Colorectal Polyp
Conditions
Brief summary
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.
Detailed description
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.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Subject aged ≥18 and ≤80 years old. Subject with complete data on demography and clinicopathology.
Exclusion criteria
\- Subject with inflammatory bowel disease, enterophthisis, familial adenomatous polyposis, P-J syndrome and intestinal lymphoma. A history of severe systemic diseases: liver cirrhosis, metabolic syndrome, chronic kidney disease, malignancy. Subject taking blood lipid-lowering drugs, hormone or immunosuppressive agents. Unwillingness to cooperate with questionnaire survey. Lack of complete clinical data for analysis.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Demographic and clinicopathological characteristics of participants with polyps | 1 year | demographic and clinicopathological characteristics |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Independent high-risk factors of participants with polyps | 1 year | high-risk factors |
Countries
China