Evidence map›Paper›PMID 21842615›Full record

ReviewDialogues in clinical neuroscience2011

Assessing the benefit: risk ratio of a drug--randomized and naturalistic evidence.

François Curtin, Pierre Schulz

Abstract readReview
In one paragraph

Review in Dialogues in clinical neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
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  13. Review
  14. Article
  15. Medication Risk Management.Innovations in pharmacy · 2019
    Article
  16. Observational
  17. Observational
  18. Article
  19. Dilemmas of the causality assessment tools in the diagnosis of adverse drug reactions.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2016
    Review
  20. Integration of PKPD relationships into benefit-risk analysis.British journal of clinical pharmacology · 2015
    Review
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.

François CurtinGeNeuro SA, Plan les Ouates, Switzerland. francois.curtin@geneuro.com
Pierre Schulz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomized evidence from clinical trials and naturalistic evidence collected from pharmacoepidemiology and pharmacovigilance activities both contribute to the initial and continuous assessment of the benefits and risks of a drug, ie, the balance between therapeutic efficacy and safety risks. Benefit-risk assessment (BRA) mainly relies on a qualitative assessment of quantitative data. Current attempts to quantify BRA are reviewed and discussed, along with the expectations of regulatory authorities such as the Food and Drug Administration and the European Medicines Agency. No method provides a fully satisfactory solution regarding BRA, because it is difficult to reduce its multidimensional aspect to simple metrics, in a context where other therapeutic alternatives play a role. Consistency and transparency are key in this assessment, which is performed throughout the whole drug life cycle. BRA is mainly based on randomized clinical studies during clinical development, and it is continued and consolidated by naturalistic data once the drug is on the market.

Indexed as

Odds RatioRandomized Controlled Trials as TopicRisk AssessmentHumansPharmacoepidemiologyResearch Design

Identifiers

PMID21842615
PMCPMC3181998

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.