The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
Cardiovascular Disease Risk Assessment: Insights from Framingham
Open accessAbstract
Cardiovascular disease (CVD) is among the leading causes of death and disability worldwide. Since its beginning, the Framingham study has been a leader in identifying CVD risk factors. Clinical trials have demonstrated that when the modifiable risk factors are treated and corrected, the chances of CVD occurring can be reduced. The Framingham study also recognized that CVD risk factors are multifactorial and interact over time to produce CVD. In response, Framingham investigators developed the Framingham Risk Functions (also called Framingham Risk Scores) to evaluate the chance or likelihood of developing CVD in individuals. These functions are multivariate functions (algorithms) that combine the information in CVD risk factors such as sex, age, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, smoking behavior, and diabetes status to produce an estimate (or risk) of developing CVD or a component of CVD (such as coronary heart disease, stroke, peripheral vascular disease, or heart failure) over a fixed time, for example, the next 10 years. These estimates of CVD risk are often major inputs in recommending drug treatments such as cholesterol-lowering drugs.
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Cites
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Goldstein, B. A., Navar, A. M., Pencina, M. J., & Ioannidis, J. P. A. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw042 · Cited by 936
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“Genetic Risk and Deterioration Syndrome (GRD), genetic risk for psychosis coupled with deterioration in functioning, and (3) Brief Intermittent Psychotic Syndrome (BIPS), intermittent psychotic symptoms that are recent, brief in duration, and not seriously disorganizing or dangerous.”
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Metadata
- Authors
- D’Agostino Sr., R. B., Pencina, M. J., Massaro, J. M., & Coady, S.
- Venue
- Global Heart
- Publisher
- Ubiquity Press, Ltd.
- Published
- 2013-03-01
- Volume
- 8
- Issue
- 1
- Pages
- 11
- ISSN
- 2211-8160 (ISSN-L)
- 2211-8179
- OpenAlex
- W1998158176
- Cited by
- 329
- References
- 103
- FWCI
- 12.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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