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dc.rights.licenseopenen_US
dc.contributor.authorFUSAROLI, Michele
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorSALVO, Francesco
IDREF: 221043470
dc.contributor.authorBERNARDEAU, Claire
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorIDRIS, Maryam
dc.contributor.authorDOLLADILLE, Charles
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorPARIENTE, Antoine
IDREF: 13395711X
dc.contributor.authorPOLUZZI, Elisabetta
dc.contributor.authorRASCHI, Emanuel
dc.contributor.authorKHOURI, Charles
dc.date.accessioned2023-11-06T16:57:45Z
dc.date.available2023-11-06T16:57:45Z
dc.date.issued2023-09-01
dc.identifier.issn1179-1942en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/184646
dc.description.abstractEnDisproportionality analysis is traditionally used in spontaneous reporting systems to generate working hypotheses about potential adverse drug reactions: the so-called disproportionality signals. We aim to map the methods used by researchers to assess and increase the validity of their published disproportionality signals. From a systematic literature search of published disproportionality analyses up until 1 January 2020, we randomly selected and analyzed 100 studies. We considered five domains: (1) rationale for the study, (2) design of disproportionality analyses, (3) case-by-case assessment, (4) use of complementary data sources, and (5) contextualization of the results within existing evidence. Among the articles, multiple strategies were adopted to assess and enhance the results validity. The rationale, in 95 articles, was explicitly referred to the accrued evidence, mostly observational data (n = 46) and regulatory documents (n = 45). A statistical adjustment was performed in 34 studies, and specific strategies to correct for biases were implemented in 33 studies. A case-by-case assessment was complementarily performed in 35 studies, most often by investigating temporal plausibility (n = 26). Complementary data sources were used in 25 articles. In 78 articles, results were contextualized using accrued evidence from the literature and regulatory documents, the most important sources being observational (n = 45), other disproportionalities (n = 37), and case reports (n = 36). This meta-research study highlighted the heterogeneity in methods and strategies used by researchers to assess the validity of disproportionality signals. Mapping these strategies is a first step towards testing their utility in different scenarios and developing guidelines for designing future disproportionality analysis.
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/us/*
dc.subject.enHumans
dc.subject.enAdverse Drug Reaction Reporting Systems
dc.subject.enDrug-Related Side Effects and Adverse Reactions
dc.title.enMapping Strategies to Assess and Increase the Validity of Published Disproportionality Signals: A Meta-Research Study
dc.title.alternativeDrug Safen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s40264-023-01329-wen_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed37421568en_US
bordeaux.journalDrug Safetyen_US
bordeaux.page857-866en_US
bordeaux.volume46en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue9en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamAHEADen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcepubmed
hal.identifierhal-04272683
hal.version1
hal.date.transferred2023-11-06T16:57:47Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcepubmed
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Drug%20Safety&rft.date=2023-09-01&rft.volume=46&rft.issue=9&rft.spage=857-866&rft.epage=857-866&rft.eissn=1179-1942&rft.issn=1179-1942&rft.au=FUSAROLI,%20Michele&SALVO,%20Francesco&BERNARDEAU,%20Claire&IDRIS,%20Maryam&DOLLADILLE,%20Charles&rft.genre=article


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