Christopher Raphael, Brandt Corlia, Benjamin-Damon Natalie
Department of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
S Afr J Physiother. 2021 Feb 12;77(1):1496. doi: 10.4102/sajp.v77i1.1496. eCollection 2021.
Several screening tools are available for use in a clinical setting to predict injury. However, there is a lack of evidence regarding the accuracy of these tools to predict soccer-specific injuries.
The purpose of this systematic literature review was to determine the psychometric properties or accuracy of screening tools for common soccer injuries.
A systematic review of diagnostic test accuracy was undertaken based on the Joanna Briggs Institute (JBI) procedure for conducting systematic reviews. Databases such as SPORT Discus, Cinahl, Medline, Science Direct, PubMed and grey literature were searched in order to access suitable studies.
A total of 10 studies were included for the analysis - three were analysed quantitatively whilst the remaining seven were analysed qualitatively. The screening tools were of high reliability, sensitivity and specificity (calculated as intraclass correlation coefficient [ICC] (0.68 95% confidence interval [CI]: 0.52-0.84 and 0.64 95% CI: 0.61-0.66, respectively).
The screening tools assessed for the prediction of common soccer injuries that emerged from this systematic review include the Functional Movement Screening (FMS™), the Landing Error Scoring System (LESS), the Tuck Jump Assessment, the Soccer Injury Movement Screening (SIMS) and the conventional hamstrings to quadriceps ratio; all with good evidence of predicting common soccer injuries. These tools were of high sensitivity and specificity thus reliable for soccer screening.
The validity of these tools is acceptable and therefore the authors recommend that these tools be included in an injury prevention programme for soccer players.
有几种筛查工具可用于临床环境以预测损伤。然而，关于这些工具预测足球特定损伤准确性的证据不足。
本系统文献综述的目的是确定常见足球损伤筛查工具的心理测量特性或准确性。
基于乔安娜·布里格斯研究所（JBI）进行系统综述的程序，对诊断测试准确性进行了系统综述。搜索了诸如SPORT Discus、Cinahl、Medline、Science Direct、PubMed等数据库以及灰色文献，以获取合适的研究。
共纳入10项研究进行分析——3项进行了定量分析，其余7项进行了定性分析。筛查工具具有高可靠性、敏感性和特异性（分别计算为组内相关系数[ICC]（0.68，95%置信区间[CI]：0.52 - 0.84和0.64，95% CI：0.61 - 0.66）。
本系统综述中评估的用于预测常见足球损伤的筛查工具包括功能性动作筛查（FMS™）、落地误差评分系统（LESS）、团身跳评估、足球损伤动作筛查（SIMS）以及传统的腘绳肌与股四头肌比率；所有这些工具在预测常见足球损伤方面都有充分证据。这些工具具有高敏感性和特异性，因此对于足球筛查是可靠的。
这些工具的有效性是可接受的，因此作者建议将这些工具纳入足球运动员的损伤预防计划中。
