A meta-analysis prediction interval is a measure of uncertainty that reflects the likely effect size of a new study based on existing studies. This study found that very few meta-analyses in sports medicine report prediction intervals, with only 1.7% of sports medicine studies and 3.9% of medical studies reporting them. Prediction intervals are typically 3.4 times wider than confidence intervals, indicating greater uncertainty. The study highlights that the lack of reporting of prediction intervals may lead to an incomplete understanding of between-study heterogeneity, potentially resulting in the use of treatments with insufficient evidence or harmful effects. The authors emphasize the importance of reporting prediction intervals in meta-analyses to ensure accurate conclusions and informed decision-making. They suggest that journals should mandate the reporting of prediction intervals to improve the quality and reliability of meta-analyses in sports medicine and other fields. The study also notes that while there is some improvement in prediction interval reporting in sports medicine since 2019, the overall rate remains low. The findings indicate that prediction intervals are often overlooked in favor of confidence intervals, which may lead to misinterpretation of results. The authors recommend that researchers, reviewers, and journal editors be aware of the importance of prediction intervals in meta-analyses.A meta-analysis prediction interval is a measure of uncertainty that reflects the likely effect size of a new study based on existing studies. This study found that very few meta-analyses in sports medicine report prediction intervals, with only 1.7% of sports medicine studies and 3.9% of medical studies reporting them. Prediction intervals are typically 3.4 times wider than confidence intervals, indicating greater uncertainty. The study highlights that the lack of reporting of prediction intervals may lead to an incomplete understanding of between-study heterogeneity, potentially resulting in the use of treatments with insufficient evidence or harmful effects. The authors emphasize the importance of reporting prediction intervals in meta-analyses to ensure accurate conclusions and informed decision-making. They suggest that journals should mandate the reporting of prediction intervals to improve the quality and reliability of meta-analyses in sports medicine and other fields. The study also notes that while there is some improvement in prediction interval reporting in sports medicine since 2019, the overall rate remains low. The findings indicate that prediction intervals are often overlooked in favor of confidence intervals, which may lead to misinterpretation of results. The authors recommend that researchers, reviewers, and journal editors be aware of the importance of prediction intervals in meta-analyses.