A Practical Guide to Conducting Dose-Response Meta-Analyses in Epidemiology

Area of Science:

• Epidemiology
• Biostatistics
• Public Health

Background:

• Understanding dose-response relationships is vital for assessing risks associated with varying exposure levels.
• Dose-response curves inform targeted public health strategies and policy development.
• Meta-analyses are powerful tools for synthesizing study data to model these relationships.

Purpose of the Study:

• To propose a standardized three-step process for estimating dose-response relationships using meta-analysis.
• To address challenges in dose-response meta-analysis, including heterogeneous reference categories and inconsistent risk measures.
• To demonstrate the proposed methodology using data on alcohol consumption and chronic liver disease risk.

Main Methods:

• Harmonizing diverse measures of risk across studies.
• Homogenizing the reference category to ensure consistency.
• Selecting appropriate meta-regression models for curve fitting.

Main Results:

• The proposed three-step process provides a framework for robust dose-response meta-analysis.
• The example application successfully modeled the relationship between alcohol intake and chronic liver disease.
• The methodology addresses key limitations in existing dose-response meta-analysis techniques.

Conclusions:

• The developed three-step approach enhances the accuracy and reliability of dose-response meta-analyses.
• This method facilitates clearer interpretation of exposure-risk associations.
• It supports evidence-based public health interventions and policy decisions.