Evidence map›Paper›PMID 39688774›Full record

SynthesisJournal of robotic surgery2024

Virtual reality simulations in robotic surgery training: a systematic review and meta-analysis.

Kazuho Kawashima, Francis Nader, Justin W Collins, Ali Esmaeili

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of robotic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

4 authors.

Kazuho KawashimaDivision of Surgery & Interventional Science, University College London, London, UK. kazuho.kawashima@nhs.net.ORCID http://orcid.org/0009-0001-3436-6516
Francis NaderDepartment of Education and Research, Griffin Institute, London, UK.
Justin W CollinsDivision of Surgery & Interventional Science, University College London, London, UK.
Ali EsmaeiliDepartment of Plastic and Reconstructive Surgery, Royal Free NHS Foundation Trust, Pond St, London, NW3 2QG, UK. a.esmaeili@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare VR simulations with other training methods regarding improvements in objective assessment scores and task completion times.

methodA database search was conducted on 20 May 2024 across Central, MEDLINE, EMBASE, Web of Science, and Scopus. Included were randomised controlled trials comparing VR simulations to other training methods, assessing objective scores and task times. The Risk of Bias-2 tool was used for bias assessment.

resultsEighteen studies were included. VR significantly improved objective scores (n = 339, SMD 1.04, 95% CI 0.40-1.69, P = 0.002) and reduced task completion times (n = 357, SMD of -1.08, 95% CI of as - 2.05 to - 0.12, P = 0.03) compared to no additional training. VR was as effective as dry lab training for improving scores (n = 213, SMD -0.47, 95% CI - 1.34 to 0.41, P = 0.30) and task times (n = 98, SMD - 0.37, 95% CI - 1.51 to 0.78, P = 0.53). However, one study found wet lab training significantly reduced task times compared to VR (n = 20, SMD of 1.7, 95% CI of 0.65-2.76, P = 0.002). No significant differences were found when VR alone was compared to VR with expert advice.

conclusionVR is more effective than no additional training and is as effective as dry lab training in robotic skill acquisitions. Therefore, VR is effective in enhancing robotic surgery skills and warrants an expanded role in surgical training programmes.

Indexed as

Robotic Surgical ProceduresSimulation TrainingVirtual RealityClinical CompetenceHumansEducationRobotic-assisted surgeryRobotic surgeryTrainingVirtual reality

Identifiers

PMID39688774

What OpenQuestion holds

Textmetadata
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.