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dc.rights.licenseopenen_US
dc.contributor.authorLAMBERT, Jerome
dc.contributor.authorLENGLINE, Etienne
dc.contributor.authorPORCHER, Raphael
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIEBAUT, Rodolphe
dc.contributor.authorZOHAR, Sarah
dc.contributor.authorCHEVRET, Sylvie
dc.date.accessioned2023-03-10T11:09:24Z
dc.date.available2023-03-10T11:09:24Z
dc.date.issued2022-12-19
dc.identifier.issn2473-9529en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/172250
dc.description.abstractEnFor the past decade, it has become commonplace to provide rapid answers and early patient access to innovative treatments in the absence of randomized clinical trials (RCT), with benefits estimated from single-arm trials. This trend is important in oncology, notably when assessing new targeted therapies. Some of those uncontrolled trials further include an external/synthetic control group as an innovative way to provide an indirect comparison to a pertinent control group. We aimed to provide some guidelines as a comprehensive tool for critical appraisal of those comparisons or for performing one. We used the example of ciltacabtagene autoleucel for the treatment of adult patients with relapsed or refractory multiple myeloma after three or more treatment lines as an illustrative example. A 3-step guidance is proposed. The first step includes the definition of an estimand, which encompasses the treatment effect and targeted population (whole population or restricted to single-arm trial or external controls), reflecting a clinical question. The second step relies on the adequate selection of external controls from previous RCTs or real-world data from patient cohorts, registries, or electronic patient files. The third step consists of choosing the statistical approach targeting the treatment effect defined above, and depends on the available data (individual-level data or aggregated external data). The validity of the treatment effect derived from indirect comparisons heavily depends on careful methodological considerations included in the proposed 3-step procedure. Because the level of evidence of a well-conducted RCT cannot be guaranteed, the evaluation is more important than in standard settings.
dc.language.isoENen_US
dc.subject.enSingle-arm trials
dc.subject.enExternal controls
dc.subject.enModern statistics
dc.title.enEnriching single-arm clinical trials with external controls: possibilities and pitfalls
dc.typeArticle de revueen_US
dc.identifier.doi10.1182/bloodadvances.2022009167en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed36534147en_US
bordeaux.journalBlood Advancesen_US
bordeaux.pagebloodadvances.2022009167en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamSISTM_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Blood%20Advances&rft.date=2022-12-19&rft.spage=bloodadvances.2022009167&rft.epage=bloodadvances.2022009167&rft.eissn=2473-9529&rft.issn=2473-9529&rft.au=LAMBERT,%20Jerome&LENGLINE,%20Etienne&PORCHER,%20Raphael&THIEBAUT,%20Rodolphe&ZOHAR,%20Sarah&rft.genre=article


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