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2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
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Harmon S. Jordan, ScD, Lev Nevo, MD, Janusz Wnek, PhD Jeffrey L. Anderson, MD, FACC, FAHA, Chair , Jonathan L. Halperin, MD, FACC, FAHA, Chair-Elect , Nancy M. Albert, PhD, CCNS, CCRN, FAHA, Biykem Bozkurt, MD, PhD, FACC, FAHA, Ralph G. Brindis, MD, MPH, MACC, Lesley H. Curtis, PhD, FAHA, David
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“These four traditional CVD risk factors are often included in routine composite CVD risk algorithms to predict future CVD in clinical practice.10,11,14,22”
From Aerobic, resistance, or combined exercise training and cardiovascular risk profile in overweight or obese adults: the CardioRACE trial (2024) · cites this paper as [10]
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“This concept is further supported by human genetic analyses of variants that have been associated with low LDL-C, increased LDL receptors, and decreased coronary heart disease.58,62,63,65”
From Association Between Lowering LDL-C and Cardiovascular Risk Reduction Among Different Therapeutic Interventions: A Systematic Review and Meta-analysis (2016) · cites this paper as [65]
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“Given that enjoyment and satisfaction are central determinants of exercise adherence 291 , providing a range of exercise options, which can accommodate patient preference and goals, is the key to building sustainable and engaging exercise routines.”
From The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness (2019) · cites this paper as [291]
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“but tends to be clinically under-recognized”
From The CardioMetabolic Health Alliance (2015) · cites this paper as [29]
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Metadata
- Authors
- Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., Robinson, J. G., Schwartz, J. S., Shero, S. T., Smith, S. C., Sorlie, P., Stone, N. J., & Wilson, P. W. F.
- Affiliations
- General Department of Preventive Medicine (VN)
- ORCID
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 63
- Issue
- 25
- Pages
- 2935-2959
- ISSN
- 0735-1097 (ISSN-L)
- PMC
- PMC4700825
- OpenAlex
- W2168536722
- Cited by
- 4,945
- References
- 87
- Citations by year
- 2026: 122 · 2025: 207 · 2024: 294 · 2023: 375 · 2022: 443 · 2021: 504 · 2020: 440 · 2019: 469 · 2018: 474 · 2017: 484 · 2016: 439 · 2015: 391 · 2014: 285
- FWCI
- 383.50
- Type
- journal article
- Language
- en
- Update notices
- erratum (2014-07-01)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 HL999999)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Coronary Interventions and Diagnostics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Clinical practice guidelines implementation
- Keywords
- cardiovascular risk assessment, cardiovascular risk, risk stratification, risk prediction
- MeSH terms
- American Heart Association, Blood Pressure, Cardiology, Cardiovascular Diseases, Diet, Humans, Morbidity, Risk Factors, Societies, Medical, Sodium, Dietary, United States, Risk Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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