Evidence map›Paper›PMID 41467453›Full record

ArticleJournal of minimal access surgery2026

Does training on robotic virtual reality simulators improve the post-training robotic surgical skills of surgeons? A systematic review and meta-analysis.

Lalit Singh, Alex Paget Rodrigues, Judy Jenkins

Abstract read
In one paragraph

Article in Journal of minimal access surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Lalit SinghThe Faculty of Medicine, Health and Life Sciences, Swansea University, Wales, UK.
Alex Paget Rodrigues
Judy Jenkins

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effectiveness of virtual reality (VR) simulation training for improving robotic surgical skills is not firmly established. This systematic review and meta-analysis aimed to evaluate the impact of VR simulator training on surgeons' robotic surgical performance in the operating room (OR).

aimTo synthesize evidence regarding the association between VR-based robotic surgery training and subsequent technical performance inside the OR. DATA SOURCES: A comprehensive literature search was conducted in PubMed, Scopus, Embase, and CINAHL databases, adhering to PRISMA 2020 guidelines. ELIGIBILITY CRITERIA AND STUDY SELECTION: Studies evaluating VR simulator training for robotic surgeons with subsequent performance assessment in the OR were included. Risk of bias assessment was performed using the Medical Education Research Study Quality Instrument and the modified Newcastle-Ottawa Scale for Education (NOS-E), along with funding source appraisal. DATA SYNTHESIS: A total of 294 records were screened, resulting in 13 studies (281 participants) included in the systematic review, and 4 studies (72 participants) suitable for meta-analysis. Metaanalysis was conducted using a random-effects model to pool correlation coefficients between preand post-training performance.

resultsOf the included studies, nine reported positive evidence, three found no evidence, and one found negative evidence regarding VR training's role. The meta-analysis of before-after studies revealed a significant positive correlation ( r = 0.717, P < 0.05) between simulation performance and intraoperative outcomes. LIMITATIONS: The small number of studies included in the meta-analysis and methodological heterogeneity may limit generalisability of results.

conclusionsVR simulator training is associated with improved robotic surgical performance in the OR. Incorporation of VR simulation into robotic surgical curricula is likely beneficial for skill acquisition and operative readiness.

Indexed as

Robot-assisted surgeryrobotic surgery skillsvirtual reality simulation

Identifiers

PMID41467453
PMCPMC13175572

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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.