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[Comment] Contemporary cardiovascular risk prediction

Cardiovascular disease remains an important health problem, accounting for 3·9 million deaths every year in Europe alone.1 To reduce the incidence of cardiovascular disease, risk prediction models are widely used for risk-tailored management, such as antihypertensive and lipid-lowering treatment. More than 350 risk prediction models have been developed for cardiovascular disease in the past decades. These models are mainly based on long-standing cohort data, but only a few models have been validated externally to test their generalisability in present settings.

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