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Dataset Information

Risk-based prediction model for selecting eligible population for lung cancer screening among ever smokers in Korea.


ABSTRACT:

Background

This study developed a new lung cancer risk prediction model for the Korean population and evaluated the performance, compared to the previously reported risk models developed in Western countries.

Methods

Among the 6,811,893 people who received health examinations from the Korean National Health Insurance Service, 969,351 ever-smokers (40-79 years) were included. Performance of Bach, Lung Cancer Risk Models for Screening, PLCOM2012, Pittsburgh, and Liverpool Lung Project models were evaluated. The ever-smokers were divided into the training and validation datasets by random sampling. The lung cancer risk model was developed and validated in the Korean population. The efficiency of model-based selection for lung cancer screening was compared with the eligible crit

SUBMITTER: Park B 

PROVIDER: S-EPMC8743515 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature