Evidence map›Paper›PMID 42359102›Full record

ArticleFrontiers in drug safety and regulation2026

Methodological comparisons for benefit-risk assessment in complex decision-making: applications and insights from a case study.

Jian-Yu E, Kexin Zhu, Stéphanie Tcherny-Lessenot, Juhaeri Juhaeri

Abstract read
In one paragraph

Article in Frontiers in drug safety and regulation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jian-Yu EEpidemiology and Benefit-Risk, Sanofi, Cambridge, MA, United States.
Kexin ZhuEpidemiology and Benefit-Risk, Sanofi, Morristown, NJ, United States.
Stéphanie Tcherny-LessenotEpidemiology and Benefit-Risk, Sanofi, Gentilly, France.
Juhaeri JuhaeriEpidemiology and Benefit-Risk, Sanofi, Morristown, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Benefit-risk assessment (BRA) can be challenging when integrating benefits, risks, and their relative importance as perceived by physicians or patients. This study aimed to compare eight BRA methodologies though the application and sights from a case study. Methods: Eight BRA methodologies were evaluated using data from European Public Assessment Reports, randomized controlled trials, and published literature on rimonabant, including two descriptive frameworks, two quantitative frameworks, and four metrics and estimation techniques. Results: Descriptive frameworks provided transparent, systematic approaches for structuring BRA and compared alternatives in a series of criteria assessment but lacked quantitative elements and stakeholder weighting. Quantitative frameworks extended these descriptive models by integrating objective data with subjective preferences, enabling the calculation of utility scores or acceptability indexes. Metrics enabled comparison of individual benefit and risk criteria, offering straightforward numerical evaluations. Conclusion: A combination of descriptive and quantitative frameworks allows for a comprehensive BRA, accommodating multiple criteria, stakeholder's preferences, and uncertainties.

Indexed as

benefit-risk evaluationcase studyMCDAqualitative analysisquantitative analysisSMAA

Identifiers

PMID42359102
PMCPMC13290793

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.