So sánh phương pháp

	Nghiên cứu Giai đoạn IV theo phương pháp phân tích gộp	Nghiên cứu thuần tập
Lĩnh vực	Dịch tễ học	Dịch tễ học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1990s–2000s (formalised as regulatory requirement context grew)	Mid-20th century (formal epidemiological design codified ~1950s)
Người khởi xướng	Developed through the convergence of meta-analytic methods (Glass, 1976; Hedges & Olkin, 1985) and post-marketing pharmacoepidemiology frameworks	Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854)
Loại	Evidence synthesis applied to post-marketing observational and trial data	Observational longitudinal study design
Công trình gốc	Sutton, A. J., Abrams, K. R., Jones, D. R., Sheldon, T. A., & Song, F. (2000). Methods for Meta-Analysis in Medical Research. Wiley. ISBN: 978-0471490661	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641
Tên gọi khác	Phase IV meta-analysis, post-marketing meta-analysis, pharmacoepidemiologic meta-analysis, post-approval systematic review and meta-analysis	longitudinal study, follow-up study, panel study, incidence study
Liên quan	3	6
Tóm tắt	A meta-analytic Phase IV study pools and quantitatively synthesises data from multiple Phase IV (post-marketing) sources — including observational cohorts, registries, spontaneous adverse-event databases, and post-approval randomised trials — to produce a single, more precise estimate of a drug or device's real-world effectiveness, safety, or utilisation pattern. By applying meta-analytic weighting to heterogeneous post-marketing evidence, it bridges the gap between tightly controlled pre-approval trials and the complexity of routine clinical practice.	A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome.