant primary endpoint. The median size of population used to demonstrate safety was 1700 persons.

conclusionThe centralized procedure does not require comparative information from active-control trials. Accordingly, as our descriptive analysis revealed, this information is often not available at the time of market introduction. Pivotal studies only rarely clearly demonstrate an added therapeutic value of a new PMP compared to existing alternatives.

Indexed as

Drug EvaluationDrug TherapyEuropean UnionEvidence-Based MedicineMarketingOutcome Assessment, Health CareProduct Surveillance, Postmarketing

Identifiers

PMID22427788
PMCPMC3301972
OpenAlexW1741190347

What OpenQuestion holds

Textmetadata
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.