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Benefits of Virtual Reality Balance Training for Patients With Parkinson Disease: Systematic Review, Meta-analysis, and Meta-Regression of a Randomized Controlled Trial

BACKGROUND: Virtual reality (VR) balance training is increasingly being pursued in biomedical research, specifically with respect to investigating balance ability with VR. However, existing systematic reviews have found inconsistent conclusions about the efficacy of VR in improving balance in Parkin...

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Detalles Bibliográficos
Autores principales: Wu, Jinlong, Zhang, Hui, Chen, Ziyan, Fu, Ruijia, Yang, Hao, Zeng, Hongfa, Ren, Zhanbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924777/
https://www.ncbi.nlm.nih.gov/pubmed/35230242
http://dx.doi.org/10.2196/30882
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author Wu, Jinlong
Zhang, Hui
Chen, Ziyan
Fu, Ruijia
Yang, Hao
Zeng, Hongfa
Ren, Zhanbing
author_facet Wu, Jinlong
Zhang, Hui
Chen, Ziyan
Fu, Ruijia
Yang, Hao
Zeng, Hongfa
Ren, Zhanbing
author_sort Wu, Jinlong
collection PubMed
description BACKGROUND: Virtual reality (VR) balance training is increasingly being pursued in biomedical research, specifically with respect to investigating balance ability with VR. However, existing systematic reviews have found inconsistent conclusions about the efficacy of VR in improving balance in Parkinson disease (PD) patients. OBJECTIVE: The goal of the research was to evaluate the impact of VR balance training on the balance ability of patients with PD. METHODS: All major databases, including Web of Science, PubMed, Scopus, China National Knowledge Infrastructure, and Wanfang, were searched to identify all relevant studies published in English or Chinese since September 15, 2010. Two researchers independently conducted document retrieval, study selection, data extraction, and methodological quality evaluation. RESULTS: A total of 16 randomized controlled trials were analyzed (n=583 patients with PD), with the methodological quality evaluation score ranging from 5 to 8 points. A random effects model was selected to combine effect sizes. Meta-analysis showed that the balance ability of PD was significantly improved after VR training compared with the control group (standardized mean difference [SMD] 2.127, 95% CI 1.202 to 3.052, P<.001, I(2)=95.1, df=15). It is worth noting that the intervention platform may be the main reason for heterogeneity. Meta regression analysis showed that no training program could predict the impact of VR training (P=.57 to .94) on PD balance ability. Subgroup result showed that a single training time of 0 to 20 minutes (SMD 6.446), 4 to 6 times per week (SMD 4.067), training for 3 to 5 weeks (SMD 62.478), training course reached more than 30 times (SMD 4.405), and 201 to 300 minutes per week (SMD 4.059) maybe have more benefit. CONCLUSIONS: A systematic review and meta-analysis confirmed that VR balance training is a highly effective means to improve balance performance with large effects in PD. In addition, we preliminarily extracted dose-effect relationships for training volume, informing clinicians and practitioners to design effective VR balance training for balance ability. Further research is needed to reveal optimal dose-response relationships following VR balance training.
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spelling pubmed-89247772022-03-17 Benefits of Virtual Reality Balance Training for Patients With Parkinson Disease: Systematic Review, Meta-analysis, and Meta-Regression of a Randomized Controlled Trial Wu, Jinlong Zhang, Hui Chen, Ziyan Fu, Ruijia Yang, Hao Zeng, Hongfa Ren, Zhanbing JMIR Serious Games Review BACKGROUND: Virtual reality (VR) balance training is increasingly being pursued in biomedical research, specifically with respect to investigating balance ability with VR. However, existing systematic reviews have found inconsistent conclusions about the efficacy of VR in improving balance in Parkinson disease (PD) patients. OBJECTIVE: The goal of the research was to evaluate the impact of VR balance training on the balance ability of patients with PD. METHODS: All major databases, including Web of Science, PubMed, Scopus, China National Knowledge Infrastructure, and Wanfang, were searched to identify all relevant studies published in English or Chinese since September 15, 2010. Two researchers independently conducted document retrieval, study selection, data extraction, and methodological quality evaluation. RESULTS: A total of 16 randomized controlled trials were analyzed (n=583 patients with PD), with the methodological quality evaluation score ranging from 5 to 8 points. A random effects model was selected to combine effect sizes. Meta-analysis showed that the balance ability of PD was significantly improved after VR training compared with the control group (standardized mean difference [SMD] 2.127, 95% CI 1.202 to 3.052, P<.001, I(2)=95.1, df=15). It is worth noting that the intervention platform may be the main reason for heterogeneity. Meta regression analysis showed that no training program could predict the impact of VR training (P=.57 to .94) on PD balance ability. Subgroup result showed that a single training time of 0 to 20 minutes (SMD 6.446), 4 to 6 times per week (SMD 4.067), training for 3 to 5 weeks (SMD 62.478), training course reached more than 30 times (SMD 4.405), and 201 to 300 minutes per week (SMD 4.059) maybe have more benefit. CONCLUSIONS: A systematic review and meta-analysis confirmed that VR balance training is a highly effective means to improve balance performance with large effects in PD. In addition, we preliminarily extracted dose-effect relationships for training volume, informing clinicians and practitioners to design effective VR balance training for balance ability. Further research is needed to reveal optimal dose-response relationships following VR balance training. JMIR Publications 2022-03-01 /pmc/articles/PMC8924777/ /pubmed/35230242 http://dx.doi.org/10.2196/30882 Text en ©Jinlong Wu, Hui Zhang, Ziyan Chen, Ruijia Fu, Hao Yang, Hongfa Zeng, Zhanbing Ren. Originally published in JMIR Serious Games (https://games.jmir.org), 01.03.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Serious Games, is properly cited. The complete bibliographic information, a link to the original publication on https://games.jmir.org, as well as this copyright and license information must be included.
spellingShingle Review
Wu, Jinlong
Zhang, Hui
Chen, Ziyan
Fu, Ruijia
Yang, Hao
Zeng, Hongfa
Ren, Zhanbing
Benefits of Virtual Reality Balance Training for Patients With Parkinson Disease: Systematic Review, Meta-analysis, and Meta-Regression of a Randomized Controlled Trial
title Benefits of Virtual Reality Balance Training for Patients With Parkinson Disease: Systematic Review, Meta-analysis, and Meta-Regression of a Randomized Controlled Trial
title_full Benefits of Virtual Reality Balance Training for Patients With Parkinson Disease: Systematic Review, Meta-analysis, and Meta-Regression of a Randomized Controlled Trial
title_fullStr Benefits of Virtual Reality Balance Training for Patients With Parkinson Disease: Systematic Review, Meta-analysis, and Meta-Regression of a Randomized Controlled Trial
title_full_unstemmed Benefits of Virtual Reality Balance Training for Patients With Parkinson Disease: Systematic Review, Meta-analysis, and Meta-Regression of a Randomized Controlled Trial
title_short Benefits of Virtual Reality Balance Training for Patients With Parkinson Disease: Systematic Review, Meta-analysis, and Meta-Regression of a Randomized Controlled Trial
title_sort benefits of virtual reality balance training for patients with parkinson disease: systematic review, meta-analysis, and meta-regression of a randomized controlled trial
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924777/
https://www.ncbi.nlm.nih.gov/pubmed/35230242
http://dx.doi.org/10.2196/30882
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