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机器人辅助的任务导向训练干预对中风患者上肢及日常生活技能的有效性:一项荟萃分析。

Effectiveness of robot-assisted task-oriented training intervention for upper limb and daily living skills in stroke patients: A meta-analysis.

作者信息

Jin Chengzhu, Chen Yonghuan, Ma Yuanyuan

机构信息

Physical education College, Yanbian University, Yanji, China.

Department of Marine Sports, Pukyong National University, Busan, South Korea.

出版信息

PLoS One. 2025 Jan 3;20(1):e0316633. doi: 10.1371/journal.pone.0316633. eCollection 2025.

Abstract

PURPOSE

Stroke is one of the leading causes of acquired disability in adults in high-income countries. This study aims to determine the intervention effects of robot-assisted task-oriented training on enhancing the upper limb function and daily living skills of stroke patients.

METHODS

A systematic search was conducted across PubMed, China National Knowledge Infrastructure, Web of Science, Cochrane Library, Embase, and Scopus databases through March 1, 2024. This process yielded 1,649 articles, from which 15 studies with 574 samples met the inclusion criteria for analysis. The quality of the included studies was evaluated using the Cochrane Risk of Bias tool. We performed meta-analyses, subgroup analyses, regression analyses, and sensitivity analyses using Review Manager 5.4 and Stata 17.0. Furthermore, publication bias was assessed using Begg's and Egger's tests. This study is registered with PROSPERO (No. CRD42024513483).

RESULTS

A random effects model was utilized. The results indicated that robot-assisted task-oriented training significantly improved Fugl-Meyer Assessment-Upper Extremity scores compared to the control group [SMD = 1.01, 95% CI (0.57, 1.45)]. Similarly, robot-assisted task-oriented training demonstrated a significant effect on the Modified Barthel Index scores [SMD = 0.61, 95% CI (0.41, 0.82)]. Subgroup and regression analyses revealed that the use of combined interventions, the geographical region of the first author, and the age of the subjects did not appear to be sources of high heterogeneity. Publication bias tests using the FMA-UE as an outcome measure yielded Begg's test (p = 0.76) and Egger's test (p = 0.93), suggesting no significant publication bias. Sensitivity analyses confirmed the robustness of the study findings.

CONCLUSIONS

Robot-assisted task-oriented training significantly enhances the rehabilitation of upper limb function and the recovery of daily living skills in stroke patients.

摘要

目的

在高收入国家,中风是成年人后天残疾的主要原因之一。本研究旨在确定机器人辅助的任务导向训练对提高中风患者上肢功能和日常生活技能的干预效果。

方法

截至2024年3月1日,在PubMed、中国知网、科学网、考克兰图书馆、Embase和Scopus数据库中进行了系统检索。该过程共检索到1649篇文章,其中15项研究(574个样本)符合纳入分析的标准。使用考克兰偏倚风险工具评估纳入研究的质量。我们使用Review Manager 5.4和Stata 17.0进行了荟萃分析、亚组分析、回归分析和敏感性分析。此外,使用Begg检验和Egger检验评估发表偏倚。本研究已在国际前瞻性注册系统(注册号:CRD42024513483)注册。

结果

采用随机效应模型。结果表明,与对照组相比,机器人辅助的任务导向训练显著提高了Fugl-Meyer上肢评估得分[标准化均数差(SMD)=1.01,95%置信区间(CI)(0.57,1.45)]。同样,机器人辅助的任务导向训练对改良巴氏指数得分也有显著影响[SMD = 0.61,95% CI(0.41,0.82)]。亚组分析和回归分析显示,联合干预措施的使用、第一作者所在的地理区域以及受试者的年龄似乎并非高异质性的来源。以FMA-UE作为结果指标的发表偏倚检验得出Begg检验(p = 0.76)和Egger检验(p = 0.93),表明无显著发表偏倚。敏感性分析证实了研究结果的稳健性。

结论

机器人辅助的任务导向训练显著增强了中风患者上肢功能的康复和日常生活技能的恢复。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c77a/11698451/f313ac53ea63/pone.0316633.g001.jpg

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