Predictive value for the Chinese population of the Framingham CHD risk assessment tool compared with the Chinese Multi-Provincial Cohort Study.
By Jing Liu, Yuling Hong, Ralph B. D’Agostino, Zhao-su Wu, Wei Wang, Jiayi Sun, Peter W. F. Wilson, W. Kannel, Dong Zhao. Journal of the American Medical Association (JAMA), 2004
705 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery
View Paper: https://www.semanticscholar.org/paper/327c9a5ee78afb3d3977bac7af09127fc4ca60c2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cardiology and Cardiovascular Medicine
- Ralph B. D’Agostino
- Michael J. Pencina
- John P. A. Ioannidis
- James B. Meigs
- Benjamin Alan Goldstein
- Ann Marie Navar
In Endocrinology, Diabetes and Metabolism
- Ralph B. D’Agostino
- Lisa Sullivan
- Michael J. Pencina
- John P. A. Ioannidis
- D. Nathan
- S. Grundy
- R. Eckel
- V. Basevi
In Surgery
Citations in the corpus
- Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. (2007, methodology): “The simple clinical model we developed should be tested in other population samples to validate our approach, as has been done for prediction of coronary heart disease events.(21,35,36)”
- Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review (2017, methodology): “Risk scores such as the Framingham Risk Score were designed to be general scores that could be used in any population and have been adopted even across different countries.(127) However, hospitals (and by extension EHRs) serve specific patient populations and a strong score should leverage the uniqu”
- International prevalence, recognition, and treatment of cardiovascular risk factors in outpatients with atherothrombosis. (2006, neutral): “of patients with established vascular disease.(10,11)”