ReviewKorean journal of anesthesiology2025
Extended reality in anesthesia: a narrative review.
Review in Korean journal of anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Integrating AI Segmentation, Simulated Digital Twins, and Extended Reality into Medical Education: A Narrative Technical Review and Proof-of-Concept Case Study.Journal of personalized medicine · 2026Review
- Using head-mounted augmented and virtual reality devices for anaesthesia education: a scoping review.BJA open · 2026Review
- Advancing Medical Training with Mixed Reality and Haptic Feedback Simulator for Acupuncture Needling.Sensors (Basel, Switzerland) · 2025Article
- Digital Doses: Virtual Reality Use for Perioperative Pain and Anxiety in Patients Undergoing Hand Surgery.Journal of hand surgery global online · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The application of extended reality (XR) technology is rapidly expanding in the medical field, including anesthesia. This review aims to introduce the current literature on XR utilization to help anesthesiologists adopt this technology in education and clinical practice. XR is useful for both knowledge acquisition and skill training in a wide range of settings, from students to medical professionals. One of its major benefits is harm reduction through simulation scenarios that allow for immersion in clinical situations and opportunities to practice procedures and tasks. These scenarios often involve both technical and non-technical skills, enabling clinicians to enhance their capabilities without risking patient safety. In clinical settings, XR can also be used with patients to increase familiarity with medical procedures, provide education, and reduce anxiety. XR can also serve as a distraction technique, diverting the patient's attention from medical procedures and enhancing comfort, which may contribute to reduced opioid use. Although the potential benefits of XR in anesthesia have been reported in various educational and clinical contexts, challenges, such as limited financial reimbursement and restricted technical accessibility, remain. With further research and technological advancements, XR technology has the potential for widespread adoption in anesthesia practice.
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.