Falling is the second most prevalent cause of accidental death in the world. Currently available clinical tests to assess balance in older people are insufficiently sensitive to screen for fall risk in this population. Laboratory tests that record the center of pressure (COP) trajectory could overcome this problem but despite their widespread use, the choice of COP trajectory features for use as a biomarker of fall risk lacks consensus. This systematic review and meta-analysis aimed at identifying the best COP characteristics to predict risk of falling in older adults. More than 4000 articles were screened; 44 (7176 older adults) were included in this study. Several COP parameters emerged as good indices to discriminate fallers from non-fallers. From sensitivity analysis, Sway area per unit time, anteroposterior mean velocity, and radial mean velocity were the best traditional features. In this study, identification of older people with a high fall risk was demonstrated using quiet-standing recordings. Such screening would also be useful for routine follow-up of balance changes in older fallers in clinical practice.

坠落是世界上意外死亡的第二大最普遍原因。当前用于评估老年人平衡的临床测试对筛查该人群跌倒风险的敏感性不足。记录压力中心（COP）轨迹中心的实验室测试可以解决此问题，但是尽管已广泛使用，但将COP轨迹特征用作跌倒风险的生物标记的选择尚无共识。这项系统的审查和荟萃分析旨在确定最佳的COP特征，以预测老年人跌倒的风险。筛选了4000多篇文章；这项研究包括了44名（7176名老年人）。几个COP参数出现，成为区分坠落者和非坠落者的良好指标。根据灵敏度分析，单位时间内的摇摆面积，前后平均速度，和径向平均速度是最好的传统特征。在这项研究中，使用安静的录音证明了对高跌倒风险的老年人的识别。这种筛选对于临床实践中较大的跌倒者的平衡变化的常规随访也将是有用的。