ReviewClinical endoscopy2025
Advancing colonoscopy training: tailored strategies and simulation-based models for skill mastery.
Review in Clinical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective endoscopy training begins by assessing the trainee's experience and identifying their skill level: beginners, learners, independent practitioners, or experts. Beginners focus on basic tasks, such as cecal intubation, while advanced trainees refine efficiency and complex techniques. Training prioritizes conscious competence through deliberate practice, reflection, and verbalizing actions; this enhances mindfulness and procedural expertise. Clear communication, standardized terminology, and constructive feedback ensure safety, confidence, and skill retention. SMART objectives-specific, measurable, achievable, relevant, and timely-help structure sessions for skill development and mastery. Simulation-based models support training at all the levels. Beginners benefit from cost-effective low-fidelity bench models and virtual reality (VR) simulators, which offer realistic tactile feedback and customizable scenarios. Studies have shown that both low- and high-fidelity models can effectively teach basic skills, although VR is preferred for foundational training. Advanced trainees utilize animal-based models for therapeutic interventions, three-dimensional printed models for pathology-specific practice, and hybrid models that combine VR and physical elements for enhanced realism. Augmented reality and haptic feedback systems refine advanced skills, but face developmental and cost challenges. Mentored live patient models excel in real-world decision-making, but raise ethical concerns. Training is tailored to individual needs, and competency-based training ensures mastery at each stage, from beginners to advanced practitioners.
Indexed as
Identifiers
What OpenQuestion holds
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.