Evidence map›Paper›PMID 24357107›Full record

ReviewDrug safety2014

Post-approval evaluation of effectiveness of risk minimisation: methods, challenges and interpretation.

Anjan Kumar Banerjee, Inge M Zomerdijk, Stella Wooder, Simon Ingate, Stephen J Mayall

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drug safety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Article
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  9. Review
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  16. Observational
  17. Article
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  19. Review
  20. Observational
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

5 authors.

Anjan Kumar BanerjeePope Woodhead & Associates, The Old Grammar School, 1 Ramsay Road, St Ives, Cambs, PE27 5BZ, UK, swapu.banerjee@popewoodhead.com.
Inge M Zomerdijk
Stella Wooder
Simon Ingate
Stephen J Mayall

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation of the effectiveness of drug risk-minimisation measures is mandatory for both risk evaluation and mitigation strategies (REMS) in the United States and risk management plans in the European Union (EU-RMPs). Such evaluations aim to assess the impact of risk-minimisation measures on the knowledge, attitudes or behaviours of healthcare professionals or patients, the incidence of safety concerns, and their impact on the overall benefit-risk balance. Although many effectiveness evaluation models and methods are available, regulatory guidance and policy are still evolving. This paper considers evaluation strategies, challenges in evaluating risk minimisation post-authorisation, possible outcome measures and their interpretation, and potential emerging regulatory policy issues. Particular challenges include appropriate data collection, perceived and real burdens of performing evaluation on clinical practice, lack of comparators and benchmarking, and uncertainty about the best outcome measures.

Indexed as

BenchmarkingData CollectionDrug ApprovalEuropean UnionHealth Knowledge, Attitudes, PracticeHumansOutcome Assessment, Health CarePharmacovigilanceRisk AssessmentRisk ManagementUnited States

Identifiers

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.