Evidence map›Paper›PMID 42489003›Full record

SynthesisJournal of medical Internet research2026

Efficacy of Various Virtual Reality Exposure Therapies for Chronic Low Back Pain: Systematic Review and Network Meta-Analysis.

Linjie Wu, Xingyu Liu, Qichao Yin, Tianqi Yao, Yanhu Li

Abstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2026. 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. Article
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.

Linjie WuBeijing Sport University, Beijing, China.ORCID 0009-0001-3564-694X
Xingyu LiuBeijing Sport University, Beijing, China.ORCID 0009-0006-2224-1122
Qichao YinCollege of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China.ORCID 0009-0001-8764-5383
Tianqi YaoNational Institute of Sports Medicine, General Administration of Sport of China, No 2 Jia, 3rd Floor, Tiyuguan Road, Dongcheng District, Beijing, 100061, China, 86 18813095716.ORCID 0000-0003-2255-6176
Yanhu LiNational Institute of Sports Medicine, General Administration of Sport of China, No 2 Jia, 3rd Floor, Tiyuguan Road, Dongcheng District, Beijing, 100061, China, 86 18813095716.ORCID 0009-0002-9960-2476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic low back pain (CLBP) is a major global health challenge. While nonpharmacological therapies are recommended, patient compliance is often hindered by kinesiophobia. Virtual reality (VR) offers an immersive, distraction-based approach, but the comparative effectiveness of different VR modalities remains unclear. Objective: The aim of the study is to compare and rank the efficacy of different VR-based training modalities on pain intensity, disability, and kinesiophobia in patients with CLBP. Methods: Systematic searches were conducted in PubMed, Web of Science, Scopus, Embase, CINAHL, and the Cochrane Library from inception until June 2025. Randomized controlled trials (RCTs) assessing the effects of VR-based training on individuals with CLBP were selected. Primary outcomes were pain intensity, disability (Oswestry Disability Index), and kinesiophobia (Tampa Scale of Kinesiophobia). The Cochrane Risk of Bias 2 tool was used for quality assessment. Confidence in Network Meta-Analysis (CINeMA) framework was used to evaluate the credibility of cumulative evidence. A Bayesian network meta-analysis with standardized mean difference (SMD) as effect size was performed to synthesize evidence and rank interventions using surface under the cumulative ranking curve values. The GRADE (Grading of Recommendations Assessment, Development and Evaluation) framework was adapted to evaluate the quality of evidence. Results: In total, 25 RCTs with a total of 2610 participants were included in the analysis. For pain intensity, shooting games (SMD -4.40, 95% credible interval [CrI] -6.80 to -2.20) and VR-based equestrian training (SMD -2.00, 95% CrI -3.70 to -0.57) were significantly superior to all types of controls. Surface under the cumulative ranking curve indicated that shooting games had the highest probability (98%) of being the most effective intervention for pain relief. For disability, no intervention demonstrated statistically significant superiority. For kinesiophobia, shooting games (SMD -3.40, 95% CrI -5.60 to -1.10) significantly outperformed traditional exercise controls. The quality of evidence ranged from very low to moderate across outcomes. Conclusions: This first network meta-analysis to compare and rank distinct VR modalities for CLBP offers several key innovations and contributions to the field. By moving beyond aggregate VR categorizations, we provide a granular, comparative ranking of specific, actionable VR interventions. Unlike previous reviews that treated VR as a homogeneous group or only compared it to sham, our network meta-analysis directly and indirectly compares 7 distinct VR modalities, revealing that not all VR is equally effective. Our findings suggest that shooting games have the potential to be the most effective VR therapy for relieving pain intensity and kinesiophobia, though evidence for disability remains limited. Unfortunately, due to heterogeneity and low-quality evidence, there is no evidence demonstrating significant improvement in specific outcomes for patients with CLBP. More RCTs are needed to provide robust clinical evidence.

Indexed as

Chronic PainLow Back PainVirtual Reality Exposure TherapyHumansKinesiophobiachroniclow back painPreferred Reporting Items for Systematic Reviews and Meta-AnalysesPRISMArehabilitationvirtual realityvirtual reality–based training

Identifiers

PMID42489003
PMCPMC13392656

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.