Low-cost strategies to predict cardiovascular disease.
In this commentary, we discuss the potential utility of low-cost screening algorithms for the prediction of risk for cardiovascular disease. Strategies such as these might enhance screening and prevention programs but require validation. Testing the usefulness of low-cost prediction models in developing regions is the next logical step in carrying this concept forward.
Wilson
Peter W F
PW
Emory University, Atlanta, GA 30306, USA. peter.wf.wilson@emory.edu
Narayan
K M Venkat
KM
D000465:Algorithms; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000209:etiology / Q000517:prevention & control; D006305:Health Status Indicators; D006801:Humans; D008403:Mass Screening / Q000191:economics / Q000379:methods; D008954:Models, Biological; D011237:Predictive Value of Tests; D018570:Risk Assessment; D012307:Risk Factors