Journal
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
Volume 104, Issue 10, Pages 1711-1719Publisher
W B SAUNDERS CO-ELSEVIER INC
DOI: 10.1016/j.apmr.2023.04.005
Keywords
Balance; Gait; Network meta-analysis; Rehabilitation; Robotic; Stroke rehabilitation; Virtual reality
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This study evaluated the effectiveness of robot-assisted training, virtual reality, and robot-assisted rehabilitation combined with virtual reality in patients with stroke. The findings suggest that robot-assisted rehabilitation combined with virtual reality is most effective for improving balance, while virtual reality is beneficial for enhancing velocity and daily function in stroke patients.
Objective: This study aimed to evaluate the comparative effectiveness and ranking of robot-assisted training, virtual reality, and robot-assisted rehabilitation combined with virtual reality in improving balance, gait, and daily function in patients with stroke. Data Sources: PubMed, EMBASE, the Cochrane Library, Physiotherapy Evidence Database, CINAHL, Web of Science, and ProQuest Dissertations and Theses abstracting and indexing databases were comprehensively searched to include randomized controlled trials published through Study Selection: Randomized controlled trials comparing robot-assisted training, virtual reality, robot-assisted rehabilitation combined with virtual reality, and conventional therapy to assess the effects on balance, gait, and daily function of patients with stroke. Data Extraction: The risk of bias was assessed using the Cochrane Risk of Bias tool and the methodological quality of the studies was assessed using the Physiotherapy Evidence Database scale. A network meta-analysis of random effects models was performed for direct and indirect effects. Data were analyzed using Stata SE 17.0 and R 4.2.1. Data Synthesis: A total of 52 randomized controlled trials involving 1,559 participants were included in this study. Based on the ranking probabilities, robot-assisted rehabilitation combined with virtual reality was most effective in improving balance (surface under the cumulative ranking curve [SUCRA]=82.0%; mean difference [MD]=4.10; 95% confidence interval [CI], 0.43 to 7.67). Virtual reality was most effective in improving velocity (SUCRA=97.8%; MD=-0.15; 95% CI, -0.24 to -0.06) and daily function (SUCRA=92.1%; MD=-7.85; 95% CI, -15.18 to -1.07). Conclusions: Compared to robot-assisted training and conventional therapy, robot-assisted training combined virtual reality was most likely the best intervention for balance, and virtual reality might be the most helpful in improving daily function for patients after stroke. Further studies are needed to clarify the specific efficacy of robot-assisted training combined with virtual reality and virtual reality on gait. (c) 2023 Published by Elsevier Inc. on behalf of the American Congress of Rehabilitation Medicine
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