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I spy with my little eye … a knee about to go ‘pop’? Can coaches and sports medicine professionals predict who is at greater risk of ACL rupture?
British Journal of Sports Medicine ( IF 11.6 ) Pub Date : 2019-10-14 , DOI: 10.1136/bjsports-2019-100602
Anne Inger Mørtvedt 1 , Tron Krosshaug 2 , Roald Bahr 3 , Erich Petushek 4, 5
Affiliation  

Background The vertical drop jump (VDJ) test is widely used for clinical assessment of ACL injury risk, but it is not clear whether such assessments are valid. Aim To examine if sports medicine professionals and coaches are able to identify players at risk of sustaining an ACL injury by visually assessing player performance during a VDJ test. Methods 102 video clips of elite female handball and football players performing a baseline VDJ test were randomly extracted from a 738-person prospective cohort study that tracked ACL injuries. Of the sample, 20 of 102 went on to suffer an ACL injury. These 102 videos were uploaded to an online survey. Sports medicine professionals and coaches were invited to assess athlete performance and rate each clip with a number between 1 and 10 (1 representing low risk of sustaining an ACL injury and 10 representing high risk). Receiver operating characteristic analyses were used to assess classification accuracy and between-group differences were analysed using one-way analysis of variance. Results 237 assessors completed the survey. Area under the curve values ranged from 0.36 to 0.60, with a mean score of 0.47, which is similar to random guessing. There were no significant differences in classification accuracy between groups (physicians, coaches, certified athletic trainers, researchers or physical therapists). Conclusion Assessors have poor predictive ability (no better than chance), indicating that visual assessment of a VDJ test is a poor test for assessing ACL injury risk in elite female handball and football players.

中文翻译:

我用我的小眼睛窥探……膝盖快要“爆”了?教练员和运动医学专业人士能否预测谁的 ACL 断裂风险更大?

背景垂直跌落跳跃 (VDJ) 测试广泛用于临床评估 ACL 损伤风险,但尚不清楚此类评估是否有效。目的 检查运动医学专业人士和教练是否能够通过在 VDJ 测试期间目视评估运动员的表现来识别有可能遭受 ACL 损伤的运动员。方法 从一项追踪 ACL 损伤的 738 人前瞻性队列研究中随机提取了 102 个精英女子手球和足球运动员进行基线 VDJ 测试的视频片段。在样本中,102 人中有 20 人继续遭受 ACL 损伤。这 102 个视频被上传到在线调查中。运动医学专业人士和教练受邀评估运动员的表现,并用 1 到 10 之间的数字对每个剪辑进行评分(1 代表 ACL 损伤的低风险,10 代表高风险)。接受者操作特征分析用于评估分类准确性,组间差异使用单向方差分析进行分析。结果 237 名评估员完成了调查。曲线下面积值在 0.36 到 0.60 之间,平均得分为 0.47,类似于随机猜测。各组(医生、教练、认证运动教练、研究人员或物理治疗师)之间的分类准确性没有显着差异。结论 评估员的预测能力很差(不比机会好),
更新日期:2019-10-14
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