Clinical Trials Logo

Clinical Trial 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.


Clinical Trial 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. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04684134
Study type Observational [Patient Registry]
Source The First Affiliated Hospital with Nanjing Medical University
Contact
Status Completed
Phase
Start date June 1, 2019
Completion date June 1, 2020

See also
  Status Clinical Trial Phase
Completed NCT04192565 - A Prospective Investigation of the ColubrisMX ELS System N/A
Recruiting NCT04516785 - Reducing Colonoscopies in Patients Without Significant Bowel Disease
Not yet recruiting NCT05776381 - The Impact of a Patient Decision Aid on Treatment Choices for Patients With an Unexpected Malignant Colorectal Polyp Phase 2
Recruiting NCT05660317 - Assessment of Endoscopic Tip Control Using a Novel Score Based on the Snare Tip Soft Coagulation of Polypectomy Margin Defects
Recruiting NCT06040632 - IMPROVE-pT1: Accurate Allocation of Completion Resection in Early Colorectal Cancer
Withdrawn NCT05606081 - Predicting Risk for Post-polypectomy Colorectal Cancer N/A
Recruiting NCT05576506 - Application of Hyperspectral Imaging Analysis Technology in the Diagnosis of Colorectal Cancer Based on Colonoscopic Biopsy
Not yet recruiting NCT05545189 - Polyp Histology Prediction by Artificial Intelligence
Recruiting NCT06032104 - Feasibility and Colorectal Benefits of Pulses Supplementation N/A
Completed NCT05477836 - Feasibility and Safety of MiWEndo-assisted Colonoscopy N/A
Completed NCT04111601 - BLI Based Adenoma Surveillance Strategy
Completed NCT03822390 - Diagnostic Performance of a Convolutional Neural Network for Diminutive Colorectal Polyp Recognition
Recruiting NCT05545787 - Cold or Hot Snare Endoscopic Mucosal Resection for 10-19mm Non-pedunculated Colorectal Polyps N/A
Recruiting NCT04149184 - Computer-aided Detection Device in Standard Colonoscopy N/A
Recruiting NCT03359343 - Computer-assisted Diagnosis System Based on Linked Colour Imaging N/A
Completed NCT04349787 - Improving Optical Diagnosis of Colorectal Polyps Using CADx and BASIC.
Not yet recruiting NCT05041478 - Cold Snare Endoscopic Mucosal Resection (EMR) vs Cold EMR With Margin Snare Tip Soft Coagulation (STSC) N/A
Active, not recruiting NCT05846295 - Online Education Module to Accurately Classify Polyp Size N/A
Completed NCT03712059 - National Colorectal Polyp Care
Not yet recruiting NCT06193356 - Detection of Endoscopic Resection Scars and Delineation of Recurrence is Trainable N/A