Effects of virtual reality-based rehabilitation on cognitive function and mood in multiple sclerosis: A systematic review and meta-analysis of randomized controlled trials
Bibliographic record
Abstract
BACKGROUND: Multiple sclerosis (MS) is a disabling neurological disease that causes cognitive impairment and mental problems that occur in all MS phenotypes but are most common in patients with secondary progressive MS. Various degrees of cognitive impairment and mental health concerns are common among patients with MS (PwMS). Virtual reality (VR)-based rehabilitation is an innovative approach aimed at enhancing cognitive function and mood in PwMS. This study aims to perform a meta-analysis to assess the effects of VR-based rehabilitation on cognitive function and mood in PwMS. METHODS: Using PubMed, Embase, the Cochrane Library, Web of Science, and the Physiotherapy Evidence Database (PEDro), a thorough database search was performed to identify randomized controlled trials (RCTs) examining the effects of VR on PwMS. Trials published until October 31, 2023, that satisfied our predetermined inclusion and exclusion criteria were included. Data were extracted, literature was examined, and the methodological quality of the included trials was assessed. StataSE version 16 was used for the meta-analysis. RESULTS: Our meta-analysis included 461 patients from 10 RCTs. PRIMARY OUTCOMES: The Montreal Cognitive Assessment (MoCA) (weighted mean difference [WMD]=1.93, 95 % confidence interval [CI]=0.51-3.36, P = 0.008, I² = 75.4 %) the Spatial Recall Test (SPART) (WMD=3.57, 95 % CI=1.65-5.50, P < 0.001, I² = 0 %), immediate recall (standard mean difference [SMD]=0.37, 95 % CI=0.10-0.64, P = 0.007, I² = 0 %) and delayed recall ([SMD]=0.30, 95 % CI=0.06-0.54, P = 0.013, I² = 35.4 %) showed improvements in comparison to the control group in terms of global cognitive function immediate recall, delayed recall, and visuospatial abilities. SECONDARY OUTCOMES: Compared to the control group, anxiety improved (standard mean difference [SMD]=0.36, 95 % CI=0.10-0.62, P = 0.007, I² = 43.1 %). However, there were no significant differences in processing speed, attention, working memory or depression. CONCLUSIONS: This systematic review provides valuable evidence for improving cognitive function and mood in PwMS through VR-based rehabilitation. In the future, VR-based rehabilitation may be a potential method to treat cognitive function and emotional symptoms of MS. SYSTEMATIC REVIEW REGISTRATION: PROSPERO; identifier: CRD42023474467.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.081 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.046 | 0.008 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".