Risk Prediction Models for Patients with Head and Neck Cancer among the Taiwanese Population.

ABSTRACT: Epidemiological evidence has suggested that modifiable lifestyle factors play a significant role in the risk of head and neck cancer (HNC). However, few studies have established risk prediction models of HNC based on sex and tumor subsites. Therefore, we predicted HNC risk by creating a risk prediction model based on sex- and tumor subsites for the general Taiwanese population. This study adopted a case-control study design, including 2961 patients with HNC and 11,462 healthy controls. Multivariate logistic regression and nomograms were used to establish HNC risk prediction models, which were internally validated using bootstrap sampling. The multivariate logistic regression model indicated that age, education level, alcohol consumption, cigarette smoking, passive smoking, coffee consumpti

SUBMITTER: Yu MZ 

PROVIDER: S-EPMC9657226 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature