Construction and case study of a novel lung cancer risk index.

ABSTRACT:

Purpose

This study constructs a lung cancer risk index (LCRI) that incorporates many modifiable risk factors using an easily reproducible and adaptable method that relies on publicly available data.

Methods

We used meta-analysis followed by Analytic Hierarchy Process (AHP) to generate a lung cancer risk index (LCRI) that incorporates seven modifiable risk factors (active smoking, indoor air pollution, occupational exposure, alcohol consumption, secondhand smoke exposure, outdoor air pollution, and radon exposure) for lung cancer. Using county-level population data, we then performed a case study in which we tailored the LCRI for use in the state of Illinois (LCRI_IL).

Results

For both the LCRI and the LCRI_IL, active smoking had the highest weights

SUBMITTER: Faghani A 

PROVIDER: S-EPMC9724373 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature