The Impact of Study Size on Meta-analyses: Examination of Underpowered Studies in Cochrane Reviews
MRC Biostatistics Unit · University of Bristol · +1 more institution
Abstract
BACKGROUND: Most meta-analyses include data from one or more small studies that, individually, do not have power to detect an intervention effect. The relative influence of adequately powered and underpowered studies in published meta-analyses has not previously been explored. We examine the distribution of power available in studies within meta-analyses published in Cochrane reviews, and investigate the impact of underpowered studies on meta-analysis results. METHODS AND FINDINGS: For 14,886 meta-analyses of binary outcomes from 1,991 Cochrane reviews, we calculated power per study within each meta-analysis. We defined adequate power as ≥50% power to detect a 30% relative risk reduction. In a subset of 1,107…
Citation impact
- FWCI
- 32.98
- Percentile
- 100%
- References
- 26
Authors
3Topics & keywords
- Meta-analysis
- Quartile
- Medicine
- Systematic review
- MEDLINE
- Odds ratio
- Sample size determination
- Statistical power