Developing and Validating a Lung Cancer Risk Prediction Model: A Nationwide Population-Based Study.

ABSTRACT: Lung cancer can be challenging to diagnose in the early stages, where treatment options are optimal. We aimed to develop 1-year prediction models for the individual risk of incident lung cancer for all individuals aged 40 or above living in Denmark on 1 January 2017. The study was conducted using population-based registers on health and sociodemographics from 2007-2016. We applied backward selection on all variables by logistic regression to develop a risk model for lung cancer and applied the models to the validation cohort, calculated receiver-operating characteristic curves, and estimated the corresponding areas under the curve (AUC). In the populations without and with previously confirmed cancer, 4274/2,826,249 (0.15%) and 482/172,513 (0.3%) individuals received a lung cancer diagnosi

SUBMITTER: Rubin KH 

PROVIDER: S-EPMC9856360 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature