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Meta-analysis prediction intervals are under reported in sport and exercise medicine
David N Borg1,2,3, Franco M Impellizzeri4, Samantha J Borg1
1Australian Centre for Health Services Innovation (AusHSI), School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia.
Scandinavian Journal of Medicine & Science in Sports
|March 19, 2024
Summary
Few sports medicine meta-analyses report prediction intervals, missing crucial heterogeneity. This omission may lead to misinterpreting study findings and using ineffective treatments.
Area of Science:
- Sports Medicine
- Biostatistics
- Medical Research Methodology
Background:
- Prediction intervals in meta-analysis quantify uncertainty for future studies, unlike confidence intervals which focus on estimate precision.
- Heterogeneity between studies is a key factor in meta-analyses, impacting overall conclusions and practical application.
- Reporting prediction intervals is crucial for a comprehensive understanding of meta-analysis results.
Purpose of the Study:
- To determine the frequency of prediction interval reporting in sports medicine meta-analyses.
- To assess the proportion of sports medicine meta-analyses with discrepancies between reported confidence intervals and calculated prediction intervals.
- To highlight the implications of underreporting prediction intervals in medical research.
Main Methods:
- A random sample of 1500 meta-analysis studies published between 2012-2022 in top-tier journals was screened.
- Studies employing a random effects meta-analysis model were included.
- Data extraction focused on the number of estimates, pooled effect, and both confidence and prediction intervals.
Main Results:
- Only 1.7% of sports medicine meta-analyses reported prediction intervals, compared to 3.9% in general medicine.
- A discrepancy between confidence and prediction intervals was observed in 60% of the 220 calculable sports medicine studies.
- Prediction intervals were found to be 3.4 times wider than confidence intervals, indicating greater uncertainty.
Conclusions:
- The low reporting rate of prediction intervals in meta-analyses, particularly in sports medicine, risks overlooking significant between-study heterogeneity.
- Misinterpretation of meta-analysis results due to this omission can lead to the adoption of ineffective or harmful treatments.
- Awareness among authors, reviewers, and editors regarding the importance of prediction intervals is essential for improving research quality.
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