Evidence map›Paper›PMID 35765084›Full record

ArticleTrials2022

Effects of robot-assisted therapy on upper limb and cognitive function in patients with stroke: study protocol of a randomized controlled study.

Yana Wang, Mingzhu Ye, Yujie Tong, Li Xiong, Xuejiao Wu, Chao Geng, Wen Zhang, Ziqi Dai, Wei Tian, Jifeng Rong

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Robotic rehabilitation with the LokomatFrontiers in aging neuroscience · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Yana WangThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
Mingzhu YeThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
Yujie TongThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
Li XiongThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
Xuejiao WuThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
Chao GengThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
Wen ZhangThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
Ziqi DaiThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China.
Wei TianThe Neurorehabilitation Center, the First Rehabilitation Hospital of Shanghai, Shanghai, China.
Jifeng RongThe Center of Rehabilitation Therapy, the First Rehabilitation Hospital of Shanghai, No.349 Hangzhou Rd., Yangpu District, Shanghai, 200090, China. peterrong@126.com.
Shanghai Sunshine Rehabilitation Center · CNShanghai University of Sport · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImpairments in upper limb motor function and cognitive ability are major health problems experienced by stroke patients, necessitating the development of novel and effective treatment options in stroke care. The aim of this study is to examine the effects of robot-assisted therapy on improving upper limb and cognitive functions in stroke patients.

methodsThis will be a single-blinded, 2-arm, parallel design, randomized controlled trial which will include a sample size of 86 acute and subacute stroke patients to be recruited from a single clinical hospital in Shanghai, China. Upon qualifying the study eligibility, participants will be randomly assigned to receive either robot-assisted therapy or conventional therapy with both interventions being conducted over a 6-week period in a clinical rehabilitation setting. In addition to comprehensive rehabilitation, the robot-assisted therapy group will receive a 30-min Armguider robot-assisted therapy intervention 5 days a week. Primary efficacy outcomes will include Fugl-Meyer Assessment for Upper Extremity (FMA-UE) and Mini-Mental Status Examination (MMSE). Other secondary outcomes will include Trail Making Test (TMT), Auditory Verbal Learning Test (AVLT), Digit Symbol Substitution Test (DSST), and Rey-Osterrieth Complex Figure Test (ROCFT). All trial outcomes will be assessed at baseline and at 6-week follow-up. Intention-to-treat analyses will be performed to examine changes from baseline in the outcomes. Adverse events will be monitored throughout the trial period. DISCUSSION: This will be the first randomized controlled trial aimed at examining the effects of robot-assisted therapy on upper limb and cognitive functions in acute and subacute stroke patients. Findings from the study will contribute to our understanding of using a novel robotic rehabilitation approach to stroke care and rehabilitation.

trial registrationChinese Clinical Trial Registry ChiCTR2100050856 . Registered on 5 September 2021.

Indexed as

RoboticsStrokeStroke RehabilitationChinaCognitionHumansRandomized Controlled Trials as TopicRecovery of FunctionUpper ExtremityCognitionRobot-assisted therapyStrokeUpper limb function

Identifiers

PMID35765084
PMCPMC9238006
OpenAlexW4283657380

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.