{"title":"机器人辅助训练对帕金森病康复结果的作用:一项系统综述和荟萃分析。","authors":"Yanmin Tao, Jingsong Luo, Jing Tian, Sihan Peng, Hongyan Wang, Jun Cao, Zhifei Wen, Xiangeng Zhang","doi":"10.1080/09638288.2023.2266178","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The study aims to assess the efficacy of robot-assisted rehabilitation training on upper and lower limb motor function and fatigue in Parkinson's disease (PD), and to explore the best-acting robotic rehabilitation program.</p><p><strong>Methods: </strong>We searched studies in seven databases and the search period was from the build to 30 June 2023. Two researchers independently screened studies and assessed the quality of the studies for data extraction.</p><p><strong>Results: </strong>A total of 21 studies were included, 18 studies related to lower limbs rehabilitation and 3 studies related to upper limbs rehabilitation, involving a total of 787 participants. The results showed that robot-assisted rehabilitation significantly improved indicators of lower limb motor function UPDRS Part III (WMD = -3.58, 95% CI = -5.91 to -1.25, <i>p</i> = 0.003) and BBS (WMD = 4.24, 95% CI = 2.88 to 5.54, <i>p</i> < 0.001), as well as non-motor symptoms of fatigue (WMD = -13.39, 95% CI = -17.92 to -8.86, <i>p</i> < 0.001) in PD patients. At the level of upper limb function, there was no statistically significant difference in the outcome measures of PFS (WMD = -0.25, 95% CI = -4.44 to 3.93, <i>p</i> = 0.9) and BBT (WMD = 1.73, 95% CI = -2.85 to 6.33, <i>p</i> = 0.458).</p><p><strong>Conclusion: </strong>Robot-assisted rehabilitation significantly improved motor function, fatigue, and balance confidence in PD patients, but current evidence doesn't show that intelligent rehabilitation systems improve upper limb function. In particular, robotics combined with virtual reality worked best.</p>","PeriodicalId":50575,"journal":{"name":"Disability and Rehabilitation","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The role of robot-assisted training on rehabilitation outcomes in Parkinson's disease: a systematic review and meta-analysis.\",\"authors\":\"Yanmin Tao, Jingsong Luo, Jing Tian, Sihan Peng, Hongyan Wang, Jun Cao, Zhifei Wen, Xiangeng Zhang\",\"doi\":\"10.1080/09638288.2023.2266178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The study aims to assess the efficacy of robot-assisted rehabilitation training on upper and lower limb motor function and fatigue in Parkinson's disease (PD), and to explore the best-acting robotic rehabilitation program.</p><p><strong>Methods: </strong>We searched studies in seven databases and the search period was from the build to 30 June 2023. Two researchers independently screened studies and assessed the quality of the studies for data extraction.</p><p><strong>Results: </strong>A total of 21 studies were included, 18 studies related to lower limbs rehabilitation and 3 studies related to upper limbs rehabilitation, involving a total of 787 participants. The results showed that robot-assisted rehabilitation significantly improved indicators of lower limb motor function UPDRS Part III (WMD = -3.58, 95% CI = -5.91 to -1.25, <i>p</i> = 0.003) and BBS (WMD = 4.24, 95% CI = 2.88 to 5.54, <i>p</i> < 0.001), as well as non-motor symptoms of fatigue (WMD = -13.39, 95% CI = -17.92 to -8.86, <i>p</i> < 0.001) in PD patients. At the level of upper limb function, there was no statistically significant difference in the outcome measures of PFS (WMD = -0.25, 95% CI = -4.44 to 3.93, <i>p</i> = 0.9) and BBT (WMD = 1.73, 95% CI = -2.85 to 6.33, <i>p</i> = 0.458).</p><p><strong>Conclusion: </strong>Robot-assisted rehabilitation significantly improved motor function, fatigue, and balance confidence in PD patients, but current evidence doesn't show that intelligent rehabilitation systems improve upper limb function. In particular, robotics combined with virtual reality worked best.</p>\",\"PeriodicalId\":50575,\"journal\":{\"name\":\"Disability and Rehabilitation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Disability and Rehabilitation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/09638288.2023.2266178\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/10/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"REHABILITATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Disability and Rehabilitation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/09638288.2023.2266178","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/11 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"REHABILITATION","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究旨在评估机器人辅助康复训练对帕金森病患者上下肢运动功能和疲劳的影响,并探索最佳的机器人康复方案。方法:我们在7个数据库中搜索研究,搜索期为2023年6月30日。两名研究人员对研究进行了独立筛选,并评估了数据提取研究的质量。结果:共纳入21项研究,其中18项与下肢康复有关,3项与上肢康复有关,共涉及787名参与者。结果表明,机器人辅助康复显著改善了下肢运动功能指标UPDRS第三部分(WMD = -3.58,95%CI = -5.91至-1.25,p = 0.003)和BBS(WMD=4.24,95%CI=2.88-5.54,p p p = 0.9)和BBT(WMD=1.73,95%置信区间 = -2.85至6.33,p = 结论:机器人辅助康复显著改善了帕金森病患者的运动功能、疲劳和平衡信心,但目前没有证据表明智能康复系统能改善上肢功能。特别是,机器人与虚拟现实相结合的效果最好。
The role of robot-assisted training on rehabilitation outcomes in Parkinson's disease: a systematic review and meta-analysis.
Purpose: The study aims to assess the efficacy of robot-assisted rehabilitation training on upper and lower limb motor function and fatigue in Parkinson's disease (PD), and to explore the best-acting robotic rehabilitation program.
Methods: We searched studies in seven databases and the search period was from the build to 30 June 2023. Two researchers independently screened studies and assessed the quality of the studies for data extraction.
Results: A total of 21 studies were included, 18 studies related to lower limbs rehabilitation and 3 studies related to upper limbs rehabilitation, involving a total of 787 participants. The results showed that robot-assisted rehabilitation significantly improved indicators of lower limb motor function UPDRS Part III (WMD = -3.58, 95% CI = -5.91 to -1.25, p = 0.003) and BBS (WMD = 4.24, 95% CI = 2.88 to 5.54, p < 0.001), as well as non-motor symptoms of fatigue (WMD = -13.39, 95% CI = -17.92 to -8.86, p < 0.001) in PD patients. At the level of upper limb function, there was no statistically significant difference in the outcome measures of PFS (WMD = -0.25, 95% CI = -4.44 to 3.93, p = 0.9) and BBT (WMD = 1.73, 95% CI = -2.85 to 6.33, p = 0.458).
Conclusion: Robot-assisted rehabilitation significantly improved motor function, fatigue, and balance confidence in PD patients, but current evidence doesn't show that intelligent rehabilitation systems improve upper limb function. In particular, robotics combined with virtual reality worked best.
期刊介绍:
Disability and Rehabilitation along with Disability and Rehabilitation: Assistive Technology are international multidisciplinary journals which seek to encourage a better understanding of all aspects of disability and to promote rehabilitation science, practice and policy aspects of the rehabilitation process.