A risk scoring system to predict the individual incidence of early-onset colorectal cancer.

ABSTRACT:

Background

The incidence of early-onset colorectal cancer (EOCRC) is increasing at an alarming rate and further studies are needed to identify risk factors and to develop prevention strategies.

Methods

Risk factors significantly associated with EOCRC were identified using meta-analysis. An individual risk appraisal model was constructed using the Rothman-Keller model. Next, a group of random data sets was generated using the binomial distribution function method, to determine nodes of risk assessment levels and to identify low, medium, and high risk populations.

Results

A total of 32,843 EOCRC patients were identified in this study, and nine significant risk factors were identified using meta-analysis, including male sex, Caucasian ethnicity, sedentary lifestyle, infl

SUBMITTER: Gu J 

PROVIDER: S-EPMC8801093 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature