Unknown

Dataset Information

Colorectal cancer risk prediction tool for white men and women without known susceptibility.


ABSTRACT:

Purpose

Given the high incidence of colorectal cancer (CRC), and the availability of procedures that can detect disease and remove precancerous lesions, there is a need for a model that estimates the probability of developing CRC across various age intervals and risk factor profiles.

Methods

The development of separate CRC absolute risk models for men and women included estimating relative risks and attributable risk parameters from population-based case-control data separately for proximal, distal, and rectal cancer and combining these estimates with baseline age-specific cancer hazard rates based on Surveillance, Epidemiology, and End Results (SEER) incidence rates and competing mortality risks.

Results

For men, the model included a cancer-negative sigmoidoscopy/col

SUBMITTER: Freedman AN 

PROVIDER: S-EPMC2645090 | biostudies-literature | 2009 Feb

REPOSITORIES: biostudies-literature