Evidence map›Paper›PMID 35144614›Full record

ArticleBMC medical education2022

Quantitative influence and performance analysis of virtual reality laparoscopic surgical training system.

Peng Yu, Junjun Pan, Zhaoxue Wang, Yang Shen, Jialun Li, Aimin Hao, Haipeng Wang

Abstract read
In one paragraph

Article in BMC medical education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  12. Metaverse Wearables for Immersive Digital Healthcare: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  13. Multimodal Approach to Assess a Virtual Reality-based Surgical Training Platform.Virtual, augmented and mixed reality : 15th International Conference, VAMR 2023, held as part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23-28, 2023, proceedings. VAMR (Conference) (15th : 2023 : Cope... · 2023
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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

7 authors.

Peng YuState Key Lab of VR Tech & Syst, Beihang University, Beijing, China. yupeng@buaa.edu.cn.ORCID http://orcid.org/0000-0002-8652-2744
Junjun PanState Key Lab of VR Tech & Syst, Beihang University, Beijing, China. pan_junjun@buaa.edu.cn.
Zhaoxue WangBeijing Normal University, Beijing, China.
Yang ShenBeijing Normal University, Beijing, China.
Jialun LiState Key Lab of VR Tech & Syst, Beihang University, Beijing, China.
Aimin HaoState Key Lab of VR Tech & Syst, Beihang University, Beijing, China.
Haipeng WangBeijing General Aerospace Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVirtual reality (VR) surgery training has become a trend in clinical education. Many research papers validate the effectiveness of VR-based surgical simulators in training medical students. However, most existing articles employ subjective methods to study the residents' surgical skills improvement. Few of them investigate how to improve the surgery skills on specific dimensions substantially.

methodsOur paper resorts to physiological approaches to objectively study the quantitative influence and performance analysis of VR laparoscopic surgical training system for medical students. Fifty-one participants were recruited from a pool of medical students. They conducted four pre and post experiments in the training box. They were trained on VR-based laparoscopic surgery simulators (VRLS) in the middle of pre and post experiments. Their operation and physiological data (heart rate and electroencephalogram) are recorded during the pre and post experiments. The physiological data is used to compute cognitive load and flow experience quantitatively. Senior surgeons graded their performance using newly designed hybrid standards for fundamental tasks and Global operative assessment of laparoscopic skills (GOALS) standards for colon resection tasks. Finally, the participants were required to fill the questionnaires about their cognitive load and flow experience.

resultsAfter training on VRLS, the time of the experimental group to complete the same task could drop sharply (p < 0.01). The performance scores are enhanced significantly (p < 0.01). The performance and cognitive load computed from EEG are negatively correlated (p < 0.05).

conclusionThe results show that the VRLS could highly improve medical students' performance and enable the participants to obtain flow experience with a lower cognitive load. Participants' performance is negatively correlated with cognitive load through quantitative physiological analysis. This might provide a new way of assessing skill acquirement.

Indexed as

LaparoscopySimulation TrainingVirtual RealityClinical CompetenceComputer SimulationHumansUser-Computer InterfaceCognitive loadDepth perceptionFlow experienceLaparoscopic surgical skills trainingVR

Identifiers

PMID35144614
PMCPMC8832780

What OpenQuestion holds

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LicenceCC BY
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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.