SynthesisJournal of medical Internet research2025
Remapping Body Representation Using Virtual Reality in Chronic Neuropathic Pain: Systematic Review.
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 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Virtual reality in neurorehabilitation for musculoskeletal disorders: a bibliometric analysis from 2010 to 2025.Frontiers in neurology · 2026Pooled it
- Clinical management of complications after chronic spinal cord injury: a review of recent advances.Annals of medicine · 2026Review
- Long-Lasting Changes of Repeated Anodal Transcranial Direct Current Stimulation in Decreasing Chronic Pain in Patients with Multiple Sclerosis: A Case Series.Brain sciences · 2026Article
- Participant perspectives on a multimodal program for neuropathic pain after spinal cord injury.Frontiers in pain research (Lausanne, Switzerland) · 2026Article
- Design of Immersive Virtual Reality Systems and Their Application in Zoster-Associated Pain Following Pulsed Radiofrequency Treatment: A Randomized Controlled Trial Protocol.Journal of pain research · 2026Article
- Development of an AI integrated virtual reality system for reducing dental anxiety among pediatric patients.Bioinformation · 2025Article
- Virtual Reality and Digital Interventions in Cancer Pain Relief: A New Frontier in Supportive Oncology Care.Journal of mid-life healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic neuropathic pain (CNP) is a common consequence of neurological conditions such as spinal cord injury (SCI), complex regional pain syndrome (CRPS), and phantom limb pain (PLP). These conditions are often associated with distorted body representation (BR) and altered sensory processing. Virtual reality (VR) offers immersive, multisensory experiences that can modulate attention, recalibrate BR, and potentially alleviate pain.
objectiveThis systematic review aims to synthesize evidence on the use of VR-based interventions for managing CNP in patients with neurological conditions. It explores how VR can influence pain perception through body remapping. Furthermore, this review seeks to identify gaps in current research, offering recommendations for future research directions and clinical applications.
methodsWe performed a comprehensive literature search in PubMed, Web of Science, and Scopus for studies published between January 2014 and December 2024. We included original studies that examined VR interventions in patients with neurological conditions and CNP, assessing pain reduction, improvements in BR, or functional recovery. We excluded reviews, animal model studies, migraine-related studies, and those lacking a clear VR intervention or relevant clinical outcome data. The quality of the included studies was evaluated using the revised Cochrane Risk of Bias Tool for Randomized Trials and the Cochrane Risk of Bias in Nonrandomized Studies of Interventions tool. Given the heterogeneity in study design, VR protocols, and outcome measures, a qualitative synthesis approach was adopted based on the synthesis without meta-analysis framework.
resultsTen studies-both randomized controlled trials and uncontrolled experimental designs-met the inclusion criteria. These studies focused on the application of VR in SCI (n=4, 40%), CRPS (n=4, 40%), and PLP (n=2, 20%), using interventions such as immersive VR, mirror visual feedback, visuotactile stimulation, and virtual body illusions. Sample sizes ranged from 9 to 70 participants, with varying degrees of neurological impairment. Most of the studies (n=7, 70%) reported substantial reductions in pain intensity and improvements in embodiment and perceived body ownership. In SCI, combining VR with neuromodulation techniques enhanced analgesic effects. In CRPS, modifying the visual appearance of the affected limb improved body image and decreased pain perception. In PLP, kinesthetic and visual feedback delivered through VR environments significantly reduced PLP and improved movement representation.
conclusionsOverall, the quality of evidence ranged from moderate to low, mainly due to small sample sizes, protocol heterogeneity, and risk of bias. Evidence regarding adherence to VR therapy was particularly limited. Nonetheless, VR shows strong potential as a noninvasive, patient-tailored therapeutic tool for CNP. VR could provide innovative and engaging strategies to reduce pain and enhance functional outcomes in populations with neurological conditions. Future research should focus on developing standardized protocols and conducting large-scale, high-quality trials to validate VR's long-term efficacy and integration into routine clinical practice.
trial registrationPROSPERO CRD42024606150; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024606150.
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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.