Ontology highlight
ABSTRACT: Objectives
Common data sources that examine cancer survival provide limited information on health behaviors or social determinants of health. We linked individual-level cancer registry data to county-level data to examine differences in survival among people diagnosed with lung cancer.Methods
We linked 2010-2020 National Program of Cancer Registries survival data from 40 registries, covering 85% of the US population, to county-level data on current age-adjusted cigarette smoking prevalence, average daily density of fine particulate matter (PM2.5) in µg/m3 (fine particulate pollution), and overall social vulnerability. We generated Kaplan-Meier survival curves and used multivariable Cox proportional hazards regression to examine overall and cause-specif
SUBMITTER: Kava CM
PROVIDER: S-EPMC12851918 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature