Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score.
By P. Ridker, J. Buring, N. Rifai, Nancy R. Cook. Journal of the American Medical Association (JAMA), 2007
1,874 citations recorded by the source corpus.
Subfields: Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Immunology
View Paper: https://www.semanticscholar.org/paper/6f4097a0c762c057a29b37977f5eeacb24d47fe9
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In Cardiology and Cardiovascular Medicine
In Endocrinology, Diabetes and Metabolism
In Immunology
Citations in the corpus
- Obesity, inflammation, and atherosclerosis (2009, background): “Indeed, incorporating hsCRP, together with family history, into traditional risk prediction models has been shown to substantially improve global cardiovascular risk prediction in men and women”
- Inflammation in Atherosclerosis: From Pathophysiology to Practice (2009, methodology): “(46,47) This observation suggests the importance of genetic factors as contributors to cardiovascular risk prediction not completely captured by the Framingham algorithm.”
- History of Discovery: Inflammation in Atherosclerosis (2012, background): “The Reynolds risk score, in particular, adds hsCRP and family history of premature coronary artery disease to traditional risk factors in a clinically useful manner.(54) The successful application of biomarkers of inflammation to sharpen cardiovascular risk assessment, and its independence from trad”
- The 2015 Canadian Hypertension Education Program recommendations for blood pressure measurement, diagnosis, assessment of risk, prevention, and treatment of hypertension. (2013, methodology): “Several computerized methods have been developed for estimating total CV risk [41–48].”