Ontology highlight
ABSTRACT: Objectives
To better model underlying trends in cervical cancer incidence so as to model past trends, to estimate the impact of cervical screening on cervical cancer rates at different ages and to obtain a counterfactual baseline under a no-screening scenario.Design
Trend analysis of cancer registry data recorded between 1971 and 2013.Setting
England.Participants
132 493 women aged 20-84 with a diagnosis of cervical cancer.Outcome measure
Cervical cancer incidence data were modelled using a modified age period cohort model able to capture both increased exposure to human papillomavirus (HPV) as well as changes in the age of exposure to HPV in young cohorts. Observed rates were compared with counterfactual baseline rates under a no-screening scenario
SUBMITTER: Pesola F
PROVIDER: S-EPMC6347909 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature