Author:
Chen Xiao,Yin Lu,Hou Yangbo,Wang Jie,Li Yongyi,Yan Juntao,Tao Jiming,Ma Shujie
Abstract
Abstract
Objective
Understanding the characteristics related to cardiorespiratory fitness after stroke can provide reference values for patients in clinical rehabilitation exercise. This meta- analysis aimed to investigate the effect of robot-assisted gait training in improving cardiorespiratory fitness in post-stroke patients, compared to conventional rehabilitation training.
Methods
PubMed, EMBASE, Web of Science, Cochrane Database of Systematic Reviews, CBM, CNKI and Wanfang databases were searched until March 18th, 2024. Randomized controlled trials (RCTs) comparing the effectiveness of robot-assisted gait training versus control group were included. The main outcome variable was peak oxygen uptake. 6-minute walking test, peak heart rate, peak inspiratory expiratory ratio as our secondary indicators. RevMan 5.3 software was used for statistical analysis.
Results
A total of 17 articles were included, involving 689 subjects. The results showed a significant effect for robot-assisted gait training to improve VO2peak (MD = 1.85; 95% CI: -0.13 to 3.57; p = 0.04) and 6WMT (MD = 19.26; 95% CI: 10.43 to 28.08; p < 0.0001). However, no significant difference favouring robot-assisted gait training were found in HRpeak (MD = 3.56; 95% CI: -1.90 to 9.02; p = 0.20) and RERpeak (MD = -0.01; 95% CI: -0.04 to 0.01; p = 0.34).
Conclusion
These results showed that robot-assisted gait training may have a beneficial effect in improving VO2peak and 6WMT, with a moderate recommendation level according to the GRADE guidelines.
Funder
Budget project of Shanghai University of Traditional Chinese Medicine
Shanghai Shenkang Center Medical Enterprise Integration and Innovation Collaborative Special Project
Construction of Demonstration Research Wards in Shanghai Shenkang Center
Shanghai Health System Key Supporting Discipline Construction Project
the National Science Foundation for Young Scientists of China
the Medical Key Specialized Project of Baoshan District
Publisher
Springer Science and Business Media LLC