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Dataset Information

Development and Validation of Lifestyle-Based Models to Predict Incidence of the Most Common Potentially Preventable Cancers.


ABSTRACT:

Background

Most risk models for cancer are either specific to individual cancers or include complex or predominantly non-modifiable risk factors.

Methods

We developed lifestyle-based models for the five cancers for which the most cases are potentially preventable through lifestyle change in the UK (lung, colorectal, bladder, kidney, and esophageal for men and breast, lung, colorectal, endometrial, and kidney for women). We selected lifestyle risk factors from the European Code against Cancer and obtained estimates of relative risks from meta-analyses of observational studies. We used mean values for risk factors from nationally representative samples and mean 10-year estimated absolute risks from routinely available sources. We then assessed the performance of the models in

SUBMITTER: Usher-Smith JA 

PROVIDER: S-EPMC6330056 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature