@article{ref1,
title="Predicting injury: challenges in prospective injury risk factor identification",
journal="Journal of athletic training",
year="2016",
author="Clifton, Daniel R. and Grooms, Dustin R. and Hertel, Jay and Onate, James A.",
volume="51",
number="8",
pages="658-661",
abstract="CONTEXT: Musculoskeletal injury-prediction methods vary and may have limitations that affect the accuracy of results and clinical meaningfulness. <br><br>BACKGROUND: Research examining injury risk factors is meaningful, but attempting to extrapolate injury risk from studies that do not prospectively assess injury occurrence may limit clinical applications. Injury incidence is a vital outcome measure, which allows for the appropriate interpretation of injury-prediction analyses; a lack of injury-incidence data may decrease the accuracy and increase the uncertainty of injury-risk estimates. Extrapolating results that predict an injury risk factor to predicting actual injuries may lead to inappropriate clinical decision-making models. <br><br>CONCLUSIONS: Improved understanding of the limitations of injury-prediction methods, specifically those that do not prospectively assess injuries, will allow clinicians to better assess the clinical meaningfulness of the results.<p /> <p>Language: en</p>",
language="en",
issn="1062-6050",
doi="10.4085/1062-6050-51.11.03",
url="http://dx.doi.org/10.4085/1062-6050-51.11.03"
}