Unknown

Dataset Information

Comparative Study of Predictive Models for the Detection of Patients at High Risk of Inadequate Colonic Cleansing.


ABSTRACT: Background: Various predictive models have been published to identify outpatients with inadequate colonic cleansing who may benefit from intensified preparations to improve colonoscopy quality. The main objective of this study was to compare the accuracy of three predictive models for identifying poor bowel preparation in outpatients undergoing colonoscopy. Methods: This cross-sectional study included patients scheduled for outpatient colonoscopy over a 3-month period. We evaluated and compared three predictive models (Models 1-3). The quality of colonic cleansing was assessed using the Boston Bowel Preparation Scale. We calculated the area under the curve (AUC) and the corresponding 95% confidence interval for each model. Additionally, we performed simple and multiple logist

SUBMITTER: Gimeno-Garcia AZ 

PROVIDER: S-EPMC10820399 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature