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Is Leg-Driven Treadmill-Based Exoskeleton Robot Training Beneficial to Poststroke Patients: A Systematic Review and Meta-analysis.

Authors :
Zhu, Ying-Hui
Ruan, Ming
Yun, Rui-Sheng
Zhong, Ying-Xi
Zhang, Yu-Xin
Wang, Yong-Jun
Sun, Yue-Li
Cui, Jia-Wen
Source :
American Journal of Physical Medicine & Rehabilitation. Apr2023, Vol. 102 Issue 4, p331-339. 9p.
Publication Year :
2023

Abstract

Objective: The aim of the study is to systematically review the effects of leg-driven treadmill-based exoskeleton robot training on balance and walking ability in poststroke patients. Design: The PubMed, Cochrane Library, Embase, Web of Science, Medline, CNKI, VIP, and Wanfang databases were searched from inception to August 2021. The literature quality was evaluated using Cochrane Handbook. Primary outcomes include the Functional Ambulation Category Scale and Berg Balance Scale, and secondary outcomes include the 10 meter walk test, 6 minute walk test, and gait assessment cadence were analyzed. Results: Seventeen randomized controlled trials were included in the systematic review, 15 studies in meta-analysis. Primary outcomes showed no significant difference in the Functional Ambulation Category Scale score; subgroup with the exoskeleton robot + conventional therapy of the Berg Balance Scale score was significantly increased; secondary outcomes showed no significance in 6 minute walk test or 10 meter walk test. The cadence score increased for the subgroup with an onset of more than 6 mos in the treatment group. The control group performed better than the subgroup with an onset of less than 6 mos. Conclusions: Leg-driven treadmill-based exoskeleton robot training can improve balance function in poststroke patients and is beneficial for patients with an onset of greater than 6 mos. However, there is no evidence to support the efficacy of walking ability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08949115
Volume :
102
Issue :
4
Database :
Academic Search Index
Journal :
American Journal of Physical Medicine & Rehabilitation
Publication Type :
Academic Journal
Accession number :
162441168
Full Text :
https://doi.org/10.1097/PHM.0000000000002098