ArticleBMC gastroenterology2025
Factors predicting conversion from colon capsule endoscopy to conventional optical endoscopy-findings from the CESCAIL study.
Article in BMC gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient-Level Predictors of Procedural Success in Colon Capsule Endoscopy: A Systematic Review and Meta-Analysis.Journal of gastroenterology and hepatology · 2026Pooled it
- Associations between patient characteristics and completeness of colon capsule endoscopy in colorectal cancer screening participants: a cross-sectional study.BMJ open gastroenterology · 2026Article
- Expected Values of Artificial Intelligence in Colon Capsule Endoscopy: Artificial Intelligence in Capsule Endoscopy Consortium Position Statement.Endoscopy international open · 2026Article
- Comment on Altobelli et al. Colon Capsule Endoscopy as a Promising Diagnostic Tool in Colorectal Cancer: A Systematic Review and Network Meta-Analysis.Diagnostics (Basel, Switzerland) · 2025Article
- Article
- Clinical Prediction Models to Guide the Selection of Patients for Colon Capsule Endoscopy Versus Colonoscopy Following FIT-Positive Screening.Cancer control : journal of the Moffitt Cancer CenterArticle
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Authors and funding
19 authors.
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Abstract
backgroundColon capsule endoscopy (CCE) has become an alternative to traditional colonoscopy for low-risk patients. However, CCE's low completion rate and inability to take biopsies or remove polyps often result in a CCE-to-conventional colonoscopy conversion (CCC). OBJECTIVE(S): The aim is to identify the factors that predict issues with bowel cleansing, capsule excretion rates, pathology detection, and the need for CCC.
methodsThis prospective study analysed data from patients who underwent CCE as part of the CESCAIL study from Nov 2021 till June 2024. Predictive factors were examined for their association with CCC, including patient demographics, comorbidities, medications, and laboratory results from symptomatic and surveillance groups. Statistical methods such as LASSO, linear, and logistic regression were applied.
resultsSix hundred and three participants were analysed. Elevated f-Hb levels (OR = 1.48, 95% CI:1.18-1.86, p = 0.0002) and smoking (OR = 1.44, 95% CI: 1.01-2.11, p = 0.047) were significantly associated with CCC. The area under the curve (AUC) of elevated f-Hb for predicting CCC was 0.62 after adjusting for confounders. Diabetes was linked to poor bowel preparation (OR = 0.40, 95%CI:0.18-0.87, p = 0.022). Alcohol (p = 0.004), smoking (p = 0.003), psychological conditions (p = 0.001), and haemoglobin levels (p = 0.046) were significantly associated with the number of polyps, whilst antidepressants (p = 0.003) and beta-blockers (p = 0.001) were linked to the size of polyps.
conclusionNon-smokers with lower f-Hb levels are less likely to need conventional colonoscopy (CCC). Patient selection criteria are key to minimising the colonoscopy conversion rate. Our findings would benefit from validation in different populations to develop a robust CCE Conversion Scoring System (CECS) and ultimately improve the cost-effectiveness.
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