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Systematic reviews to evaluate causation: an overview of methods and application
Khalid S Khan1, Elizabeth Ball, Caroline E Fox
1Department of Obstetrics and Gynaecology, Royal London Hospital, London, UK. k.s.khan@qmul.ac.uk
Systematic reviews can evaluate disease causation by examining evidence for causal criteria. This approach synthesizes data to determine if observed associations are truly causal, advancing medical understanding.
Area of Science:
- Medical research methodology
- Epidemiology
- Causal inference
Background:
- Systematic reviews traditionally focus on diagnosis or treatment effectiveness.
- Understanding disease aetiology (causation) is fundamental to medical education, practice, and research.
- Qualitative assessment of causal criteria is common but can be enhanced by systematic evidence synthesis.
Purpose of the Study:
- To outline a systematic approach for evaluating disease aetiology and mechanisms using evidence synthesis.
- To detail the application of causal criteria within systematic reviews for establishing disease causation.
- To highlight the need for rigorous methods in assessing disease causality.
Main Methods:
- Specify research questions addressing causal criteria (strength, consistency, temporality, specificity, biological gradient, plausibility, experimental evidence).
- Conduct thorough literature searches and assess study quality, focusing on bias, exposure, and outcome ascertainment.
- Synthesize data using meta-analysis, heterogeneity testing, and meta-regression to evaluate associations.
- Systematically assess biological plausibility and coherence with existing scientific literature.
- Collate and synthesize experimental evidence to determine if causal agent removal impacts outcomes.
Main Results:
- A systematic review framework can rigorously assess evidence for disease causation.
- Quantitative synthesis methods like meta-analysis can strengthen causal inference.
- The framework allows for systematic evaluation of all established causal criteria.
Conclusions:
- Systematic reviews offer a robust methodology for evaluating disease aetiology beyond traditional diagnostic or treatment effectiveness reviews.
- This evidence synthesis approach can systematically determine whether observed associations are causal.
- Applying these methods advances the understanding of disease mechanisms and supports evidence-based medicine.
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