Methods to identify increased risk of coronary disease in the general population

doi:10.1136/bmj.327.7415.619

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Conclusion is oversimplification

Gerd Assmann, professor of laboratory medicine (assmann@uni-muenster.de),
Paul Cullen, research physician,
Helmut Schulte, statistician

Institute of Arteriosclerosis Research at the University of Muenster, Domagkstrasse 3, D-48149 Münster, Germany

EDITOR—Wilson et al assert that measuring cholesterol concentration only in people of at least 50 efficiently identifies those at high risk of coronary heart disease.1 This oversimplification results from a study with important defects.

Firstly, Wilson et al determined absolute risk of coronary heart disease by using the Sheffield tables and the underlying Framingham algorithm. …