Ontology highlight
ABSTRACT: Background
Ovarian cancer (OC) has the worst prognosis and highest death rate of all gynaecological cancers in the USA. We examined the independent effects of individual-, neighbourhood-, and state-level factors on ovarian cancer incidence using a multilevel analytical framework.Methods
In this retrospective cohort study, we analysed de-identified data from the All of Us research database, identifying women ≥18 years without prior ovarian cancer before January 2017. Participants were followed from 1 January 2017 through October 2023 (median follow-up: 6.6 years). Mixed-effects Cox regression models examined data on 85 388 individuals nested within ZIP-code areas and states, analysing individual-level risk factors and neighbourhood-level socioeconomic determinants, while acc
SUBMITTER: Adekanmbi V
PROVIDER: S-EPMC12659798 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature