Evidence map›Paper›PMID 40514705›Full record

ArticleTrials2025

Research on the evaluation and rehabilitation training system of upper limb motor function for poststroke patients based on artificial intelligence: a study protocol for a randomized controlled trial.

Qiurong Xie, Qi Zhang, Xiaoling Wang, Jia Luo, Bo Sheng

Abstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Trial
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

5 authors.

Qiurong XieCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China. qwfyby@163.com.ORCID http://orcid.org/0000-0003-0033-2163
Qi ZhangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
Xiaoling WangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
Jia LuoCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
Bo ShengSchool of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.

Funding

the National Natural Science Foundation of China 62373108the National Natural Science Foundation of China 82305357the Natural Science Foundation of Fujian Province 2020J01752the Scientific Research Program of the Chinese Society of Rehabilitation Medicin KFKT-2022-018
6 · The paper itself

Abstract

backgroundStroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and virtual reality training system for upper limb motor function in stroke can accurately and objectively assess patients' motor function and guide their rehabilitation training. Our study aims to verify the clinical efficacy of the virtual reality training system in improving upper limb motor dysfunction in poststroke patients. METHODS/

designThis study will be a single-center, single-blind, randomized controlled clinical study. Fifty eligible patients will be randomized in a 1:1 ratio into a virtual reality training group (VR) and a conventional upper extremity treatment (CT) group. The intervention will be performed five times per week for 4 weeks. The primary outcome will be the Fugl-Meyer Motor Function Assessment-Upper Extremity (FMA-UE), and the secondary effects will be kinematic and electromyographic assessments. Adverse events will be recorded, and serious adverse events will be used as criteria for discontinuation of the intervention. DISCUSSION: A stroke upper limb motor function assessment and virtual reality rehabilitation training system based on the FTHUE scale can achieve a close link between intelligent assessment and treatment of upper limb motor function in poststroke patients while integrating the design concepts of the upper limb and hand assessment and treatment, which can theoretically improve upper limb function in stroke to a greater extent, but further high-quality studies are needed. The results of this trial will determine whether an assessment and training system based on the FTHUE scale can improve upper extremity motor dysfunction after stroke.

trial registrationChinese Clinical Trial Registration Center, ChiCTR2200060214. Registered May 22, 2022. Manuscript Version: 2.0 Manuscript Date: May 2, 2025.

Indexed as

Artificial IntelligenceMotor ActivityStrokeStroke RehabilitationUpper ExtremityAdultAgedBiomechanical PhenomenaDisability EvaluationFemaleHumansMaleMiddle AgedRandomized Controlled Trials as TopicRecovery of FunctionSingle-Blind MethodAutomated evaluationMarkerless sensing technologyRandomized controlled trialStrokeUpper limb functionVirtual reality rehabilitation training

Identifiers

PMID40514705
PMCPMC12164119

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Registered trials

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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.