Article ; Online: Development and validation of a prediction model for early screening of people at high risk for colorectal cancer.
World journal of gastroenterology
2023 Volume 30, Issue 5, Page(s) 450–461
Abstract: Background: Colorectal cancer (CRC) is a serious threat worldwide. Although early screening is suggested to be the most effective method to prevent and control CRC, the current situation of early screening for CRC is still not optimistic. In China, the ... ...
| Abstract | Background: Colorectal cancer (CRC) is a serious threat worldwide. Although early screening is suggested to be the most effective method to prevent and control CRC, the current situation of early screening for CRC is still not optimistic. In China, the incidence of CRC in the Yangtze River Delta region is increasing dramatically, but few studies have been conducted. Therefore, it is necessary to develop a simple and efficient early screening model for CRC. Aim: To develop and validate an early-screening nomogram model to identify individuals at high risk of CRC. Methods: Data of 64448 participants obtained from Ningbo Hospital, China between 2014 and 2017 were retrospectively analyzed. The cohort comprised 64448 individuals, of which, 530 were excluded due to missing or incorrect data. Of 63918, 7607 (11.9%) individuals were considered to be high risk for CRC, and 56311 (88.1%) were not. The participants were randomly allocated to a training set (44743) or validation set (19175). The discriminatory ability, predictive accuracy, and clinical utility of the model were evaluated by constructing and analyzing receiver operating characteristic (ROC) curves and calibration curves and by decision curve analysis. Finally, the model was validated internally using a bootstrap resampling technique. Results: Seven variables, including demographic, lifestyle, and family history information, were examined. Multifactorial logistic regression analysis revealed that age [odds ratio (OR): 1.03, 95% confidence interval (CI): 1.02-1.03, Conclusion: The early-screening nomogram model for CRC prediction in high-risk populations developed in this study based on age, BMI, WC, lifestyle, and family history exhibited high accuracy. |
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| MeSH term(s) | Humans ; Colorectal Neoplasms/diagnosis ; Colorectal Neoplasms/epidemiology ; Early Detection of Cancer/methods ; Nomograms ; Random Allocation ; Retrospective Studies ; Risk Factors |
| Language | English |
| Publishing date | 2023-10-26 |
| Publishing country | United States |
| Document type | Journal Article ; Validation Study |
| ZDB-ID | 2185929-2 |
| ISSN | 2219-2840 ; 1007-9327 |
| ISSN (online) | 2219-2840 |
| ISSN | 1007-9327 |
| DOI | 10.3748/wjg.v30.i5.450 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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