This prospective case-control study aimed to analyze and summarize the high-risk factors and susceptible genes of patients with colorectal polyps. According to these high-risk factors, the investigators developed and validated a prediction model for colorectal polyps to identify high-risk individuals, in order to provide clinical basis for the etiology research and the establishment of effective preventive measures.
A large cohort of eligible participants 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 polyps. In the derivation cohort, the LASSO regression method was applied to filter variables and select the most useful high-risk factors. Multivariate logistic regression analysis was used to identify potential predictors and then a prediction model was established. The predictive performance of the model was evaluated with respect to its discrimination, calibration and clinical usefulness.
Study Type
OBSERVATIONAL
Enrollment
2,800
The First Affiliated Hospital with Nanjing Medical University
Nanjing, Jiangsu, China
Demographic and clinicopathological characteristics of participants with polyps
demographic and clinicopathological characteristics
Time frame: 1 year
Independent high-risk factors of participants with polyps
high-risk factors
Time frame: 1 year
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