Published online Feb 7, 2024. doi: 10.3748/wjg.v30.i5.450
Peer-review started: October 16, 2023
First decision: December 6, 2023
Revised: December 19, 2023
Accepted: January 12, 2024
Article in press: January 12, 2024
Published online: February 7, 2024
Processing time: 106 Days and 20.3 Hours
The establishment of early screening model for high risk of colorectal cancer (CRC) may become a potential new method for early screening. It is different from traditional invasive screening and is a noninvasive, simple and rapid screening methods. Although there are many studies on early screening model for high risk of CRC, there is still a lack of large sample size studies and clinical validation. Our study focused on collecting information in the general population who attended annual health checks. At the same time, this is also the first study with a large sample size for early screening for CRC in Ningbo, China, which was part of national early screening for CRC.
Constructing an early screening model for CRC high-risk groups by means of basic information such as lifestyle has gradually become a major topic in CRC early screening research, which is mainly aimed at solving the problem of the more complicated means of early screening for colorectal cancer high-risk groups.
This study aimed to establish an efficient early screening model to identify individuals at high risk of CRC, and reduce CRC prevalence and mortality.
This retrospective study included data from the health screening population in Ningbo Hospital, China from 2014 to 2017 to analyze the basic information, living habits and dietary habits, so that the early screening model of CRC was constructed and conducted for internal verification.
Retrospective analysis of 63918 individuals eligible for health screening, comprising studies with seven variables. The area under the curve was 0.734 [95% confidence interval (CI): 0.723-0.745] for the final validation set receiver operating characteristic curve (ROC) and 0.735 (95%CI: 0.728-0.742) for the training set ROC curve. The calibration curve demonstrated a high correlation between the CRC high-risk population predicted by the nomogram model and the actual CRC high-risk population.
This study has an early screening model for high risk of CRC based on basic population information, lifestyle and family history.
This study has the potential to revolutionize primary detection by accurately identifying groups at high risk of developing CRC.