Trial reportBMC anesthesiology2025
Effect of virtual reality on perioperative anxiety, stress and pain in total hip arthroplasty: a randomized controlled trial.
Trial report in BMC anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06088069 (Effect of Virtual Reality on Perioperative Anxiety, Stress and Pain in Total Hip Arthroplasty), which is not on this map. Cited by 6 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.
Effect of Virtual Reality on Perioperative Anxiety, Stress and Pain in Total Hip Arthroplasty: a Randomized Controlled Trial
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Non-pharmacological interventions to reduce postoperative anxiety in total hip arthroplasty: a systematic review.BMC musculoskeletal disorders · 2026Pooled it
- Effectiveness of Virtual Reality Interventions on Perioperative Anxiety, Depression, Blood Pressure, and Heart Rate: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR serious games · 2026Review
- The Use of Virtual Reality for Pain and Anxiety Reduction: A Literature Review.Acta medica Lituanica · 2026Review
- Association between intraoperative noise intensity during hip arthroplasty and the postoperative risk of kinesiophobia: a prospective cohort study.Frontiers in surgery · 2026Article
- Review
- Virtual Reality for Perioperative Care in Cardiac Surgery: A Systematic Review and Meta-Analysis.Cureus · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundVirtual reality (VR) has shown promise as a nonpharmacological alternative to pharmaceutical pain relievers and anxiety medications in clinical trials by decreasing pain and anxiety in orthopedic surgeries. The aim of the study was to evaluate the impact of VR on these outcomes in individuals undergoing total hip arthroplasty (THA).
methodsThis randomized, controlled, open-label research included 50 participants planned for THA with spinal anesthesia (SA). Patients were allocated equally to group VR: patients were immersed in a peaceful natural environment with soft music preoperatively and intraoperatively, and group C did not receive VR.
resultsThe STAI-S for anxiety and PSS-10 scores for stress were significantly lower in group VR before SA and immediately postoperatively (P < 0.05). Hemodynamics at 5 min, 30 min, and 60 min, pain scores at 4 h and 6 h, 24 h pethidine consumption, haloperidol dose, and cortisol level at 6 h postoperative were decrease in group VR in comparision to group C (P < 0.05). Time to first analgesia request and satisfaction level were higher in group VR in comparision to group C (P < 0.05).
conclusionsVR can reduce perioperative anxiety, stress, pain, and opioid requirements, and improve satisfaction in THA patients.
trial registrationThe trial was registered https://clinicaltrials.gov/study/NCT06088069?id=NCT06088069&rank=1((ID:NCT06088069 , Principal investigator: (SAAD AHMED MOHARAM, Date of registration: 18-10-2023).
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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.