The efficacy of exoskeleton robotic training on ambulation recovery in patients with spinal cord injury: A meta-analysis.

IF 1.8 4区 医学 Q3 CLINICAL NEUROLOGY Journal of Spinal Cord Medicine Pub Date : 2024-11-01 Epub Date: 2023-08-03 DOI:10.1080/10790268.2023.2214482
Wentan Liu, Jianer Chen
{"title":"The efficacy of exoskeleton robotic training on ambulation recovery in patients with spinal cord injury: A meta-analysis.","authors":"Wentan Liu, Jianer Chen","doi":"10.1080/10790268.2023.2214482","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> To discuss the efficacy of exoskeleton robotic training on ambulation recovery in patients with spinal cord injury (SCI).<b>Methods:</b> PubMed, Embase, and Cochrane Central Register of Controlled Trials were searched systematically from their inception to April 2022 for studies on exoskeleton robotic training in patients with SCI. The language was restricted to English. The retrieved studies were screened to select eligible clinical trials. Meta-analysis was performed using Review Manager 5.4.<b>Results:</b> Eleven randomized clinical trials (RCTs) involving 456 participants were included in the meta-analysis. The results of the meta-analysis showed that exoskeleton robotic training was more effective in improving FIM [SMD = 0.58, 95%CI = (0.07, 1.10), <i>P</i> = 0.03], LEMS [MD = 4.64, 95%CI = (3.58, 5.70), <i>P</i><0.05], MAS [MD = 0.76, 95%CI = (0.48, 1.03), <i>P</i><0.05] and BBS [MD = -3.11, 95%CI =  (-12.59, 6.36), <i>P</i><0.05] in patients with SCI, compared to conventional gait training(CGT). Subgroup analysis showed that the exoskeleton robotic could significantly improve the walking endurance and walking speed of patients with a duration of injury within 6 months. The sensitivity of inverted funnel plot analysis is low, suggesting that the analysis results of this study are relatively stable.<b>Conclusion:</b> Exoskeleton robotic training improves ambulation in patients with SCI, especially for patients with a course of injury within six months.</p>","PeriodicalId":50044,"journal":{"name":"Journal of Spinal Cord Medicine","volume":" ","pages":"840-849"},"PeriodicalIF":1.8000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11533256/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Spinal Cord Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10790268.2023.2214482","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/3 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To discuss the efficacy of exoskeleton robotic training on ambulation recovery in patients with spinal cord injury (SCI).Methods: PubMed, Embase, and Cochrane Central Register of Controlled Trials were searched systematically from their inception to April 2022 for studies on exoskeleton robotic training in patients with SCI. The language was restricted to English. The retrieved studies were screened to select eligible clinical trials. Meta-analysis was performed using Review Manager 5.4.Results: Eleven randomized clinical trials (RCTs) involving 456 participants were included in the meta-analysis. The results of the meta-analysis showed that exoskeleton robotic training was more effective in improving FIM [SMD = 0.58, 95%CI = (0.07, 1.10), P = 0.03], LEMS [MD = 4.64, 95%CI = (3.58, 5.70), P<0.05], MAS [MD = 0.76, 95%CI = (0.48, 1.03), P<0.05] and BBS [MD = -3.11, 95%CI =  (-12.59, 6.36), P<0.05] in patients with SCI, compared to conventional gait training(CGT). Subgroup analysis showed that the exoskeleton robotic could significantly improve the walking endurance and walking speed of patients with a duration of injury within 6 months. The sensitivity of inverted funnel plot analysis is low, suggesting that the analysis results of this study are relatively stable.Conclusion: Exoskeleton robotic training improves ambulation in patients with SCI, especially for patients with a course of injury within six months.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
外骨骼机器人训练对脊髓损伤患者行走恢复的疗效:荟萃分析
目的:探讨外骨骼机器人训练对脊髓损伤(SCI)患者行走恢复的效果:探讨外骨骼机器人训练对脊髓损伤(SCI)患者行走恢复的疗效:方法:系统检索了 PubMed、Embase 和 Cochrane Central Register of Controlled Trials 从开始到 2022 年 4 月期间有关 SCI 患者外骨骼机器人训练的研究。语言仅限于英语。对检索到的研究进行筛选,选出符合条件的临床试验。使用Review Manager 5.4进行元分析:荟萃分析纳入了 11 项随机临床试验 (RCT),涉及 456 名参与者。外骨骼机器人训练可改善 SCI 患者的行走能力,尤其是受伤时间在 6 个月以内的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Spinal Cord Medicine
Journal of Spinal Cord Medicine 医学-临床神经学
CiteScore
4.20
自引率
5.90%
发文量
101
审稿时长
6-12 weeks
期刊介绍: For more than three decades, The Journal of Spinal Cord Medicine has reflected the evolution of the field of spinal cord medicine. From its inception as a newsletter for physicians striving to provide the best of care, JSCM has matured into an international journal that serves professionals from all disciplines—medicine, nursing, therapy, engineering, psychology and social work.
期刊最新文献
Adaptation of the German language version of the QUAlity of life assessment of spina bifida for adults (QUALAS-A-G). Gait recovery in patients with late assessment of incomplete spinal cord injury: A retrospective study in Argentina. Heavy moxibustion at Sanyin point ameliorates neurogenic bladder dysfunction in spinal cord injury rats through the PI3 K/mTOR pathway. Osteoporosis and osteopenia in young adults with spinal cord injury: The necessity of an early bone mineral density checkup. Evolution of the Veterans Health Administration Spinal Cord Injuries and Disorders (SCI/D) Registry (VHA SCIDR): Characterization from 1994 to 2022.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1