中国组织工程研究

中国组织工程研究 ›› 2026, Vol. 30 ›› Issue (16): 4219-4228.doi: 10.12307/2026.710

• 组织构建循证医学 evidence-based medicine in tissue construction • 上一篇    下一篇

机器人辅助步态训练干预脑卒中患者下肢运动功能的网状Meta分析

高  赞1，刘艺轩2，张力陈1，侯  兵1，唐亚蕾1，李淑美1，车鹏程1，窦  娜1   

  1. 华北理工大学，1护理与康复学院，2应急管理与安全工程学院，河北省唐山市  063210
  • 收稿日期:2025-07-29 接受日期:2025-08-27 出版日期:2026-06-08 发布日期:2025-11-28
  • 通讯作者: 窦娜，硕士，副教授，华北理工大学护理与康复学院，河北省唐山市 063210 并列通讯作者：车鹏程，教授，华北理工大学护理与康复学院，河北省唐山市 063210
  • 作者简介:第一作者：高赞，女，1998年生，河南省周口市人，汉族，华北理工大学在读硕士，主要从事神经康复方向研究。 并列第一作者：刘艺轩，女，2006年生，河北省唐山市人，汉族，华北理工大学应急管理与安全工程学院在读本科生。
  • 基金资助:
    河北省2024年度医学科学研究课题(20240161)，项目负责人：窦娜；河北省康复工程与再生医学重点实验室(SZX202327)，项目负责人：车鹏程；河北省“机器人+”应用“揭榜挂帅”项目，项目负责人：车鹏程

Network meta-analysis of robot-assisted gait training interventions on lower limb motor function in stroke patients

Gao Zan1, Liu Yixuan2, Zhang Lichen1, Hou Bing1, Tang Yalei1, Li Shumei1, Che Pengcheng1, Dou Na1   

  1. 1College of Nursing and Rehabilitation, 2School of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan 063210, Hebei Province, China
  • Received:2025-07-29 Accepted:2025-08-27 Online:2026-06-08 Published:2025-11-28
  • Contact: Dou Na, MS, Associate professor, College of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan 063210, Hebei Province, China Co-corresponding author: Che Pengcheng, Professor, College of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan 063210, Hebei Province, China
  • About author:Gao Zan, MS candidate, College of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan 063210, Hebei Province, China Liu Yixuan, School of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan 063210, Hebei Province, China Gao Zan and Liu Yixuan contributed equally to this work.
  • Supported by:
    Hebei Provincial Medical Science Research Project in 2024, No. 20240161 (to DN); Hebei Provincial Key Laboratory of Rehabilitation Engineering and Regenerative Medicine, No. SZX202327 (to CPC); Hebei Provincial “Robot+” Application “Best Candidate” Project (to CPC)

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摘要：


文题释义：
机器人辅助步态训练：是一种通过机器人技术模拟正常步态模式，帮助神经损伤或运动功能障碍患者恢复步行能力的康复干预手段。
脑卒中：俗称“中风”，是一种急性脑血管疾病，因脑血管突发破裂或阻塞导致大脑缺血缺氧，引发神经和肢体功能障碍。

目的：通过网状Meta分析系统评估机器人辅助步态训练对脑卒中患者下肢运动功能的康复效果，并整合运动时间、频率、周期、减重方案等研究证据分析最佳的运动处方方案。
方法：计算机检索PubMed、Web of Science、Cochrane Library、Embase、中国知网、维普、万方及SinoMed数据库，收集自各数据库建库至2025年1月发表的相关随机对照试验，对比机器人辅助步态训练(机器人组)与传统康复训练(对照组)对脑卒中患者下肢功能的干预效果，并基于循证医学证据优化单次训练时长、每周训练频率及总干预周期的运动处方参数。采用Review Manager 5.4.1软件完成数据整合与分析，并通过Stata 17.0软件绘制相关图表，以直观呈现研究结果。
结果：①最终纳入22篇文献，共998例患者，包括对照组492例、机器人组506例。②Meta分析结果显示：相较于常规康复训练，机器人辅助步态训练能够有效改善脑卒中患者下肢运动功能FMA-LE评分、平衡能力量表评分、功能性步行量表评分及6 min步行试验评分(P < 0.05)。③基于累积排序概率曲线分析的结果显示，在改善下肢运动功能方面基于FMA-LE评分，干预方案最佳效果为：单次训练时长40-60 min，每周训练频次6-10次和持续干预周期8-12周。
结论：系统分析表明，机器人辅助步态训练能有效促进脑卒中患者下肢运动功能、步行能力、平衡功能和步行耐力的改善；采用单次40-60 min、每周6-10次、持续8-12周的训练方案时，患者下肢运动功能FMA-LE评分的改善效果最为显著。                                  https://orcid.org/0009-0000-6564-7102(高赞)；https://orcid.org/0009-0003-3660-2708(刘艺轩)

中国组织工程研究杂志出版内容重点：干细胞；骨髓干细胞；造血干细胞；脂肪干细胞；肿瘤干细胞；胚胎干细胞；脐带脐血干细胞；干细胞诱导；干细胞分化；组织工程

关键词: 脑卒中, 机器人辅助步态训练, 下肢运动功能, 网状Meta分析, 运动处方

Abstract: OBJECTIVE: To conduct a network meta-analysis to systematically evaluate the rehabilitation effects of robot-assisted gait training on lower limb motor function in stroke patients, and to optimize exercise prescriptions based on research evidence regarding exercise time, frequency, cycle, and weight loss plan.
METHODS: A computerized literature search was conducted using the PubMed, Web of Science, Cochrane Library, Embase, CNKI, VIP, Wanfang, and SinoMed databases to identify randomized controlled trials published from inception until January 2025. The intervention effects of robot assisted gait training (robot group) and traditional rehabilitation training (control group) on lower limb function in stroke patients were compared, and the exercise prescription parameters for single training duration, weekly training frequency, and total intervention period were optimized based on evidence-based medicine. Data integration and analysis were performed using Review Manager 5.4.1 software, and related charts were created with Stata 17.0 software to visually present the results of the study. 
RESULTS: (1) A total of 22 articles were finally included, with a total of 998 patients, including 492 in the control group and 506 in the robot group. (2) The meta-analysis results showed that compared with conventional rehabilitation training, robot assisted gait training effectively improved the lower limb motor function in stroke patients, as measured by the Fugl-Meyer Assessment of Lower Extremity score, Berg Balance Scale score, Functional Ambulation Category Scale score, and 6-minute walk test score (P < 0.05). (3) The results from the cumulative ranking probability curve analysis showed that the optimal exercise prescription for improving lower limb motor function based on Fugl-Meyer Assessment of Lower Extremity score was single training duration of 40-60 minutes, weekly training frequency of 6-10 times, and continuous intervention period of 8-12 weeks. 
CONCLUSION: The meta-analysis shows that robot assisted gait training effectively promotes the improvement of lower limb motor function, walking ability, balance function, and walking endurance in stroke patients. The most significant improvement in the Fugl-Meyer Assessment of Lower Extremity score of lower limb motor function in stroke patients occurs when an exercise prescription of 40-60 minutes per session, 6-10 times per week, and lasting 8-12 weeks is used.


Key words: stroke, robot assisted gait training, lower limb motor function, network meta-analysis, exercise prescription

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