So sánh phương pháp

	Nghiên cứu độ chính xác chẩn đoán đa trung tâm	Nghiên cứu đoàn hệ đa trung tâm
Lĩnh vực	Dịch tễ học	Dịch tễ học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2003 (STARD statement first published; updated 2015)	Mid-to-late 20th century (widespread adoption 1970s–1990s)
Người khởi xướng	STARD Group (Bossuyt, Reitsma et al.)	Developed incrementally through large collaborative epidemiological projects (e.g., Framingham Heart Study consortium expansions, 1948 onward; EPIC study, 1992)
Loại	Observational diagnostic study design	Observational longitudinal study
Công trình gốc	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.	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Tên gọi khác	multisite diagnostic accuracy study, multicenter DTA study, multicenter index test evaluation, STARD multicenter study	multisite cohort study, multi-centre cohort, collaborative cohort study, pooled cohort study
Liên quan	5	6
Tóm tắt	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 multicenter cohort study follows defined groups of participants at two or more geographically or institutionally distinct sites over time to estimate incidence, identify risk factors, and quantify associations between exposures and outcomes. By pooling data from multiple centers, it achieves statistical power and population diversity that single-site designs cannot match, making it the workhorse of large-scale epidemiological and clinical research.