เปรียบเทียบวิธี

	การศึกษาความแม่นยำในการวินิจฉัยแบบหลายศูนย์	การศึกษาวิเคราะห์อภิมานความแม่นยำในการวินิจฉัย
สาขาวิชา	ระบาดวิทยา	ระบาดวิทยา
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	2003 (STARD statement first published; updated 2015)	1993–2005 (foundational models)
ผู้ริเริ่ม	STARD Group (Bossuyt, Reitsma et al.)	Moses, Shapiro & Littenberg (SROC framework, 1993); Reitsma et al. (bivariate model, 2005)
ประเภท	Observational diagnostic study design	Quantitative systematic synthesis
แหล่งต้นตำรับ	Bossuyt, 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.	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.
ชื่อเรียกอื่น	multisite diagnostic accuracy study, multicenter DTA study, multicenter index test evaluation, STARD multicenter study	DTA meta-analysis, diagnostic meta-analysis, systematic review of diagnostic accuracy, pooled diagnostic accuracy
ที่เกี่ยวข้อง	5	2
สรุป	A 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.