ArticleProceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2025
Polyp Detection in Colonoscopy Training: A Qualitative Analysis of Resident Challenges and Expert Strategies.
Article in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- See more, detect more: investigating colonic inspection techniques and polyp detection using machine learning.Surgical endoscopy · 2026Article
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
Abstract
Colorectal cancer (CRC) is a leading cause of mortality, with early detection through colonoscopy being crucial for reducing death rates. However, up to 26% of precancerous polyps are missed during procedures, largely due to variability in physician skill. Simulation-based training (SBT) has the potential to improve patient outcomes in colonoscopy by reducing cecal intubation time. Particularly through physical simulator (PS) which offer more realistic experiences than virtual simulators. Despite their realism, PS often lack integrated feedback, limiting their effectiveness in improving polyp detection (PD). This study demonstrated that experts achieved higher polyp detection (PD) and cecal intubation rates compared to residents, identified some of the challenges residents face during colonoscopy particularly in navigation, scope manipulation, and fold inspection-and contrasts them with expert strategies. Experts employ techniques such as thorough fold inspection, lumen centering, re-advancement, and slow withdrawal to enhance PD. These insights emphasize the need for targeted feedback within PS-based training to bridge the skill gap and reduce polyp miss rates. Developing feedback-driven training strategies during PS-based training using these expert strategies may potentially reduce polyp miss rates and improve CRC screening outcomes.
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.