Background: Robot-assisted training is used as a new rehabilitation training method for the treatment of motor dysfunction in neurological diseases. Robot-assisted gait training (RAGT) has been reported to treat motor dysfunction in patients with Parkinson's disease (PD). The purpose of this study was to summarize previous clinical studies comparing the effectiveness of RAGT and conventional training for lower extremity dyskinesia in PD patients.
Methods: PubMed, Cochrane library, Scopus, Embase, EBSCO, Web of Science, CNKI, and Wanfang databases were searched. This study included all randomized controlled trials (RCTs) compared lower extremity RAGT with conventional training on motor impairment in PD patients. The retrieval time limit is from the establishment of the database to October 2022. Two researchers independently screened the literature, extracted data, assessed the risk of bias of included studies, and then used RevMan 5.3 software for meta-analysis.
Results: A total of 14 RCTs with 572 patients were included. The results showed that compared with the control group, RAGT significantly improved the motor function evaluation-related indicators 10MWT, 6MWT, TUG and UPDRS III, 10MWT [MD= 0.08, 95 % CI (0.01, 0.14), P = 0.03], 6MWT [MD= 42.83, 95 % CI (22.05, 63.62), P < 0.0001], TUG[MD= -1.81, 95 % CI (-2.55, -1.08), P < 0.0001], UPDRS III [MD= - 3.82, 95 % CI (-4.27, -3.37), P < 0.00001]; For the balance function evaluation index BBS [MD= 3.33, 95 % CI (2.76, 3.89), P < 0.00001], the above results were significantly different significance.
Conclusion: The currently limited evidence suggests that RAGT provides evidence for the effectiveness of lower extremity motor function and balance dysfunction, and RAGT can significantly improve motor and balance function in PD patients.
Keywords: Balance; Lower extremity; Movement disorders; Parkinson's disease; Robot-assisted gait training.
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