ReviewWorld journal of gastroenterology2015
Learning models for endoscopic ultrasonography in gastrointestinal endoscopy.
Review in World journal of gastroenterology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An optimal curriculum for training in endoscopic ultrasound: a summarized evidence-based literature systematic review.Surgical endoscopy · 2025Pooled it
- Application value of an artificial intelligence-based diagnosis and recognition system in gastroscopy training for graduate students in gastroenterology: a preliminary study.Wiener medizinische Wochenschrift (1946) · 2024Trial
- Endoscopic ultrasound training: Current state, challenges, and the path to proficiency.World journal of gastrointestinal endoscopy · 2025Review
- Advanced Endoscopy: Future Training Perspectives and Tracks.Current gastroenterology reports · 2025Review
- A new minimally invasive porcine model for the study of intrahepatic bile duct dilatation.Surgical endoscopy · 2021Article
- Simulators in Training for Upper Gastrointestinal Endoscopy.Gastroenterology & hepatology · 2019Article
- Training in Endoscopy: Endoscopic Ultrasound.Clinical endoscopy · 2017Review
- Learning curve for endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) of pancreatic lesions in a novel ex-vivo simulation model.Endoscopy international open · 2016Article
- Validation of a novel swine model for training in EUS-FNA (with videos).Endoscopic ultrasoundArticle
- Training in bariatric and metabolic endoscopy.Therapeutic advances in gastrointestinal endoscopyReview
- The use of simulation in medical ultrasound: Current perspectives on applications and practical implementation (WFUMB state-of-the-art paper).Endoscopic ultrasoundArticle
- A deep learning-based system for mediastinum station localization in linear EUS (with video).Endoscopic ultrasoundArticle
- EUS anatomy of the pancreatobiliary system in a swine model: The WISE experience.Endoscopic ultrasoundArticle
- Use of simulator for EUS training in the diagnosis of pancreatobiliary diseases.Endoscopic ultrasoundArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endoscopic ultrasonography (EUS) has become a useful diagnostic and therapeutic modality in gastrointestinal endoscopy. However, EUS requires additional training since it requires simultaneous endoscopic manipulation and ultrasonographic interpretation. Obtaining adequate EUS training can be challenging since EUS is highly operator-dependent and training on actual patients can be associated with an increased risk of complications including inaccurate diagnosis. Therefore, several models have been developed to help facilitate training of EUS. The models currently available for EUS training include computer-based simulators, phantoms, ex vivo models, and live animal models. Although each model has its own merits and limitations, the value of these different models is rather complementary than competitive. However, there is a lack of objective data regarding the efficacy of each model with recommendations on the use of various training models based on expert opinion only. Therefore, objective studies evaluating the efficacy of various EUS training models on technical and clinical outcomes are still needed.
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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.