Evidence map›Paper›PMID 40068142›Full record

ReviewJournal of medical Internet research2025

Current Clinical and Educational Uses of Immersive Reality in Anesthesia: Narrative Review.

Andrew Fleet, Lilia Kaustov, Elio Br Belfiore, Bill Kapralos, Clyde Matava, Julian Wiegelmann, Peter Giacobbe, Fahad Alam

Abstract readReview
In one paragraph

Review in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Andrew FleetDepartment of Anesthesia, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0009-0003-1453-5655
Lilia KaustovDepartment of Anesthesia, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0002-8474-559X
Elio Br BelfioreDepartment of Anesthesia, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0002-3704-0626
Bill KapralosmaxSIMhealth Group, Ontario Tech University, Oshawa, ON, Canada.ORCID 0000-0003-0434-3847
Clyde MatavaDepartment of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, ON, Canada.ORCID 0000-0002-9502-0981
Julian WiegelmannDepartment of Anesthesia, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0003-1993-8413
Peter GiacobbeDepartment of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-6642-6221
Fahad AlamDepartment of Anesthesia, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID 0000-0001-9300-5713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe concept of immersive reality (IR), an umbrella term that encompasses virtual reality, augmented reality, and mixed reality, has been established within the health care realm as a potentially valuable tool with numerous applications in both medical education and patient care.

objectiveThis review aimed to introduce anesthesiologists to the emerging and rapidly evolving literature on IR, its use in anesthesia education, and its transferability into the clinical context.

methodsA review of the relevant literature was conducted using the PubMed database from inception to July 5, 2023. Additional references were identified from the reference lists of selected papers.

resultsA total of 51 papers related to the use of IR in anesthesia medical education (including both technical and nontechnical skills) and 63 papers related to applications in clinical practice (eg, preprocedure planning, patient education, and pain management) were included. We present evidence supporting the use of IR in the training and clinical practice of modern anesthesiologists.

conclusionsIR is useful for a variety of applications in anesthesia medical education and has potential advantages over existing simulation approaches. Similarly, IR has demonstrated potential improvements in patient care across several clinical contexts relevant to practicing anesthesiologists. However, many applications remain in the early stages of development, and robust trials are urgently needed to confirm clinical or educational effectiveness and to assess mechanisms, educational validity, and cost-effectiveness.

Indexed as

AnesthesiaAnesthesiologyEducation, MedicalVirtual RealityHumansanesthesiaartificial intelligenceaugmented realityimmersive realitymedical educationmixed realityvirtual reality

Identifiers

PMID40068142
PMCPMC11937716

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.