Evidence map›Paper›PMID 36928345›Full record

SynthesisScientific reports2023

Effects of virtual reality-based intervention on depression in stroke patients: a meta-analysis.

Hebing Liu, Zhaohua Cheng, Shuo Wang, Yong Jia

Full text readMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

4 authors.

Hebing Liu *The Second Hospital, Jilin University, No. 218 Ziqiang Street, Changchun, 130021, Jilin, China.
Zhaohua Cheng *The Second Hospital, Jilin University, No. 218 Ziqiang Street, Changchun, 130021, Jilin, China.
Shuo WangSchool of Nursing, Xuzhou Medical University, Tongshan Road, Xuzhou, 221004, Jiangsu, China.
Yong JiaSchool of Nursing, Jilin University, No.965 Xinjiang Street, Changchun, 130021, Jilin, China. jiay0023@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most common neuropsychiatric complications after stroke, post-stroke depression can significantly affect the initiative of rehabilitation exercise and the rehabilitation of neurological function of patients. Virtual reality (VR) has been widely used in health-related fields in recent years. There is some evidence that VR-based interventions have benefits for depression. The aim of this study was to assess the effectiveness of VR-based intervention on depression in stroke patients. A total of 752 patients with stroke from 11 randomized controlled trials (RCTs) studies were included in this meta-analysis and the studies derived from seven electronic databases searched from database inception to August 2021. Different tools were used to measure depression. For continuous results, the standardized mean differences (SMDs) and 95% confidence intervals (CIs) were calculated to synthesize the effects. We assessed the risk of bias by using the Cochrane Collaboration criteria. The results showed that compared to the control group, VR-based interventions significantly decreased the depression scale score (SMD =  - 0.75, 95% CI - 1.35, - 0.15). The meta-analysis indicated that VR-based intervention had a moderate effect on depression in stroke patients compared to control group. There was no evidence of potential publication bias as assessed by visual inspection of funnel plots in Egger and Begg tests. Substantial heterogeneity between studies was observed, meta-regression analysis showed that mean age might be the source of heterogeneity.

Indexed as

MedicineStrokeStroke RehabilitationVirtual RealityDepressionHumansPhysical Examination

Identifiers

PMID36928345
PMCPMC10020160

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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.