Screening for type 2 diabetes in primary care

doi:10.1136/bmj.b973

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Peter E H Schwarz, professor for prevention and care of diabetes ,
Jiang Li, public health researcher,
Stefan R Bornstein, chair of medicine

¹Department of Medicine III, Medical Faculty Carl Gustav Carus of the Technical University Dresden, 01307 Dresden, Germany

peter.schwarz{at}uniklinikum-dresden.de

The QDScore is a useful computer based screening tool

In the linked study (doi:10.1136/bmj.b880), Hippisley-Cox and colleagues present a new score that was developed and validated in a large prospective cohort to estimate the risk of acquiring type 2 diabetes over a 10 year period. This score is unique in that it considers social deprivation and ethnicity in a standardised algorithm.1 The advantage of the QDScore is that it systematically uses electronically recorded medical data available in clinical practice. The algorithm does not require laboratory tests and can be used in clinical settings and for self assessment.

Several risk prediction tools based on the risk factors for type 2 diabetes have been developed.2 Measures of performance of a screening tool should consider …