Evidence map›Paper›PMID 35892319›Full record

Trial reportJournal of rehabilitation medicine2022

Comparative Effectiveness of Robot-Assisted Training Versus Enhanced Upper Extremity Therapy on Upper and Lower Extremity for Stroke Survivors: A Multicentre Randomized Controlled Trial.

Yingnan Lin, Qin-Ying Li, Qingming Qu, Li Ding, Zhen Chen, Fubiao Huang, Shihong Hu, Wei Deng, Fengxian Guo, Chuankai Wang and 6 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of rehabilitation medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Yingnan LinDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Qin-Ying LiDepartment of Rehabilitation Medicine, Jing'an District Centre Hospital of Shanghai, Fudan University, Shanghai, China.
Qingming QuDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Li DingDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Zhen ChenNeurorehabilitation Centre, First Rehabilitation Hospital of Shanghai/Affiliated Hospital of Tongji University (preparation), Shanghai, China.
Fubiao HuangDepartment of Occupational Therapy, China Rehabilitation Research Center, Beijing, China.
Shihong HuDepartment of Rehabilitation Medicine, Shanghai Fifth People's Hospital, Shanghai, China.
Wei DengDepartment of Biostatistics, School of Public Health, Fudan University, Shanghai, China.
Fengxian GuoShanghai Electric GeniKIT Medical Science and Technology Co. Ltd, Shanghai, China.
Chuankai WangDepartment of Rehabilitation Medicine, South China Hospital, Health Science Center, Shenzhen, China.
Panmo DengDepartment of Rehabilitation Medicine, Jing'an District Centre Hospital of Shanghai, Fudan University, Shanghai, China.
Li LiDepartment of Rehabilitation Medicine, Jing'an District Centre Hospital of Shanghai, Fudan University, Shanghai, China.
Hao JinDepartment of Rehabilitation Medicine, Jing'an District Centre Hospital of Shanghai, Fudan University, Shanghai, China.
Cong GaoDepartment of Rehabilitation Medicine, Jing'an District Centre Hospital of Shanghai, Fudan University, Shanghai, China.
Beibei ShuDepartment of Rehabilitation Medicine, Jing'an District Centre Hospital of Shanghai, Fudan University, Shanghai, China.
Jie JiaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China; National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China. shannonjj@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRobot-assisted neuro-rehabilitation therapy plays a central role in upper extremity recovery of stroke. However, the efficacy of robotic training on the upper extremity is not yet well defined, and little attention has been devoted to its potential effect on the lower extremity. The aim of this study was to compare the efficacy of robot-assisted training and therapist-mediated enhanced upper extremity therapy on the upper and lower extremities.

methodsA randomized clinical trial involving 172 stroke survivors was conducted in China. All participants received either robot-assisted training or enhanced upper extremity therapy for 3 weeks. Fugl-Meyer assessment upper extremity subscale (FMA-UE), Fugl-Meyer assessment lower extremity subscale (FMA-LE), and Modified Barthel Index were administered at baseline, mid-treatment (1 week after treatment start), and post-treatment.

resultsParticipants in the robot-assisted training group showed a significant improvement in the hemiplegia extremity, which was non-inferior to the enhanced upper extremity therapy group in FMA-UE (p < 0.05), while suggesting greater motor recovery of lower extremity in FMA-LE (p < 0.05) compared with the enhanced upper extremity therapy group. A marked increase in Modified Barthel Index was observed within groups; however, no significant difference was found between groups.

conclusionRobot-assisted training is non-inferior but not better in reducing impairment of the upper extremity and appears to be superior in reducing impairment of the lower extremity compared with enhanced upper extremity therapy for stroke survivors.

Indexed as

RoboticsStrokeStroke RehabilitationHumansLower ExtremityRecovery of FunctionSurvivorsTreatment OutcomeUpper Extremity

Identifiers

PMID35892319
PMCPMC9463635

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.