Key result
Ten cardiovascular prediction models showed moderate discrimination (c-statistics 0.54-0.76) for predicting CVD or CHD in type 2 diabetes, requiring recalibration for accurate risk estimation.
Why the study?
Do cardiovascular prediction models accurately estimate the risk of CVD or CHD in patients with type 2 diabetes?
Population
2,211 type 2 diabetes patients without pre-existing cardiovascular disease from the EPIC-NL, EPIC-Potsdam…
Design
Cohort
Authors
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Existing models require recalibration before use in type 2 diabetes; leaves open whether diabetes-specific models can improve discrimination.
Observational (n=2,211)
Yes
Do cardiovascular prediction models accurately estimate the risk of CVD or CHD in patients with type 2 diabetes?
Effect estimate: c-statistic 0.54 to 0.76
Cardiovascular prediction models for type 2 diabetes patients have moderate discriminative ability and require recalibration to the target population to provide accurate risk estimates.
Leeuw et al. (2014) conducted an observational in Type 2 diabetes mellitus (n=2,211). 10 cardiovascular prediction models was evaluated on Risk of CVD or coronary heart disease (CHD) (c-statistic 0.54 to 0.76). Ten cardiovascular prediction models showed moderate discrimination (c-statistics 0.54-0.76) for predicting CVD or CHD in type 2 diabetes, requiring recalibration for accurate risk estimation.
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