A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features-Reference-Cited by-同舟云学术

A multimodal approach to cardiovascular risk stratification in patients with type 2 diabetes incorporating retinal, genomic and clinical features

Published:2019-03-05 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Fetit Ahmed E.^ORCID,Doney Alexander S.,Hogg Stephen,Wang Ruixuan,MacGillivray Tom^ORCID,Wardlaw Joanna M.^ORCID,Doubal Fergus N.,McKay Gareth J.^ORCID,McKenna Stephen^ORCID,Trucco Emanuele^ORCID

Funder

RCUK | Engineering and Physical Sciences Research Council

RCUK | Medical Research Council

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-40403-1.pdf

Reference30 articles.

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2. Wong, T. Y. et al. Quantitative retinal venular caliber and risk of cardiovascular disease in older persons: the cardiovascular health study. Arch. Intern. Med. 166, 2388–94 (2006).

3. McGeechan, K. et al. Meta-analysis: retinal vessel caliber and risk for coronary heart disease. Ann. Intern. Med. 151, 404–413 (2009).

4. Poplin, R. et al. Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning. Nat. Biomed. Eng. 2, 158–164 (2018).

5. Sudlow, C. et al. UK Biobank: An open access resource for identifying the causes of a wide range of complex disease of middle and old age. PLOS Medicine. 12(3) (2015).

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