Evidence map›Paper›PMID 38713347›Full record

ArticleDrug safety2024

The REporting of A Disproportionality Analysis for DrUg Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Explanation and Elaboration.

Michele Fusaroli, Francesco Salvo, Bernard Begaud, Thamir M AlShammari, Andrew Bate, Vera Battini, Andreas Brueckner, Gianmario Candore, Carla Carnovale, Salvatore Crisafulli and 24 more

Abstract read
In one paragraph

Article in Drug safety, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed, 3 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

223 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Review
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  11. Disproportionality analysis to investigate fatal adverse events with immune checkpoint inhibitors: Proceed with extreme caution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  12. Reply to Revol et al.: Interpreting fatality-reporting signals in checkpoint immunotherapy.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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163 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

34 authors.

Michele FusaroliDepartment of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy. michele.fusaroli2@unibo.it.ORCID http://orcid.org/0000-0002-0254-2212
Francesco SalvoUniversité de Bordeaux, INSERM, BPH, Team AHeaD, U1219, 33000, Bordeaux, France. francesco.salvo@u-bordeaux.fr.
Bernard BegaudUniversité de Bordeaux, INSERM, BPH, Team AHeaD, U1219, 33000, Bordeaux, France.
Thamir M AlShammariCollege of Pharmacy, Almaarefa University, Riyadh, Saudi Arabia.
Andrew BateGlobal Safety, GSK, Brentford, UK.
Vera BattiniPharmacovigilance and Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, Milan, Italy.
Andreas BruecknerNovartis Pharma AG, Basel, Switzerland.
Gianmario CandoreMedical Affairs and Pharmacovigilance, Bayer AG, Berlin, Germany.
Carla CarnovalePharmacovigilance and Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università degli Studi di Milano, Milan, Italy.
Salvatore CrisafulliDepartment of Medicine, University of Verona, Verona, Italy.
Paola Maria CutroneoUnit of Clinical Pharmacology, Sicily Pharmacovigilance Regional Centre, University Hospital of Messina, Messina, Italy.
Charles DolladilleUNICAEN, EA4650 SEILIRM, CHU de Caen Normandie, Normandie University, Caen, France.
Milou-Daniel DriciDepartment of Clinical Pharmacology, Université Côte d'Azur Medical Center, Nice, France.
Jean-Luc FaillieDesbrest Institute of Epidemiology and Public Health, Department of Medical Pharmacology and Toxicology, INSERM, Univ Montpellier, Regional Pharmacovigilance Centre, CHU Montpellier, Montpellier, France.
Adam GoldmanDepartment of Internal Medicine, Sheba Medical Center, Ramat-Gan, Israel.
Manfred HaubenPfizer Inc, New York, NY, USA.
Maria Teresa HerdeiroDepartment of Medical Sciences, IBIMED-Institute of Biomedicine, University of Aveiro, 3810-193, Aveiro, Portugal.
Olivia MahauxGlobal Safety, GSK, Brentford, UK.
Katrin ManlikMedical Affairs and Pharmacovigilance, Bayer AG, Berlin, Germany.
François MontastrucDepartment of Medical and Clinical Pharmacology, Centre of PharmacoVigilance and Pharmacoepidemiology, Faculty of Medicine, Toulouse University Hospital (CHU), Toulouse, France.
Yoshihiro NoguchiLaboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan.
G Niklas NorénUppsala Monitoring Centre, Uppsala, Sweden.
Roberta NosedaInstitute of Pharmacological Sciences of Southern Switzerland, Division of Clinical Pharmacology and Toxicology, Ente Ospedaliero Cantonale, Lugano, Switzerland.
Igho J OnakpoyaDepartment for Continuing Education, University of Oxford, Oxford, UK.
Antoine ParienteUniversité de Bordeaux, INSERM, BPH, Team AHeaD, U1219, 33000, Bordeaux, France.
Elisabetta PoluzziDepartment of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Myriam SalemHealth Canada, Ottawa, ON, Canada.
Daniele SartoriUppsala Monitoring Centre, Uppsala, Sweden.
Nhung T H TrinhPharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway.
Marco TuccoriTuscany Regional Centre, Unit of Adverse Drug Reaction Monitoring, University Hospital of Pisa, Pisa, Italy.
Florence van HunselNetherlands Pharmacovigilance Centre Lareb, 's-Hertogenbosch, The Netherlands.
Eugène van PuijenbroekNetherlands Pharmacovigilance Centre Lareb, 's-Hertogenbosch, The Netherlands.
Emanuel RaschiDepartment of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Charles KhouriPharmacovigilance Department, Université Grenoble Alpes, Grenoble Alpes University Hospital, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In pharmacovigilance, disproportionality analyses based on individual case safety reports are widely used to detect safety signals. Unfortunately, publishing disproportionality analyses lacks specific guidelines, often leading to incomplete and ambiguous reporting, and carries the risk of incorrect conclusions when data are not placed in the correct context. The REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance (READUS-PV) statement was developed to address this issue by promoting transparent and comprehensive reporting of disproportionality studies. While the statement paper explains in greater detail the procedure followed to develop these guidelines, with this explanation paper we present the 14 items retained for READUS-PV guidelines, together with an in-depth explanation of their rationale and bullet points to illustrate their practical implementation. Our primary objective is to foster the adoption of the READUS-PV guidelines among authors, editors, peer reviewers, and readers of disproportionality analyses. Enhancing transparency, completeness, and accuracy of reporting, as well as proper interpretation of their results, READUS-PV guidelines will ultimately facilitate evidence-based decision making in pharmacovigilance.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceGuidelines as TopicHumans

Identifiers

PMID38713347
PMCPMC11116264

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.