SynthesisPeerJ2026
Efficacy of virtual reality interventions in reducing preoperative anxiety in pediatric patients undergoing general anesthesia: a systematic review and meta-analysis.
Synthesis in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To evaluate the effectiveness of virtual reality (VR) interventions in reducing preoperative anxiety in pediatric patients undergoing general anesthesia, and provide evidence to inform clinical decision-making. Methods: A comprehensive search was performed across PubMed, Embase, and the Cochrane Library, covering publications from inception to June 7, 2025. The study included randomized clinical trials (RCTs) of VR-based interventions (both immersive and non-immersive) compared to standard treatments or placebo controls. Studies assessing primary outcomes such as anxiety levels before induction, parent satisfaction, and postoperative delirium were included. Data synthesis was carried out using Review Manager software (version 5.4). The standardized mean difference (SMD) and 95% confidence intervals (CIs) were used to calculate the effect size for preoperative anxiety. Statistical heterogeneity was assessed with Cochran's Q test and I Results: A total of 12 studies were included in the meta-analysis, with participants undergoing various types of surgeries. The studies, published between 2017 and 2024, involved children from diverse regions, including South Korea, China, the United States, and others. The results indicated a significant reduction in preoperative anxiety for children who received VR interventions compared to controls (SMD = -0.69, 95% CI [-0.96 to -0.42]). Immersive VR showed a slightly higher effect in attracting children's attention and alleviating anxiety compared to non-immersive VR. Younger children (aged 3-6) exhibited a higher acceptance of VR and greater anxiety reduction, while older children (aged 7 and above) demonstrated less interest in VR interventions. Anxiety reduction was more pronounced for minor procedures but less effective for complex surgeries. Sensitivity analysis confirmed the robustness of these findings. Conclusion: VR-based interventions, particularly immersive VR, are effective in reducing preoperative anxiety in pediatric patients undergoing general anesthesia. The efficacy is influenced by the child's age, the type of surgery, and the specific VR content used. These findings support the clinical application of VR as a tool for anxiety management in pediatric anesthesia settings. While secondary outcomes such as parental anxiety and satisfaction showed positive trends, these findings should be interpreted with caution due to high heterogeneity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.