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Novel Pooling Method for Nonlinear Cohort Analysis and Meta-analysis Estimates: Predicting Health Outcomes from
Tommi Härkänen1, Heli Tapanainen, Laura Sares-Jäske
1Finnish Institute for Health and Welfare, Helsinki, Finland.
Epidemiology (Cambridge, Mass.)
|January 8, 2026
Summary
A new meta-analysis method improves health outcome projections by pooling nonlinear estimates. Dietary changes, like reducing meat and increasing whole grains, can significantly lower mortality and ischemic heart disease (IHD) prevalence.
Area of Science:
- Epidemiology
- Biostatistics
- Public Health
Background:
- Accurate health outcome projections are vital for early intervention strategies.
- Individual participant data meta-analyses enhance generalizability and reduce uncertainty.
- Existing meta-meta-analysis methods for nonlinear functions are underdeveloped.
Purpose of the Study:
- To develop and apply a novel meta-analysis method for pooling nonlinear function estimates.
- To project the impact of dietary changes on mortality and ischemic heart disease (IHD) in Finland.
Main Methods:
- A new meta-analysis technique was developed to combine literature estimates of nonlinear functions with parameter estimates.
- Individual participant data from four Finnish surveys (n=20,784) were linked with national health register data.
- A Poisson multistate model and microsimulation were employed for state probability projections.
Main Results:
- The novel pooling method reduced uncertainty in hazard ratio estimates and health projections.
- A two-thirds reduction in red/processed meat intake was projected to decrease IHD prevalence by 2%pt and deaths by 2%pt by 2050.
- A 100% increase in whole grain consumption was estimated to reduce IHD and deaths by 2%pt by 2050.
Conclusions:
- The developed meta-analysis method effectively pools nonlinear estimates from literature.
- Findings support the hypothesis that plant-based diets reduce mortality and IHD.
- Dietary shifts, including reduced red/processed meat and increased whole grains, show significant health benefits.
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