The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Age As a Risk Factor
Open accessAbstract
The risk of developing cardiovascular disease (CVD) is generally dependent on the presence or absence of traditional risk factors. Age is a well-known traditional risk factor, generally considered nonmodifiable. This review discusses the common use of individual age in prediction of CVD incidence using different risk scores, whether or not age as a risk factor can be modified, the methods used to evaluate long-term and short-term CVD risk, appropriate communication of individual risk based on age group and CVD risk, and the influence of age on cardiac and vascular risk factors.
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Cites
Yusuf, S., Hawken, S., Ôunpuu, S., Dans, T., Avezum, A., Lanas, F., McQueen, M., Budaj, A., Pais, P., Varigos, J., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17018-9 · Cited by 12,026
General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study
D’Agostino, R. B., Vasan, R. S., Pencina, M. J., Wolf, P. A., Cobain, M., Massaro, J. M., & Kannel, W. B. (2008) · Circulation · doi:10.1161/circulationaha.107.699579 · Cited by 7,491
Self-citationGrundy, S. M., Cleeman, J. I., Merz, C. N. B., Brewer, H. B., Clark, L. T., Hunninghake, D. B., Pasternak, R. C., Smith, S. C., & Stone, N. J. (2004) · Circulation · doi:10.1161/01.cir.0000133317.49796.0e · Cited by 6,902
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project
Conroy, R. (2003) · European Heart Journal · doi:10.1016/s0195-668x(03)00114-3 · Cited by 5,290
Prediction of lifetime risk for cardiovascular disease by risk factor burden at 50 years of age
Lloyd-Jones, D. M., Leip, E. P., Larson, M. G., D’Agostino, R. B., Beiser, A., Wilson, P. W. F., Wolf, P. A., & Levy, D. (2006) · Circulation · doi:10.1161/circulationaha.105.548206 · Cited by 1,298
Is age really a non-modifiable cardiovascular risk factor?
Kannel, W. B., & Vasan, R. S. (2009) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2009.06.051 · Cited by 51
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Cited by
The impact of aging on adipose function and adipokine synthesis
Mancuso, P., & Bouchard, B. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00137 · Cited by 314
Albus, C., Waller, C., Fritzsche, K., Gunold, H., Haass, M., Hamann, B., Kindermann, I., Köllner, V., Leithäuser, B., Marx, N., et al. (2019) · Clinical Research in Cardiology · doi:10.1007/s00392-019-01488-w · Cited by 178
NLRP3 inflammasome activation in inflammaging
Latz, E., & Duewell, P. (2018) · Seminars in Immunology · doi:10.1016/j.smim.2018.09.001 · Cited by 174
Obas, V., & Vasan, R. S. (2018) · Clinical Science · doi:10.1042/cs20171156 · Cited by 148
Self-citationYebyo, H. G., Aschmann, H. E., & Puhan, M. A. (2019) · Annals of Internal Medicine · doi:10.7326/m18-1279 · Cited by 73
Metadata
- Authors
- Dhingra, R., & Vasan, R. S.
- Venue
- Medical Clinics of North America
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 96
- Issue
- 1
- Pages
- 87-91
- ISSN
- 0025-7125 (ISSN-L)
- OpenAlex
- W2126285462
- Cited by
- 315
- References
- 6
- FWCI
- 0.88
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
