ArticleWorld journal of gastroenterology2025
Personalizing withdrawal time by insertion time to achieve target adenoma detection rate in colonoscopy.
Article in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Insertion time as a proxy for procedural complexity: Refining its role in predictive models of adenoma detection.World journal of gastroenterology · 2025Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAdenoma detection rate (ADR), a key colonoscopy quality metric, varies with patient demographics and procedural factors.
aimTo identify independent predictors of ≥ 25% ADR, develop a risk model, and propose withdrawal durations based on different insertion times.
methodsWe retrospectively analyzed 830 cases using logistic regression and identified four key factors, validated in a prospective cohort of 5699 patients. Their importance was confirmed using random forest (RF), extreme gradient boosting (XGBoost) and light gradient boosting machine (LightGBM). Attempts to determine target-achieving withdrawal time by grouping cases based on insertion time and Cox regression were inconclusive. Using the 5699-case dataset, we developed a predictive model combining support vector machine (SVM) with XGBoost. We built a Shiny app using this model for clinical application.
resultsMultivariate logistic regression identified age [odds ratio (OR) = 1.05; 95% confidence interval (CI): 1.03-1.08;
conclusionA hybrid SVM-XGBoost model using four key endoscopic factors was independently validated and is available as a Shiny app, delivering real-time decision support to streamline endoscopy and enhance clinical outcomes.
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