Cardiovascular disease risk prediction for people with type 2 diabetes in a population-based cohort and in electronic health record data.

ABSTRACT:

Objective

Electronic health records (EHRs) have become a common data source for clinical risk prediction, offering large sample sizes and frequently sampled metrics. There may be notable differences between hospital-based EHR and traditional cohort samples: EHR data often are not population-representative random samples, even for particular diseases, as they tend to be sicker with higher healthcare utilization, while cohort studies often sample healthier subjects who typically are more likely to participate. We investigate heterogeneities between EHR- and cohort-based inferences including incidence rates, risk factor identifications/quantifications, and absolute risks.

Materials and methods

This is a retrospective cohort study of older patients with type 2 diabetes using EHR

SUBMITTER: Szymonifka J 

PROVIDER: S-EPMC7886535 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature