Ontology highlight
ABSTRACT: Objectives
In resource-constrained settings, cancer epidemiology research typically relies on self-reported diagnoses. To test a more systematic alternative approach, we assessed the feasibility of linking a cohort with a cancer registry.Setting
Data linkage was performed between a population-based cohort in Chennai, India, with a local population-based cancer registry.Participants
Data set of Centre for Cardiometabolic Risk Reduction in South-Asia (CARRS) cohort participants (N=11 772) from Chennai was linked with the cancer registry data set for the period 1982-2015 (N=140 986).Methods and outcome measures
Match*Pro, a probabilistic record linkage software, was used for computerised linkages followed by manual review of high scoring records. The variables
SUBMITTER: Aggarwal A
PROVIDER: S-EPMC9990691 | biostudies-literature | 2023 Mar
REPOSITORIES: biostudies-literature