Optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke: A systematic review and Bayesian network meta-analysis of randomized controlled trials.

<h4>Objective</h4>To compare the treatment effect of five electrical stimulation methods commonly used in the treatment of stroke patients with lower limb dysfunction.<h4>Methods</h4>We implemented a systematic search of 3915 studies published up to January 2023 from eight da...

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Main Authors: Yu Fang, Jiang Li, Shanyu Liu, Yan Wang, Jiaming Li, Dongdong Yang, Qiaoling Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0285523&type=printable
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author Yu Fang
Jiang Li
Shanyu Liu
Yan Wang
Jiaming Li
Dongdong Yang
Qiaoling Wang
author_facet Yu Fang
Jiang Li
Shanyu Liu
Yan Wang
Jiaming Li
Dongdong Yang
Qiaoling Wang
author_sort Yu Fang
collection DOAJ
description <h4>Objective</h4>To compare the treatment effect of five electrical stimulation methods commonly used in the treatment of stroke patients with lower limb dysfunction.<h4>Methods</h4>We implemented a systematic search of 3915 studies published up to January 2023 from eight databases and two clinical trial registries. First, two independent reviewers critically evaluated trial eligibility according to the inclusion and exclusion criteria. Next, they selected and extracted data. Then, they assessed the risk of bias. Pairwise meta-analysis and Bayesian network meta-analysis were conducted to estimate the effectiveness and ranking of the five electrical stimulation methods.<h4>Results</h4>A total of 33 trials with a final total of 2246 subjects were included in the analysis. By combining the comprehensive Rehabilitation Treatment (RT), the treatment effects of using five electrical stimulation methods were surperior to those of using RT only. In the meantime, RT+transcranial Direct Current Stimulation(tDCS) and RT+Functional Electrical Stimulation(FES) could be the optimal electric stimulation schemes for restoring lower limb motor function(SMD 8.35, 95%CI [3.05, 13.34]/ SMD 5.64, 95%CI [3.68, 7.56]), improving balance (SMD 9.80, 95%CI [0.67, 20.93]/ SMD 6.54, 95%CI [3.85, 10.95]) and activities of daily living(SMD 18.95, 95%CI [0.401, 36.9]/ SMD 15.47, 95%CI [7.89, 22.75]), and the treatment effects would be even better using RT+FES+tDCS combination.<h4>Conclusion</h4>tDCS and FES superior to other electrical stimulation methods based on RT in the treatment of lower limb dysfunction after stroke.
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spelling doaj-art-76c5ddaf10e14e1a849357b63d5fc3132025-08-20T03:13:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01185e028552310.1371/journal.pone.0285523Optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke: A systematic review and Bayesian network meta-analysis of randomized controlled trials.Yu FangJiang LiShanyu LiuYan WangJiaming LiDongdong YangQiaoling Wang<h4>Objective</h4>To compare the treatment effect of five electrical stimulation methods commonly used in the treatment of stroke patients with lower limb dysfunction.<h4>Methods</h4>We implemented a systematic search of 3915 studies published up to January 2023 from eight databases and two clinical trial registries. First, two independent reviewers critically evaluated trial eligibility according to the inclusion and exclusion criteria. Next, they selected and extracted data. Then, they assessed the risk of bias. Pairwise meta-analysis and Bayesian network meta-analysis were conducted to estimate the effectiveness and ranking of the five electrical stimulation methods.<h4>Results</h4>A total of 33 trials with a final total of 2246 subjects were included in the analysis. By combining the comprehensive Rehabilitation Treatment (RT), the treatment effects of using five electrical stimulation methods were surperior to those of using RT only. In the meantime, RT+transcranial Direct Current Stimulation(tDCS) and RT+Functional Electrical Stimulation(FES) could be the optimal electric stimulation schemes for restoring lower limb motor function(SMD 8.35, 95%CI [3.05, 13.34]/ SMD 5.64, 95%CI [3.68, 7.56]), improving balance (SMD 9.80, 95%CI [0.67, 20.93]/ SMD 6.54, 95%CI [3.85, 10.95]) and activities of daily living(SMD 18.95, 95%CI [0.401, 36.9]/ SMD 15.47, 95%CI [7.89, 22.75]), and the treatment effects would be even better using RT+FES+tDCS combination.<h4>Conclusion</h4>tDCS and FES superior to other electrical stimulation methods based on RT in the treatment of lower limb dysfunction after stroke.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0285523&type=printable
spellingShingle Yu Fang
Jiang Li
Shanyu Liu
Yan Wang
Jiaming Li
Dongdong Yang
Qiaoling Wang
Optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke: A systematic review and Bayesian network meta-analysis of randomized controlled trials.
PLoS ONE
title Optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke: A systematic review and Bayesian network meta-analysis of randomized controlled trials.
title_full Optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke: A systematic review and Bayesian network meta-analysis of randomized controlled trials.
title_fullStr Optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke: A systematic review and Bayesian network meta-analysis of randomized controlled trials.
title_full_unstemmed Optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke: A systematic review and Bayesian network meta-analysis of randomized controlled trials.
title_short Optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke: A systematic review and Bayesian network meta-analysis of randomized controlled trials.
title_sort optimization of electrical stimulation for the treatment of lower limb dysfunction after stroke a systematic review and bayesian network meta analysis of randomized controlled trials
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0285523&type=printable
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