Risk assessment and prediction for lung cancer among Hong Kong Chinese men.

ABSTRACT:

Objective

Most of the previous risk prediction models for lung cancer were developed from smokers, with discriminatory power ranging from 0.57 to 0.72. We constructed an individual risk prediction model for lung cancer among the male general population of Hong Kong.

Methods

Epidemiological data of 1,069 histology confirmed male lung cancer cases and 1,208 community controls were included in this analysis. Residential radon exposure was retrospectively reconstructed based on individual lifetime residential information. Multivariable logistic regression with repeated cross-validation method was used to select optimal risk predictors for each prediction model for different smoking strata. Individual absolute risk for lung cancer was estimated by Gail model. Receiver-operator ch

SUBMITTER: Tse LA 

PROVIDER: S-EPMC9145456 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature