Process / pipelineClinical / epidemiology

Meta-analytic Screening Test Evaluation — Pooling Diagnostic Accuracy Evidence

Meta-analytic screening test evaluation is a quantitative evidence-synthesis approach that pools sensitivity, specificity, and related accuracy indices across multiple primary studies of the same screening or diagnostic test. It produces summary estimates of a test's ability to correctly identify disease-positive and disease-negative individuals, typically using the bivariate random-effects model or the Hierarchical Summary ROC (HSROC) framework, and visualises results with summary ROC curves and forest plots.

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Sources

  1. Reitsma, J. B., Glas, A. S., Rutjes, A. W. S., Scholten, R. J. P. M., 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: 10.1016/j.jclinepi.2005.02.022
  2. Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy. (2023). Cochrane. link

Related methods

ScholarGateMeta-analytic Screening Test Evaluation (Meta-analytic Evaluation of Screening and Diagnostic Tests). Retrieved 2026-06-04 from https://scholargate.app/en/epidemiology/meta-analytic-screening-test-evaluation