Improved risk scoring systems for colorectal cancer screening in Shanghai, China.

ABSTRACT:

Background

An optimal risk-scoring system enables more targeted offers for colonoscopy in colorectal cancer (CRC) screening. This analysis aims to develop and validate scoring systems using parametric and non-parametric methods for average-risk populations.

Methods

Screening data of 807,695 subjects and 2806 detected cases in the first-round CRC screening program in Shanghai were used to develop risk-predictive models and scoring systems using logistic-regression (LR) and artificial-neural-network (ANN) methods. Performance of established scoring systems was evaluated using area under the receiver operating characteristic curve (AUC), calibration, sensitivity, specificity, number of high-risk individuals and potential detection rates of CRC.

Results

Age, sex, CRC in f

SUBMITTER: Wu WM 

PROVIDER: S-EPMC9089226 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature