Salīdzināt metodes

	Meta-analītisks gadījumu-kontroles pētījums	Saskaņots gadījuma kontroles pētījums
Nozare	Epidemioloģija	Epidemioloģija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1980s–2000 (formalized with MOOSE reporting guidelines in 2000)	1950s–1970s
Autors	Systematic development attributed to multiple epidemiologists; MOOSE guidelines formalized by Stroup et al.	Brian MacMahon and others; systematised by Schlesselman (1982)
Tips	Observational study synthesis	Observational analytic design
Pirmavots	Shapiro, S. (1994). Meta-analysis/Shmeta-analysis. American Journal of Epidemiology, 140(9), 771-778.	Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474
Citi nosaukumi	pooled case-control analysis, case-control meta-analysis, meta-analytic case-control design, systematic pooled case-control	matched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design
Saistītās	4	5
Kopsavilkums	A meta-analytic case-control study systematically identifies, critically appraises, and quantitatively synthesizes data from multiple independent case-control studies examining the same exposure-disease relationship. By pooling odds ratios across studies, it yields a more precise and generalizable estimate of association than any single study can provide, while formally quantifying heterogeneity across populations, settings, and study periods.	A matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure history is then compared between cases and their matched controls to estimate the odds ratio of the exposure-disease association.