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Attention should be given to multiplicity issues in systematic reviews
Ralf Bender1, Catey Bunce, Mike Clarke
1Institute for Quality and Efficiency in Health Care, Dillenburger Street 27, Cologne, Germany. ralf.bender@iqwig.de
This study addresses the challenge of multiple comparisons in systematic reviews, offering practical guidance for researchers. Addressing multiplicity is crucial for accurate interpretation of systematic review findings.
Area of Science:
- Medical Research Methodology
- Evidence Synthesis
- Biostatistics
Background:
- Systematic reviews synthesize existing research, but face challenges with multiple comparisons.
- The issue of multiplicity can inflate Type I errors, leading to potentially false positive conclusions.
Purpose of the Study:
- To describe the problem of multiple comparisons in systematic reviews.
- To provide practical guidelines for managing multiplicity in systematic reviews.
Main Methods:
- Identification of common sources of multiplicity in systematic reviews.
- Examples illustrating multiplicity issues.
- Development of guidance for unavoidable multiplicity.
Main Results:
- Six key reasons for multiplicity identified: multiple outcomes, groups, time points, effect measures, subgroup analyses, and sequential data analysis.
- Standard methods for single trials are often inadequate for systematic reviews.
Conclusions:
- No single, perfect solution exists for multiple comparisons in systematic reviews.
- Further research is needed to develop specific procedures for systematic reviews.
- Authors and users must carefully consider multiplicity when interpreting systematic review results.
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