ArticleJournal of pain research2023
Bibliometric Analysis of Research Articles on Virtual Reality in the Field of Pain Medicine Published from 1993 to 2022.
Article in Journal of pain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Effect of Virtual Reality Application on Pain and Anxiety During Episiotomy Repair: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.International urogynecology journal · 2024Pooled it
- Complex regional pain syndrome research trends: A bibliometric analysis of the last 3 decades (1993-2025).Medicine · 2026Article
- Regenerative therapy in geriatric patients with low back pain.Anesthesia and pain medicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: This study aims to analyze global and regional (China, Japan, and South Korea) research on virtual reality (VR) in the field of pain medicine over the past 30 years. Specifically, we quantify VR-related publications, examine the distribution of research topics on chronic and acute pain, and identify trends and future directions. Methods: The Web of Science Core Collection (WoSCC) database was used for bibliometric analysis. This study included articles written in English between 1993 and 2022. The search strategy used predefined terms related to VR and pain. Based on the articles' titles and abstracts, two pain physicians independently reviewed and classified them as acute or chronic pain. Quantitative data on countries, institutions, journals, and research categories were analyzed. VOSviewer software was used for keyword mapping and clustering. Results: We analyzed 808 VR-related articles on pain medicine. Over the past three decades, the number of publications in this field has increased steadily. The United States of America (n = 259) had the highest number of publications. Moreover, China (n = 42), Japan (n = 18), and South Korea (n = 24) also contributed continuously. Acute and chronic pain research accounted for 44.2% and 37.9% of the articles, respectively. The most common acute pain topic was procedure-related (n = 129, 16.0%), whereas the most common chronic pain topic was neuropathic (n = 104, 12.9%). Keywords clustered around neuroscience, pediatric pain management, and chronic pain management. Conclusion: Our study revealed academic achievements and growing interest in VR-related research in pain medicine. Researchers worldwide have shown balanced interest in applying VR technology to acute and chronic pain, with specific contributions from China, Japan, and South Korea. Harnessing VR technology is promising for improving pain management and enhancing patients' quality of life in the field of pain medicine.
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.