Evidence map›Paper›PMID 40973905›Full record

ArticleSurgical endoscopy2025

Using virtual reality simulation to ensure laparoscopic camera navigation skills of new surgical assistants-a validation study.

Yu Jiongbiao, Yang Yunran, Tang Lidong, Wang Wentao, Ma Jinhuo, Li Xiaowu, Zheng Wang, Lars Konge, Liu Wei

Abstract readValidation Study
In one paragraph

Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Yu JiongbiaoThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.ORCID http://orcid.org/0009-0005-4323-0804
Yang YunranThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Tang LidongThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Wang WentaoThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Ma JinhuoThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Li XiaowuThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China.
Zheng WangGuangdong Academy for Medical Simulation, Guangzhou, China.
Lars KongeCopenhagen Academy for Medical Education and Simulation, Copenhagen, Denmark.
Liu WeiThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China. liuwei@gdpu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to develop and validate a virtual reality (VR) simulation-based test for assessing laparoscopic camera navigation skills, using Messick's contemporary framework to gather validity evidence and establish an evidence-based pass/fail standard.

methodsThe test was developed through consensus among surgical experts and included eight clinically relevant metrics. A total of 24 participants, comprising 12 novice medical students and 12 experienced surgical residents, were recruited.

resultsThe test demonstrated high internal consistency reliability (Cronbach's α = 0.88) and test-retest reliability (Pearson's r = 0.84). Significant differences in performance were observed between novices (51.8 ± 13.9) and experienced participants (81.7 ± 6.0, p < 0.001), indicating strong discriminative ability.A pass/fail score of 70% was established using the contrasting groups' method, with one novice passing and no experienced participants failing. Participants perceived the simulator as realistic and beneficial for skill improvement, though experienced participants were less inclined to use it for further practice.

conclusionsThe study concludes that the VR laparoscopic camera navigation test provides a valid and reliable tool for training and assessing surgical assistants, supporting its integration into mastery learning programs to ensure proficiency before clinical practice.

Indexed as

Clinical CompetenceLaparoscopySimulation TrainingVirtual RealityAdultFemaleHumansInternship and ResidencyMaleReproducibility of ResultsAssessmentCamera navigationLaparoscopyMessick’s frameworkSimulationSimulation-based testStandard settingValidityValidity evidenceVirtual reality

Identifiers

PMID40973905
PMCPMC12708705

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Registered trials

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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.