Comparar métodos

	Estudo Meta-Análitico de Acurácia Diagnóstica	Desenho de Estudo de Acurácia Diagnóstica	Avaliação de Testes de Rastreamento
Área	Epidemiologia	Pesquisa clínica	Epidemiologia
Família	Process / pipeline	Process / pipeline	Process / pipeline
Ano de origem	1993–2005 (foundational models)	2003-2015	1968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s
Autor original	Moses, Shapiro & Littenberg (SROC framework, 1993); Reitsma et al. (bivariate model, 2005)	Bossuyt, Reitsma, and STARD group (2003); clinical epidemiology pioneers	Wilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation
Tipo	Quantitative systematic synthesis	Research Design	Observational diagnostic / epidemiological evaluation design
Fonte seminal	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.	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.	Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34.
Outros nomes	DTA meta-analysis, diagnostic meta-analysis, systematic review of diagnostic accuracy, pooled diagnostic accuracy	diagnostic accuracy study, test accuracy, STARD, diagnostic evaluation	screening study, screening performance evaluation, screening accuracy assessment, STE
Relacionados	2	2	6
Resumo	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.	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.	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.