Comparer des méthodes

	Évaluation des tests et programmes de dépistage	Conception d'une étude de précision diagnostique
Domaine	Épidémiologie	Recherche clinique
Famille	Process / pipeline	Process / pipeline
Année d'origine	1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s	2003-2015
Auteur d'origine	Wilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation	Bossuyt, Reitsma, and STARD group (2003); clinical epidemiology pioneers
Type	Observational diagnostic / epidemiological evaluation design	Research Design
Source fondatrice	Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34.	Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., ... & de Vet, H. C. (2003). Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Annals of Internal Medicine, 138(1), 40–44.
Alias	screening study, screening performance evaluation, screening accuracy assessment, STE	diagnostic accuracy study, test accuracy, STARD, diagnostic evaluation
Apparentées	6	2
Résumé	Screening test evaluation is a systematic epidemiological approach for assessing whether a test or program can accurately and cost-effectively identify individuals with a condition before symptoms appear. It quantifies diagnostic performance metrics — sensitivity, specificity, predictive values, and the ROC curve — and evaluates whether a screening program meets established public health criteria for adoption and harm-benefit balance.	A diagnostic accuracy study evaluates how well a new diagnostic test (or biomarker, imaging modality, clinical assessment) detects the presence or absence of disease compared to a reference standard (gold standard). Standardized since 2003 by the STARD (Standards for Reporting of Diagnostic Accuracy Studies) initiative, diagnostic accuracy studies are fundamental to clinical medicine, determining whether and how new tests can improve patient diagnosis and treatment.