Evidence map›Paper›PMID 40074365›Full record

SynthesisJournal of medical Internet research2025

Effect of Home-Based Virtual Reality Training on Upper Extremity Recovery in Patients With Stroke: Systematic Review.

Jiaqi Huang, Yixi Wei, Ping Zhou, Xiaokuo He, Hai Li, Xijun Wei

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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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

6 authors.

Jiaqi HuangRehabilitation Lab of Mix Reality, Shenzhen Hospital, Southern Medical University, Shenzhen, China.ORCID https://orcid.org/0009-0002-7885-0198
Yixi WeiRehabilitation Lab of Mix Reality, Shenzhen Hospital, Southern Medical University, Shenzhen, China.ORCID https://orcid.org/0009-0004-3768-3965
Ping ZhouRehabilitation Lab of Mix Reality, Shenzhen Hospital, Southern Medical University, Shenzhen, China.ORCID https://orcid.org/0000-0002-8608-4211
Xiaokuo HeDepartment of Rehabilitation Medicine, The Fifth Hospital of Xiamen City, Xiamen, China.ORCID https://orcid.org/0000-0002-2533-0124
Hai LiDepartment of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen, China.ORCID https://orcid.org/0000-0003-0799-5875
Xijun WeiRehabilitation Lab of Mix Reality, Shenzhen Hospital, Southern Medical University, Shenzhen, China.ORCID https://orcid.org/0000-0002-7643-0475

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is a leading cause of long-term disability, often resulting in upper extremity dysfunction. Traditional rehabilitation methods often face challenges such as limited patient access to resources and lack of sustained motivation. Home-based virtual reality (VR) training is gaining traction as an innovative, sustainable, and interactive alternative. However, the effect of home-based VR, specifically for upper extremity recovery in patients with stroke, remains insufficiently explored.

objectiveThis systematic review aims to synthesize existing evidence to evaluate the impact of home-based VR interventions on upper extremity function recovery in patients with stroke.

methodsThis systematic review followed the guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). A comprehensive literature search was conducted across PubMed, Web of Science, Scopus, and CINAHL (Cumulative Index to Nursing and Allied Health Literature) Ultimate databases, targeting English-language randomized controlled trials (RCTs) published up to June 30, 2024. Eligible studies involved patients with stroke with upper extremity dysfunction who received home-based VR interventions. Data extraction was performed by 2 independent reviewers, and study quality was assessed using the Physiotherapy Evidence Database scale. Due to heterogeneity in study designs and outcome measures, a narrative synthesis was performed instead of a meta-analysis.

resultsA total of 8 RCTs with 392 participants were included. This review shows that home-based VR training positively affects upper extremity function recovery in patients with stroke, especially in motor control improvement. Customized VR systems were more effective than commercial VR systems in patients with moderate to severe disorders. Although studies generally showed positive results, differences in intervention protocols and small sample sizes limited the validity of results. The effect of VR therapy also varied based on the VR system type, intervention intensity, and the functional level of patients.

conclusionsThis systematic review shows that home-based VR training has a positive impact on upper extremity rehabilitation for patients with stroke, particularly in those with varying degrees of dysfunction. However, heterogeneity in study design and differences in outcome measures affect the reliability of the current conclusions. Future studies should include larger, standardized RCTs with long-term follow-up to assess their continued effects. Future research should explore how VR technology can be integrated into comprehensive rehabilitation programs, focusing on patient-centered approaches that incorporate sustainable, personalized technology, and support services to optimize recovery outcomes.

trial registrationPROSPERO CRD42024526650; https://tinyurl.com/5dny5bhp.

Indexed as

StrokeStroke RehabilitationUpper ExtremityVirtual RealityHome Care ServicesHumansRecovery of Functionhome-basedmotor controlrecoveryrehabilitationstrokeupper extremityvirtual reality

Identifiers

PMID40074365
PMCPMC12008694

What OpenQuestion holds

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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.