Evidence map›Paper›PMID 41963810›Full record

ArticleBMC anesthesiology2026

Ensuring flexible optical intubation skills using a portable virtual reality simulator - a validation study.

Mingjuan Sun, Xiaomei Guo, Qiong Qin, Huimin Liu, Hongyan Fang, Chengyun Wu, Zheng Wang, Lars Konge, Rong Zhao

Abstract readValidation Study
In one paragraph

Article in BMC anesthesiology, 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
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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

9 authors.

Mingjuan SunComprehensive Simulation Experiment Center of Clinical Skills, Yunnan University of Traditional Chinese Medicine, No. 1076 Yuhua Road, Chenggong District, Kunming City, Yunnan Province, 650500, China.
Xiaomei GuoComprehensive Simulation Experiment Center of Clinical Skills, Yunnan University of Traditional Chinese Medicine, No. 1076 Yuhua Road, Chenggong District, Kunming City, Yunnan Province, 650500, China.
Qiong QinComprehensive Simulation Experiment Center of Clinical Skills, Yunnan University of Traditional Chinese Medicine, No. 1076 Yuhua Road, Chenggong District, Kunming City, Yunnan Province, 650500, China.
Huimin LiuComprehensive Simulation Experiment Center of Clinical Skills, Yunnan University of Traditional Chinese Medicine, No. 1076 Yuhua Road, Chenggong District, Kunming City, Yunnan Province, 650500, China.
Hongyan FangComprehensive Simulation Experiment Center of Clinical Skills, Yunnan University of Traditional Chinese Medicine, No. 1076 Yuhua Road, Chenggong District, Kunming City, Yunnan Province, 650500, China.
Chengyun WuComprehensive Simulation Experiment Center of Clinical Skills, Yunnan University of Traditional Chinese Medicine, No. 1076 Yuhua Road, Chenggong District, Kunming City, Yunnan Province, 650500, China.
Zheng WangGuangdong Academy for Medical Simulation, Guangzhou, China.
Lars KongeCopenhagen Academy for Medical Education and Simulation, The Capital Region of Denmark, Copenhagen, Denmark.
Rong ZhaoComprehensive Simulation Experiment Center of Clinical Skills, Yunnan University of Traditional Chinese Medicine, No. 1076 Yuhua Road, Chenggong District, Kunming City, Yunnan Province, 650500, China. 382053812@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnesthesiologists must be able to perform flexible optical intubation (FOI) in challenging cases, but the skill is difficult to master and cannot be adequately taught using the traditional apprenticeship model. Mastery learning simulation-based training ensures that all trainees acquire basic competence in a safe environment before progressing to supervised performance on patients. However, mastery learning training programs require a simulation-based test with strong validity evidence and a defensible pass/fail standard.

methodsWe developed a FOI test on a portable virtual reality (VR) flexible bronchoscopy simulator, consisting of 12 challenging cases, and administered the test to 15 novices and 15 experienced anesthesiologists. Performance metrics were automatically recorded by the simulator, and all five sources in Messick’s contemporary validity evidence framework were explored.

resultsInternal consistency reliability was Cronbach’s α = 0.89. Generalizability theory analyses found that six cases were required for formative assessment (reliability > 0.7) and 10 cases were required for summative assessment (reliability > 0.8). An independent samples t-test showed that the test could significantly discriminate between novices and experienced anesthesiologists, p < 0.001. A credible pass/fail standard of 34.4% was established using the contrasting groups’ standard setting method. This standard resulted in two false positives (i.e., novices that passed the test) and one false negative (i.e., experienced that failed the test).

conclusionThe simulation-based FOI test based on 12 challenging adult airway cases on a VR portable flexible bronchoscopy simulator demonstrated strong validity evidence. The test can be used for both formative (i.e., feedback) and summative (i.e., certification) assessment and thereby support a mastery learning simulation-based training program for FOI.

Indexed as

AnesthesiologyBronchoscopyClinical CompetenceIntubation, IntratrachealSimulation TrainingVirtual RealityAdultAnesthesiologistsComputer SimulationFemaleHumansMaleReproducibility of ResultsFlexible Optical Intubation (FOI)Mastery LearningSkill AssessmentValidity EvidenceVirtual Reality Simulator

Identifiers

PMID41963810
PMCPMC13188312

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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.