Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/109140
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dc.contributorDepartment of Rehabilitation Sciences-
dc.creatorYu, J-
dc.creatorWu, J-
dc.creatorLu, J-
dc.creatorWei, X-
dc.creatorZheng, K-
dc.creatorLiu, B-
dc.creatorXiao, W-
dc.creatorShi, Q-
dc.creatorXiong, L-
dc.creatorRen, Z-
dc.date.accessioned2024-09-19T03:13:34Z-
dc.date.available2024-09-19T03:13:34Z-
dc.identifier.urihttp://hdl.handle.net/10397/109140-
dc.language.isoenen_US
dc.publisherBioMed Centralen_US
dc.rights© The Author(s) 2023.en_US
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_US
dc.rightsThe following publication Yu, J., Wu, J., Lu, J. et al. Efficacy of virtual reality training on motor performance, activity of daily living, and quality of life in patients with Parkinson's disease: an umbrella review comprising meta-analyses of randomized controlled trials. J NeuroEngineering Rehabil 20, 133 (2023) is available at https://doi.org/10.1186/s12984-023-01256-y.en_US
dc.subjectActivity of daily livingen_US
dc.subjectMotor performanceen_US
dc.subjectParkinson's diseaseen_US
dc.subjectQuality of lifeen_US
dc.subjectVirtual reality trainingen_US
dc.titleEfficacy of virtual reality training on motor performance, activity of daily living, and quality of life in patients with Parkinson's disease : an umbrella review comprising meta-analyses of randomized controlled trialsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume20-
dc.identifier.doi10.1186/s12984-023-01256-y-
dcterms.abstractObjective: There are several meta-analyses of randomized controlled trials (RCTs) demonstrating the benefits of virtual reality (VR) training as an intervention for motor performance, activity of daily living (ADL) and quality of life (QoL) outcomes in patients with Parkinson's disease (PD). However, the aggregate evidence collected to date has not been thoroughly evaluated for strength, quality, and reproducibility. An umbrella review from published meta-analyses of RCTs was conducted to evaluate the strength and quality of existing evidence regarding the efficacy of VR training in improving the motor performance, ADL and QoL outcomes of patients with PD.-
dcterms.abstractMethods: PubMed, PsychInfo, Web of Science, and Scopus were searched to identify relevant meta-analysis of RCTs examining the effects of VR training on motor performance and quality of life outcomes in PD patients. We recalculated the effect sizes (Hedges’g) for VR training using DerSimonian and Laird (DL) random effects models. We further assessed between-study heterogeneity, prediction interval (PI), publication bias, small-size studies, and whether the results of the observed positive studies were better than would be expected by chance. Based on these calculations, the quality of evidence for each outcome was assessed by using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria.-
dcterms.abstractResults: Four meta-analysis with eight outcomes included in the umbrella review was recalculated effect size. Pooled results found VR training can large improve the basic balance ability, moderate improve the overall balance capacity and moderate improve the stride length in PD patients. For ADL and QoL, the effect sizes were pooled that suggested VR training can moderate improve ADL and QoL for PD patients. However, no statistically clear evidence was found in walking speed, motor function and gait function during VR training. The analyzed meta-analyses showed low-to-moderate methodological quality (AMSTAR2) as well as presented evidence of moderate-to-very low quality (GRADE). Tow adverse reactions were reported in the included meta-analyses.-
dcterms.abstractConclusions: In this umbrella review, a beneficial correlation between VR and balance ability, stride length, ADL and QoL in PD patients was discovered, especially for the very positive effect of VR on balance because of two of the eight outcomes related to balance ability showed large effect size. The observations were accompanied by moderate- to very low-quality rating evidence, supporting VR training as a practical approach to rehabilitation.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of neuroEngineering and rehabilitation, 2023, v. 20, 133-
dcterms.isPartOfJournal of neuroEngineering and rehabilitation-
dcterms.issued2023-
dc.identifier.scopus2-s2.0-85173566026-
dc.identifier.pmid37777748-
dc.identifier.eissn1743-0003-
dc.identifier.artn133-
dc.description.validate202409 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextResearch Foundation for Young Teacher of Shenzhen University; High-level Scientific Research Foundation for the Introduction of Talent of Shenzhen University; Natural Science Featured Innovation Projects in Ordinary Universities in Guangdong Province; Scientific Research Platform and Project of Colleges and Universities of Education Department of Guangdong Provinceen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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