Praise to Robust Prediction Modeling in Large Datasets

JACC CardioOncology, vol. 2, pp. 411–413

Abstract

I t is known that patients with cardiovascular dis- ease have a higher risk of cancer compared to the general population; this is likely attributable to the presence of several common risk factors such as smoking.Adequate estimation of absolute individual cancer risk requires the combination of such risk factors in clinical prediction models.In this issue of JACC: CardioOncology, a team of international researchers should be applauded for presenting a promising risk calculator for cancer in individual patients with cardiovascular disease (1).

Authors 2

1. Ewout Willem Steyerberg corresponding Aachen Department of Biomedical Data Sciences

   Leiden University Medical Center

   Affiliation as printed

   Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands

2. Edouard F. Bonneville Aachen Department of Biomedical Data Sciences

   Leiden University Medical Center

   Affiliation as printed

   Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, the Netherlands