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Étude multicentrique de précision diagnostique×Étude méta-analytique de la précision diagnostique×
DomaineÉpidémiologieÉpidémiologie
FamilleProcess / pipelineProcess / pipeline
Année d'origine2003 (STARD statement first published; updated 2015)1993–2005 (foundational models)
Auteur d'origineSTARD Group (Bossuyt, Reitsma et al.)Moses, Shapiro & Littenberg (SROC framework, 1993); Reitsma et al. (bivariate model, 2005)
TypeObservational diagnostic study designQuantitative systematic synthesis
Source fondatriceBossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L., Lijmer, J. G., Moher, D., Rennie, D., de Vet, H. C. W., Kressel, H. Y., Rifai, N., Golub, R. M., Altman, D. G., Hooft, L., Korevaar, D. A., & Cohen, J. F. (2015). STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies. BMJ, 351, h5527. DOI ↗Reitsma, J. B., Glas, A. S., Rutjes, A. W., Scholten, R. J., Bossuyt, P. M., & Zwinderman, A. H. (2005). Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. Journal of Clinical Epidemiology, 58(10), 982–990. DOI ↗
Aliasmultisite diagnostic accuracy study, multicenter DTA study, multicenter index test evaluation, STARD multicenter studyDTA meta-analysis, diagnostic meta-analysis, systematic review of diagnostic accuracy, pooled diagnostic accuracy
Apparentées52
RésuméA multicenter diagnostic accuracy study evaluates how well an index test (e.g., a biomarker, imaging modality, or clinical prediction rule) identifies a target condition when conducted across two or more independent clinical sites. By recruiting patients from diverse settings, it produces estimates of sensitivity, specificity, and likelihood ratios that are more externally valid than those obtained from a single center, and it enables explicit assessment of how test performance varies across sites, patient populations, and operator skill levels.A meta-analytic diagnostic accuracy study systematically identifies and pools sensitivity and specificity data from multiple primary diagnostic test accuracy studies. Using the bivariate or hierarchical summary ROC (HSROC) model, it produces a joint summary of a test's ability to correctly classify diseased and non-diseased individuals across diverse clinical settings, accounting for the inherent trade-off between sensitivity and specificity.
ScholarGateJeu de données
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  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Multicenter Diagnostic Accuracy Study · Meta-analytic Diagnostic Accuracy Study. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare