A large cohort of eligible patients were included in the analysis, and classified into derivation and validation cohorts at a ratio of 7:3. Demographic and clinicopathological characteristics of participants were utilized to develop a prediction model for colorectal advanced polyps. In the derivation cohort, the LASSO regression method was applied to filter variables and multivariate logistic regression analysis was used to identify important predictors.A prediction model was established based on the results of multivariate logistic regression analysis. The predictive performance of the model was evaluated with respect to its discrimination, calibration and clinical usefulness.
The study aimed to analyze the risk factors of colorectal advanced adenoma and constructe a model to predict the high-risk individuals of harbouring colorectal advanced adenomas, so as to better identify screening participants and provide an important theoretical basis for the prevention of colorectal cancer.