Prognostic value of the Framingham cardiovascular risk equation and the UKPDS risk engine for coronary heart disease in newly diagnosed Type 2 diabetes: results from a United Kingdom study-Reference-Cited by-同舟云学术

Prognostic value of the Framingham cardiovascular risk equation and the UKPDS risk engine for coronary heart disease in newly diagnosed Type 2 diabetes: results from a United Kingdom study

Published:2005-05 Issue:5 Volume:22 Page:554-562
ISSN:0742-3071
Container-title:Diabetic Medicine
language:en
Short-container-title:Diabet Med

Author:

Guzder R. N.,Gatling W.,Mullee M. A.,Mehta R. L.,Byrne C. D.

Publisher

Wiley

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1464-5491.2005.01494.x/fullpdf

Reference35 articles.

1. 1National Institute of Clinical Excellence (NICE). Management of Type 2 diabetes-management of blood pressure and blood lipids (Guideline H). London: NICE, 2002 .

2. MRC/BHF Heart Protection Study of cholesterol-lowering with simvastatin in 5963 people with diabetes: a randomised placebo-controlled trial

3. Prevention of coronary and stroke events with atorvastatin in hypertensive patients who have average or lower-than-average cholesterol concentrations, in the Anglo-Scandinavian Cardiac Outcomes Trial—Lipid Lowering Arm (ASCOT-LLA): a multicentre randomised controlled trial

4. Design of the Collaborative AtoRvastatin Diabetes Study (CARDS) in patients with Type 2 diabetes

Cited by 141 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis;Communications Medicine;2024-01-22

2. Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm;Endocrinology and Metabolism;2023-11-21

3. Precision Prognostics for Cardiovascular Disease in Type 2 Diabetes: A Systematic Review and Meta-analysis;2023-04-27

4. Data-driven approaches to generating knowledge: Machine learning, artificial intelligence, and predictive modeling;Clinical Decision Support and Beyond;2023

5. Prediction models of diabetes complications: a scoping review;Journal of Epidemiology and Community Health;2022-06-30