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Retinal vascular signs in diabetes and hypertension - review

Overview of attention for article published in Archives of Endocrinology and Metabolism, May 2007
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Title
Retinal vascular signs in diabetes and hypertension - review
Published in
Archives of Endocrinology and Metabolism, May 2007
DOI 10.1590/s0004-27302007000200027
Pubmed ID
Authors

Gerald Liew, Jie Jin Wang

Abstract

The retinal vasculature is a unique site where the microcirculation can be noninvasively imaged in vivo. This presents an opportunity to study otherwise inaccessible structural features of the microcirculation. Recently, a number of population-based studies have developed quantitative methods of measuring these retinal signs, and investigated how these signs relate to metabolic disorders such as diabetes, hypertension, obesity, and metabolic syndrome. These studies have reported fairly consistent associations of retinopathy lesions, arteriolar narrowing and venular dilation with these metabolic disorders, suggesting a microvascular component in either the pathogenesis or manifestation of these disorders. Further, several of these signs have been associated with future risk of cardiovascular outcomes, such as coronary heart disease and stroke, independently of traditional risk factors. This review will examine in detail the evidence linking retinal vascular signs with metabolic disorders and discuss their implications for research and clinical practice.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Student > Postgraduate 5 15%
Student > Bachelor 4 12%
Student > Doctoral Student 3 9%
Student > Ph. D. Student 3 9%
Other 5 15%
Unknown 8 24%
Readers by discipline Count As %
Medicine and Dentistry 14 42%
Agricultural and Biological Sciences 3 9%
Computer Science 2 6%
Engineering 2 6%
Psychology 1 3%
Other 2 6%
Unknown 9 27%