Salīdzināt metodes

	Meta-analītiskais kohortu pētījums	Meta-analīze devas un atbildes reakcijas
Nozare	Epidemioloģija	Pierādījumu sintēze
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1980s–1990s (formalized practice)	1992
Autors	Developed iteratively through epidemiological meta-analysis literature; Greenland, Berlin, Colditz among key contributors	Greenland & Longnecker (1992), Advanced by Orsini et al. (2012)
Tips	Quantitative synthesis / observational epidemiology	Method
Pirmavots	Greenland, S., & Longnecker, M. P. (1992). Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. American Journal of Epidemiology, 135(11), 1301-1309.	Greenland, S., & Longnecker, M. P. (1992). Methods for trend estimation of environmental health risks, with application to exposure to contaminated groundwater. Statistics in Medicine, 11(14‐15), 1837–1847.
Citi nosaukumi	cohort meta-analysis, pooled cohort analysis, meta-analysis of cohort studies, prospective cohort meta-analysis	Dose-Response Relationship, Non-Linear Meta-Analysis, Dose-Effect Synthesis
Saistītās	2	1
Kopsavilkums	A meta-analytic cohort study systematically identifies, appraises, and statistically pools the findings of two or more independent cohort studies addressing the same exposure-outcome relationship. By combining large prospective datasets, it provides more precise risk estimates than any single cohort alone, makes dose-response patterns detectable, and enables subgroup analyses across diverse populations. It is the design of choice when cohort-level evidence exists but individual studies are underpowered or inconsistent.	Dose-response meta-analysis is a specialized evidence synthesis method that models the relationship between exposure dose (or intensity, duration, quantity) and health outcome across multiple studies, assessing whether effects follow a linear trend, nonlinear curve, or threshold pattern. Pioneered by Greenland and Longnecker (1992) and refined by Orsini et al. (2012), dose-response meta-analysis answers critical questions like 'Does cardiovascular disease risk increase consistently with salt intake, or is there a threshold above which risk plateaus?' and 'Does the benefit of physical activity increase linearly with exercise duration, or do diminishing returns occur at high doses?' This method is essential for risk assessment, policy-setting on safe exposure limits, and optimizing treatment dosing.