This technology is now starting to be applied for clinical and rehabilitation applications and therefore it is crucial that users of these systems understand both their potential and limitations. Markerless motion capture has the potential to perform movement analysis with reduced data collection and processing time compared to marker-based methods. FTT, while also effective, was hindered by a high-degree heterogeneity in the meta-analysis.Įffective PPT including G&R, 9HPT, SST, 30MWT, and FTT was identified for disease detection and monitoring in DCM. Large effect size facilitated detection and monitoring in DCM was unveiling for G&R, 9HPT, SST, and 30MWT. High-quality study with fair risk-of-bias was revealed from Newcastle-Ottawa scale. Only 1 study utilized the Triangle-Stepping Test. Performance in 10-second-Grip-and-Release Test (G&R) and 9-Hole-Peg Test (9HPT) was studied in 10 and 3 articles, respectively, while 10-second-Stepping Test (SST), 30-meter-Walking Test (30MWT) and Foot-Tapping Test (FTT) for lower limbs were studied in 5, 4, and 3 articles correspondingly. There were 13 studies investigating PPT regarding the upper limbs and 12 studies regarding the lower limbs.

Totally, 3111 articles were retrieved, and 19 studies were included for review and meta-analysis.

Homogeneity among studies was assessed by I²-statistics and effect of PPT was confirmed by Cohen’s d effect size and confidence intervals. All included studies were reviewed and undergone quality assessments on the risk-of-bias by Newcastle-Ottawa Scale and were pooled by random-effect analysis with level of significance at 0.05. This review aimed to identify effective physical performance tests (PPT) as clinical outcome indicators for detecting and monitoring degenerative cervical myelopathy (DCM).Ī comprehensive literature search was performed on seven electronic databases on the effectiveness in detection and monitoring of DCM by PPT.

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