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Derivation and Validation of a Prediction Rule for Estimating Advanced Colorectal Neoplasm Risk in Average-Risk Chinese.

Authors :
Cai, Quan-Cai
Yu, En-Da
Xiao, Yi
Bai, Wen-Yuan
Chen, Xing
He, Li-Ping
Yang, Yu-Xiu
Zhou, Ping-Hong
Jiang, Xue-Liang
Xu, Hui-Min
Fan, Hong
Ge, Zhi-Zheng
Lv, Nong-Hua
Huang, Zhi-Gang
Li, You-Ming
Ma, Shu-Ren
Chen, Jie
Li, Yan-Qing
Xu, Jian-Ming
Xiang, Ping
Source :
American Journal of Epidemiology; Mar2012, Vol. 175 Issue 6, p584-593, 10p
Publication Year :
2012

Abstract

No prediction rule is currently available for advanced colorectal neoplasms, defined as invasive cancer, an adenoma of 10 mm or more, a villous adenoma, or an adenoma with high-grade dysplasia, in average-risk Chinese. In this study between 2006 and 2008, a total of 7,541 average-risk Chinese persons aged 40 years or older who had complete colonoscopy were included. The derivation and validation cohorts consisted of 5,229 and 2,312 persons, respectively. A prediction rule was developed from a logistic regression model and then internally and externally validated. The prediction rule comprised 8 variables (age, sex, smoking, diabetes mellitus, green vegetables, pickled food, fried food, and white meat), with scores ranging from 0 to 14. Among the participants with low-risk (≤3) or high-risk (>3) scores in the validation cohort, the risks of advanced neoplasms were 2.6% and 10.0% (P < 0.001), respectively. If colonoscopy was used only for persons with high risk, 80.3% of persons with advanced neoplasms would be detected while the number of colonoscopies would be reduced by 49.2%. The prediction rule had good discrimination (area under the receiver operating characteristic curve = 0.74, 95% confidence interval: 0.70, 0.78) and calibration (P = 0.77) and, thus, provides accurate risk stratification for advanced neoplasms in average-risk Chinese. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
00029262
Volume :
175
Issue :
6
Database :
Complementary Index
Journal :
American Journal of Epidemiology
Publication Type :
Academic Journal
Accession number :
73764628
Full Text :
https://doi.org/10.1093/aje/kwr337