The Impact of a Comprehensive Risk Prediction Model for Colorectal Cancer on a Population Screening Program.

ABSTRACT:

Background

In many countries, population colorectal cancer (CRC) screening is based on age and family history, though more precise risk prediction could better target screening. We examined the impact of a CRC risk prediction model (incorporating age, sex, lifestyle, genomic, and family history factors) to target screening under several feasible screening scenarios.

Methods

We estimated the model's predicted CRC risk distribution in the Australian population. Predicted CRC risks were categorized into screening recommendations under 3 proposed scenarios to compare with current recommendations: 1) highly tailored, 2) 3 risk categories, and 3) 4 sex-specific risk categories. Under each scenario, for 35- to 74-year-olds, we calculated the number of CRC screens by immunochemical

SUBMITTER: Saya S 

PROVIDER: S-EPMC7583148 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature