Ontology highlight
ABSTRACT: Objective
To assess urban-rural differences in cancer mortality across definitions of rurality as (1) established binary cut-points, (2) data-driven binary cut-points, and (3) continuous.Methods
We used Surveillance, Epidemiology, and End Results (SEER) data between 2000 and 2016 to identify incident adult screening-related cancers. Analyses were based on one testing and four validation cohorts (all n = 26,587). Urban-rural status was defined by Rural-Urban Continuum Codes, National Center for Health Statistics codes, and the Index of Relative Rurality. Each was modeled using established binary cut-points, data-driven cut-points, and as continuous. The primary outcome was 5-year cancer-specific mortality.Results
Compared to established cut-points, data-driven cut-po
SUBMITTER: Davis ES
PROVIDER: S-EPMC10902199 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature