Evidence map›Paper›PMID 41356433›Full record

SynthesisPeerJ2025

Virtual reality technology for upper and lower limb motor function, daily function, and balance in stroke patients: a meta-analysis of randomized controlled trials.

Weixiao Zhang, Shanshan Lyu, Shuwen Zhang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Weixiao ZhangBusiness School, University of Technology Sydney, Sydney, New South Wales, Australia.
Shanshan LyuSchool of Physical Education, China University of Mining Technology, Xuzhou, Jiangsu Province, China.
Shuwen ZhangSchool of Physical Education, Yangzhou University, Yangzhou, Jiangsu Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke is a common neurological disorder that often results in motor dysfunction, significantly impairing patients' quality of life and increasing the economic burden on healthcare systems. Virtual reality (VR) technology has emerged as an innovative approach in stroke rehabilitation. This meta-analysis aimed to comprehensively evaluate the effects of VR-based interventions on motor function, daily function, and balance in stroke patients. Methods: We systematically searched PubMed, Embase, the Cochrane Library, Web of Science, and China National Knowledge Infrastructure (CNKI) databases from inception to October 2025 for randomized controlled trials (RCTs) investigating VR technology in stroke rehabilitation. Study quality was assessed using the Cochrane Risk of Bias 2.0 tool. Data synthesis involved pooling effect sizes, conducting subgroup analyses, and assessing publication bias using Stata 17. Results: A total of 27 RCTs involving 877 stroke patients were included in the meta-analysis. VR technology demonstrated statistically significant improvements across multiple functional domains: lower limb motor function (Cohen's d = 0.41, 95% CI [0.25-0.57], Conclusion: VR technology demonstrates significant potential as an effective complementary intervention for improving motor function, daily function, and balance in stroke patients. The small to moderate effect sizes across domains support its integration into conventional rehabilitation protocols. Future research should focus on optimizing VR parameters, investigating different VR technology types, and evaluating long-term sustainability to further establish its efficacy in stroke rehabilitation.

Indexed as

Lower ExtremityPostural BalanceStrokeStroke RehabilitationUpper ExtremityVirtual RealityActivities of Daily LivingHumansRandomized Controlled Trials as TopicRecovery of FunctionBalanceDaily functionMotor functionStrokeVirtual reality

Identifiers

PMID41356433
PMCPMC12681232

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.