ReviewClinical endoscopy2023
Simulator-based training method in gastrointestinal endoscopy training and currently available simulators.
Review in Clinical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
Who cites it
11 citing papers in PubMed.
- Article
- A Soft-Robotic Biomimetic Benchtop Model for Esophageal Motility Simulation.Nature communications · 2026Article
- Digital platforms, virtual reality, and augmented reality in gastrointestinal endoscopy training.Clinical endoscopy · 2025Review
- Effects of a training system that tracks the operator's gaze pattern during endoscopic submucosal dissection on hemostasis.World journal of gastrointestinal endoscopy · 2025Article
- Comments on 'Development of colonic stent simulator using three-dimensional printing technique: a simulator development study in Korea'.Clinical endoscopy · 2025Article
- Meaningful progress towards a high-fidelity endoscopic submucosal dissection training simulator model.Clinical endoscopy · 2025Article
- Development of colonic stent simulator using three-dimensional printing technique: a simulator development study in Korea.Clinical endoscopy · 2024Article
- A Multicenter Survey of Percutaneous Endoscopic Gastrostomy in 2019 at Korean Medical Institutions.Gut and liver · 2024Article
- Exploring Endoscopic Competence in Gastroenterology Training: A Simulation-Based Comparative Analysis of GAGES, DOPS, and ACE Assessment Tools.Advances in medical education and practice · 2024Article
- There is no royal road: a shortcut for endoscopic submucosal dissection training.Clinical endoscopy · 2023Article
- EUS and ERCP training in Europe: Time for simulation, optimization, and standardization.United European gastroenterology journal · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The apprenticeship-based training method (ABTM) is highly effective for gastrointestinal (GI) endoscopic training. However, the conventional ABTM has significant issues. Although many supplementary training methods (TMs) have been developed and utilized, they cannot entirely replace the ABTM, which remains the major TM strategy. Currently, new TM construction is crucial and necessary due to financial constraints, difficulty of obtaining sufficient training time due to patient safety-related regulations, and catastrophic damage caused by disasters such as the coronavirus disease 2019 pandemic. The simulator-based TM (SBTM) is widely accepted as an alternative to the ABTM, owing to the SBTM's advantages. Since the 1960s, many GI endoscopy training simulators have been developed and numerous studies have been published on their effectiveness. While previous studies have focused on the simulator's validity, this review focused on the accessibility of simulators that were introduced by the end of 2021. Although the current SBTM is effective in GI endoscopic education, extensive improvements are needed to replace the ABTM. Incorporating simulator-incorporated TMs into an improved ABTM is an attempt to overcome the incompleteness of the current SBTM. Until a new simulator is developed to replace the ABTM, it is desirable to operate a simulator-integrated and well-coordinated TM that is suitable for each country and institution.
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Registered trials
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.