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Subclinical Cardiovascular Disease Assessment in Persons with Diabetes

Overview of attention for article published in Current Cardiology Reports, March 2013
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Title
Subclinical Cardiovascular Disease Assessment in Persons with Diabetes
Published in
Current Cardiology Reports, March 2013
DOI 10.1007/s11886-013-0358-2
Pubmed ID
Authors

Haider Javed Warraich, Khurram Nasir

Abstract

Patients with diabetes mellitus are at particularly high risk for cardiovascular disease. Although global risk factor scoring systems, such as the Framingham Risk Score, are well established for screening asymptomatic adults, they are not as predictive in diabetics. Therefore, there has been considerable interest in new screening tests to establish cardiovascular risk in diabetics. Coronary artery calcium assessment, both baseline levels and progression, have been shown to be additive to risk factor scoring systems and are independently predictive of cardiovascular mortality in diabetics. Current American Heart Association/American College of Cardiology Foundation guidelines recommend coronary calcium scoring for asymptomatic diabetics. Myocardial perfusion studies are recommended for patients with a coronary calcium score >400 but the level of evidence is poor. The data for other screening tests is limited. Further research is required into assessing what would be an appropriate follow-up duration for serial coronary calcium scanning.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Researcher 5 17%
Student > Bachelor 4 13%
Student > Doctoral Student 3 10%
Professor > Associate Professor 3 10%
Other 5 17%
Unknown 5 17%
Readers by discipline Count As %
Medicine and Dentistry 15 50%
Psychology 2 7%
Immunology and Microbiology 1 3%
Economics, Econometrics and Finance 1 3%
Computer Science 1 3%
Other 4 13%
Unknown 6 20%