方法对比
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| 多中心筛查试验评估× | 多中心队列研究× | |
|---|---|---|
| 领域 | 流行病学 | 流行病学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1976–2003 (core diagnostic accuracy framework; multicenter STARD standards formalized 2003) | Mid-to-late 20th century (widespread adoption 1970s–1990s) |
| 提出者≠ | Methodological consensus (STARD group, Bossuyt et al.); broader diagnostic accuracy tradition rooted in Hanley & McNeil (1982) and Sackett & Haynes (1976) | Developed incrementally through large collaborative epidemiological projects (e.g., Framingham Heart Study consortium expansions, 1948 onward; EPIC study, 1992) |
| 类型≠ | Observational diagnostic accuracy study | Observational longitudinal study |
| 开创性文献≠ | Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003). Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative. Annals of Internal Medicine, 138(1), 40-44. DOI ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| 别名 | multicenter diagnostic accuracy study, multisite screening evaluation, multicenter test performance study, multicenter DTA study | multisite cohort study, multi-centre cohort, collaborative cohort study, pooled cohort study |
| 相关 | 6 | 6 |
| 摘要≠ | A multicenter screening test evaluation measures the diagnostic accuracy of a screening test — its sensitivity, specificity, predictive values, and ROC-curve area — by enrolling participants across two or more independent clinical sites. Conducting the study at multiple centers broadens the patient spectrum, tests generalizability across different laboratory conditions and patient populations, and produces more externally valid accuracy estimates than a single-center study. | 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. |
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