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Dataset Information

Prediction of Lifetime and 10-Year Risk of Cancer in Individual Patients With Established Cardiovascular Disease.


ABSTRACT:

Background

Cardiovascular disease (CVD) and cancer share many common risk factors; patients with CVD also may be at risk of developing cancer.

Objectives

The aim of this study was to derive and externally validate prediction models for the estimation of lifetime and 10-year risk for total, colorectal, and lung cancer in patients with established CVD.

Methods

Data from patients with established CVD from the UCC-SMART cohort (N = 7,280) were used for model development, and from the CANTOS trial (N = 9,322) for model validation. Predictors were selected based on previously published cancer risk scores, clinical availability, and presence in the derivation dataset. Fine and Gray competing risk-adjusted lifetime models were developed for the outcomes total, colorectal, and

SUBMITTER: van 't Klooster CC 

PROVIDER: S-EPMC8352343 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature