Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank.

ABSTRACT:

Objectives

UK Biobank is a UK-wide cohort of 502,655 people aged 40-69, recruited from National Health Service registrants between 2006-10, with healthcare data linkage. Type 2 diabetes is a key exposure and outcome. We developed algorithms to define prevalent and incident diabetes for UK Biobank. The algorithms will be implemented by UK Biobank and their results made available to researchers on request.

Methods

We used UK Biobank self-reported medical history and medication to assign prevalent diabetes and type, and tested this against linked primary and secondary care data in Welsh UK Biobank participants. Additionally, we derived and tested algorithms for incident diabetes using linked primary and secondary care data in the English Clinical Practice Research Datalink, and

SUBMITTER: Eastwood SV 

PROVIDER: S-EPMC5025160 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature