Cited by 945Cardiovascular Health and Risk FactorsHealth Promotion and Cardiovascular PreventionLipoproteins and Cardiovascular Health

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Lifetime Risks of Cardiovascular Disease

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Berry, Jarett D., Dyer, Alan, Cai, Xuan, Garside, Daniel B., Ning, Hongyan, Thomas, Avis, Greenland, Philip, Van Horn, Linda, Tracy, Russell P., Lloyd-Jones, Donald M.·2012·New England Journal of Medicine

DOI 10.1056/nejmoa1012848PMC PMC3336876

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Abstract

BACKGROUND: The lifetime risks of cardiovascular disease have not been reported across the age spectrum in black adults and white adults. METHODS: We conducted a meta-analysis at the individual level using data from 18 cohort studies involving a total of 257,384 black men and women and white men and women whose risk factors for cardiovascular disease were measured at the ages of 45, 55, 65, and 75 years. Blood pressure, cholesterol level, smoking status, and diabetes status were used to stratify participants according to risk factors into five mutually exclusive categories. The remaining lifetime risks of cardiovascular events were estimated for participants in each category at each age, with death free of cardiovascular disease treated as a competing event. RESULTS: We observed marked differences in the lifetime risks of cardiovascular disease across risk-factor strata. Among participants who were 55 years of age, those with an optimal risk-factor profile (total cholesterol level, <180 mg per deciliter [4.7 mmol per liter]; blood pressure, <120 mm Hg systolic and 80 mm Hg diastolic; nonsmoking status; and nondiabetic status) had substantially lower risks of death from cardiovascular disease through the age of 80 years than participants with two or more major risk factors (4.7% vs. 29.6% among men, 6.4% vs. 20.5% among women). Those with an optimal risk-factor profile also had lower lifetime risks of fatal coronary heart disease or nonfatal myocardial infarction (3.6% vs. 37.5% among men, <1% vs. 18.3% among women) and fatal or nonfatal stroke (2.3% vs. 8.3% among men, 5.3% vs. 10.7% among women). Similar trends within risk-factor strata were observed among blacks and whites and across diverse birth cohorts. CONCLUSIONS: Differences in risk-factor burden translate into marked differences in the lifetime risk of cardiovascular disease, and these differences are consistent across race and birth cohorts. (Funded by the National Heart, Lung, and Blood Institute.).

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Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1992) · Springer series in statistics · doi:10.1007/978-1-4612-4380-9_25 · Cited by 45,239
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
Summary of the second report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel II)
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report.
(2002) · Circulation · doi:10.1161/circ.106.25.3143 · Cited by 14,092
Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)
Grundy, S. M., Becker, D. M., Clark, L. T., Cooper, R., Denke, M. A., Howard, J. L., Hunninghake, D. B., Illingworth, D. R., Luepker, R. V., McBride, P. E., et al. (2002) · Civil War Book Review · Cited by 12,198
The Cardiovascular Health Study: design and rationale.
Fried, L. P., Borhani, N. O., Enright, P., Furberg, C. D., Gardin, J. M., Kronmal, R. A., Kuller, L. H., Manolio, T. A., Mittelmark, M. B., Newman, A., et al. (1991) · Annals of Epidemiology · doi:10.1016/1047-2797(91)90005-w · Cited by 3,652
Self-citation
THE ATHEROSCLEROSIS RISK IN COMMUNIT (ARIC) STUDY: DESIGN AND OBJECTIVES
THE ARIC INVESTIGATORS (1989) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115184 · Cited by 3,510
Untitled work
(1989) · PubMed · Cited by 3,139
Explaining the decrease in U.S. deaths from coronary disease, 1980–2000
Ford, E. S., Ajani, U. A., Croft, J. B., Critchley, J. A., Labarthe, D. R., Kottke, T. E., Giles, W. H., & Capewell, S. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa053935 · Cited by 2,757
Design of the Women’s Health Initiative Clinical Trial and Observational Study
The Women’s Health Initiative Study Group (1998) · Controlled Clinical Trials · doi:10.1016/s0197-2456(97)00078-0 · Cited by 2,580

Show all 46 references

Research works printed but not linked: 3

Cohen BB, 1987, Vital Health Stat 1, 22, 1
Cornoni-Huntley J, 1993, Aging (Milano), 5, 27
10.2307/2281868 · DOI · Paper page

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Natale, F., Franzese, R., Marotta, L., Mollo, N., Solimene, A., Luisi, E., Gentile, C., Loffredo, F. S., Golino, P., & Cimmino, G. (2024) · Life · doi:10.3390/life14060679 · Cited by 2
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Gao, W., Hu, P., Wick, B. D., Qiu, Q., Zhang, H., Li, Y., Kang, X., Bedi, K. C., Haeussler, M., Sasaki, K., et al. (2026) · Genome biology · doi:10.1186/s13059-026-04061-7 · Cited by 4
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Badiel, M., Cepeda, M., Ochoa, J. A., Loaiza, J. H., & Velásquez, J. G. (2015) · Archivos de cardiología de México · doi:10.1016/j.acmx.2014.10.002 · Cited by 2
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Aksnes, T. A., Kjeldsen, S. E., Rostrup, M., Holzhauer, B., Hua, T. A., & Julius, S. (2016) · Blood Pressure · doi:10.3109/08037051.2015.1134071 · Cited by 2
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Wiklund, O., Pirazzi, C., & Romeo, S. (2013) · Clinical Practice · doi:10.2217/cpr.13.83 · Cited by 2
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Sergie, Z., Mehran, R., & Stone, G. W. (2012) · Current Opinion in Cardiology · doi:10.1097/hco.0b013e3283540828 · Cited by 2
Association of depression and psychotropic medication on cardiac-related outcomes in a nationwide community-dwelling elderly population in Taiwan
Hsu, W., Tsai, H., Yu, S., Hsu, C., Tsai, Y.-T., Tzeng, H.-Y., Lin, I., Liu, K., Lee, M. M., Chiu, N., et al. (2016) · Medicine · doi:10.1097/md.0000000000004419 · Cited by 2
Coronary flow response to remote ischemic preconditioning is preserved in old cardiac patients
Santillo, E., Migale, M., Balestrini, F., Postacchini, D., Bustacchini, S., Lattanzio, F., & Incalzi, R. A. (2017) · Aging Clinical and Experimental Research · doi:10.1007/s40520-017-0845-1 · Cited by 2
Atherothrombosis as a Leading Cause of Acute Coronary Syndromes and Stroke: The Main Killers in Developed Countries
Dziedzic, E. A., Machowski, M., Oleszczak-Kostyra, M., & Dąbrowski, M. (2018) · InTech eBooks · doi:10.5772/intechopen.71786 · Cited by 2
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Christmann, M., Rosada, A., Ferlinz, K., Bramlage, P., & Steinhagen‐Thiessen, E. (2018) · Herz · doi:10.1007/s00059-018-4746-7 · Cited by 2
A competing risk analysis of death patterns in male genitourinary cancer
Bhattacharjee, A., Roy, G., Budukh, A. M., Dikshit, R. P., Patil, V. M., Joshi, A., Noronha, V., Prabash, K., & Roy, P. (2019) · Cancer Reports · doi:10.1002/cnr2.1174 · Cited by 2
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Mauricio, R., & Khera, A. (2020) · Contemporary cardiology · doi:10.1007/978-3-030-56279-3_3 · Cited by 2
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Song, Y., Choi, B., Kim, K., Park, H. J., & Oh, J. M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111383 · Cited by 2
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Backer, G. D., Graham, I. D., Lira, M. T., Hayman, L. L., & Uchmanowicz, I. (2021) · Oxford University Press eBooks · doi:10.1093/med/9780198849315.003.0001 · Cited by 2
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Yang, Y., Chen, S., Wu, C., Huang, S., Chan, W., Lin, S., Chou, C., Chen, J., Pan, J., Charng, M., et al. (2023) · Journal of the Chinese Medical Association · doi:10.1097/jcma.0000000000001011 · Cited by 2
Mediating effect of cumulative lipid profile burden on the effect of diet and obesity on hypertension incidence: a cohort study of people aged 35-65 in rural China
Zhang, T., Wang, Q., Cui, X.-M., Zhang, Y., Guo, F.-X., Wu, Q., Dong, M., & Luo, X. (2023) · European Journal of Clinical Nutrition · doi:10.1038/s41430-023-01348-x · Cited by 2
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Age and Gender Dependency of Complexity Measures of Short-Term Heart Rate Time Series
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Brown, R. E., & Kuk, J. L. (2016) · Springer eBooks · doi:10.1007/978-3-319-24687-1_5 · Cited by 1
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Han, Y., Xie, T., Li, Z., Yao, M., Zhao, H., Wu, J., Zhang, Y., & Zeng, X. (2025) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2025.110083 · Cited by 1
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Jackisch, J., Noor, N., Raitakari, O. T., Lehtimäki, T. J., Kähönen, M., Cullati, S., Delpierre, C., Mika Kivimaki, B., & Carmeli, C. (2025) · European Journal of Public Health · doi:10.1093/eurpub/ckaf212 · Cited by 1
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Anderson, T. S., Wilson, L. M., & Sussman, J. B. (2026) · Circulation Population Health and Outcomes · doi:10.1161/circoutcomes.125.012348 · Cited by 1
Mapping and evaluation of global and country-specific cardiovascular disease risk prediction models
Akhtar, S., Samad, Z., Bloomfield, G. S., Virani, S. S., & Almas, A. (2026) · Future Cardiology · doi:10.1080/14796678.2026.2645012 · Cited by 1
Machine learning-based cardiovascular risk prediction in systemic lupus erythematosus: development and internal validation of a prognostic model
Benonnier, N., Robert, M., Alves, A. S., Catella, J., Gevaert, O., Jamilloux, Y., Sève, P., Reynaud, Q., Gonçalves, D., Hot, A., et al. (2026) · Journal of Autoimmunity · doi:10.1016/j.jaut.2026.103561 · Cited by 1
Comparison of different long-term cardiovascular disease risk prediction horizons to guide preventive drug treatment in apparently healthy individuals
Bijkerk, S., Kist, J. M., Pennells, L. A. M., van der Schouw, Y. T., Matsushita, K., Numans, M. E., Angelantonio, E. D., de Vries, T. I., Steyerberg, E. W., Dorresteijn, J. A. N., et al. (2026) · European Heart Journal - Quality of Care and Clinical Outcomes · doi:10.1093/ehjqcco/qcag092 · Cited by 1
The CARDIOLIPID Plan: A Cardiovascular Risk-centred Implementation Framework for the Diagnosis and Management of Dyslipidaemia: Experts’ Proposal
Surma, S., Barylski, M., Schmieder, R. E., Borghi, C., Mancia, G., Lip, G. Y. H., & Filipiak, K. J. (2026) · European Cardiology Review · doi:10.15420/ecr.2026.08 · Cited by 2
Gender-related risk of myocardial infarction and subclinical coronary atherosclerosis: a Danish population cohort study
Fuchs, A., Kühl, J. T., Sigvardsen, P. E., Afzal, S., Pham, M. H. C., Nordestgaard, B. G., Køber, L., & Kofoed, K. F. (2026) · European Heart Journal · doi:10.1093/eurheartj/ehag612 · Cited by 1
[Evidence-based cardiology: practical applications from epidemiology. IV Cardiovascular risk prediction].
Rodríguez-Escudero, J. P., López-Jiménez, F., & Trejo-Gutiérrez, J. F. (2012) · PubMed · Cited by 1
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Windler, E. E. T., & Zyriax, B. (2015) · Atherosclerosis Supplements · doi:10.1016/j.atherosclerosissup.2015.02.027 · Cited by 1
Trauma Induced Inflammation, Sepsis and Ageing
McDaniel, D. O., Rigney, D. A., Olivier, J., McDaniel, K., Brock, M., Redmond, P. H., & Porter, J. J. (2013) · Ageing International · doi:10.1007/s12126-013-9195-2 · Cited by 1
Los nuevos marcadores de riesgo cardiovascular: ¿de dónde venimos, dónde estamos, hacia donde vamos?
Cuixart, C. B. (2012) · Clínica e Investigación en Arteriosclerosis · doi:10.1016/j.arteri.2012.02.005 · Cited by 1
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Heterogeneity in Statin Indications Within the 2013 American College of Cardiology/American Heart Association Guidelines
Shah, R. V., Rubenfire, M., Brook, R. D., Lima, J. A. C., Nallamothu, B. K., & Murthy, V. L. (2014) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2014.09.045 · Cited by 1
Diagnostics: The new risk predictors
Gwynne, P. H. (2013) · Nature · doi:10.1038/493s7a · Cited by 1
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Arteriosclerosis. Factores de riesgo cardiovascular
Bayod, C., Villarroel, M. T., Lorenz, J. B. P., & Puzo, J. (2013) · Medicine - Programa de Formación Médica Continuada Acreditado · doi:10.1016/s0304-5412(13)70635-8 · Cited by 1
Factors Associated with High Cholesterol levels in Lusaka, Zambia: A Community-Based Study
Muula, A. S., Rudatsikira, E., Babaniyi, O. A., Songolo, P., Mulenga, D., & Siziya, S. (2012) · Medical Journal of Zambia · Cited by 1
In Which Treatment Have We Reached Glycemic Goals In Type-2 Diabetic Patients?
Ergin, E., Akın, S., Efetürk, E., Erdem, M. E., Tekçe, M., & Aliustaoğlu, M. (2014) · Southern Clinics of Istanbul Eurasia · doi:10.5505/jkartaltr.2014.27122 · Cited by 1
Neue AHA- und ACC-Leitlinie zur Risikoreduktion von Herz-Kreislauf-Erkrankungen durch Cholesterinsenkung Stellungnahme der DACH-Gesellschaft Prävention von Herz-Kreislauf-Erkrankungen e. V., der Österreichischen Atherosklerose Gesellschaft und der Arbeitsgruppe Lipide und Atherosklerose (AGLA) der Schweizer Gesellschaft für Kardiologie
Wehling, M. (2014) · Cited by 1
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Masiá, & Iribarren, J. A. (2012) · Cited by 1
Cardiovascular concerns from radiation therapy and other radiation exposure
Tariq, H. A., & Harrison, E. (2016) · Oncoreview · doi:10.5604/20828691.1198515 · Cited by 1
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Saka, M. H., & Barzani, M. (2015) · Zanco Journal of Medical Sciences · doi:10.15218/zjms.2015.0016 · Cited by 1
Cardiovascular disease: Sex and gender evidence in acute ischemic syndrome and heart failure
Safdar, B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-816569-0.00006-1 · Cited by 1
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Pires, M. I. G., Wrubleski, T. D. A., & Marques, G. L. (2021) · European Journal of Medical and Health Sciences · doi:10.24018/ejmed.2021.3.1.697 · Cited by 1
Chapter 3. Principles of treatment
(2014) · Hypertension Research · doi:10.1038/hr.2014.6 · Cited by 1
Epidemiology of Atherosclerotic Vascular Diseases
Andersson, C., & O’Donnell, C. J. (2015) · Springer eBooks · doi:10.1007/978-3-642-37078-6_46 · Cited by 1
ERUCA SATIVA MILL SEEDS OIL ALLEVIATES HYPERLIPIDEMIA AND NON-ALCOHOLIC FATTY LIVER DISEASE IN SYRIAN HAMSTER
Alhilal, M., Sulaiman, Y. A. M., Subuh, A. M. H., Habra, N., & Alhilal, S. (2022) · The Journal of Animal and Plant Sciences · doi:10.36899/japs.2022.6.0564 · Cited by 2
Mobi-Trans: A Hybrid Network with Attention Mechanism for Myocardial Infarction Localization
Shan, C., Zhao, J., Qiu, Z., Wei, F., & Yuan, Z. (2022) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn55064.2022.9892621 · Cited by 2
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Ahmed, A. H., Omar, A. S., Ghattas, M. H., Ghaly, M. S., & Al-Shatouri, M. A. (2023) · Cureus · doi:10.7759/cureus.34743 · Cited by 1
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Khera, R., Kondamudi, N., Liu, M., Ayers, C. R., Spatz, E. S., Rao, S. G., Essien, U. R., Powell‐Wiley, T. M., Nasir, K., Das, S. R., et al. (2023) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2023.100493 · Cited by 1
GENDER FEATURES OF EARLY STENOTIC LESIONS OF CORONARY ARTERIES IN HIGH-RISK PATIENTS WITH THE PRESENCE OF MULTIFOCAL ATHEROSCLEROSIS
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The interplay between sex, lifestyle factors and built environment on 20-year cardiovascular disease incidence; the ATTICA study (2002–2022)
Sigala, E. G., Chrysohoou, C. A., Barkas, F., Liberopoulos, E. N., Sfikakis, P. P., Faka, A., Tsioufis, C., Pitsavos, C., & Panagiotakos, D. B. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1467564 · Cited by 1
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Du, Z., Zhang, X., Bulloch, G., Zhang, F., Huang, Y., Wang, Y., Liang, Y., Wu, G., Zhu, Z., Shang, X., et al. (2025) · Global Heart · doi:10.5334/gh.1406 · Cited by 1
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Hamerman, D., & Fried, L. P. (2013) · Perspectives in biology and medicine · doi:10.1353/pbm.2013.0021 · Cited by 1
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Franklin, S. S., & Olsen, M. H. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801387-8.00007-7 · Cited by 1
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Koval, S. M. (2019) · HYPERTENSION · doi:10.22141/2224-1485.1.63.2019.162951 · Cited by 3
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Özdoğan, Ö. (2020) · Updates in Cardiology · doi:10.5543/ucard.2019.69188 · Cited by 1
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Das, S. R. (2020) · Diabetes Care · doi:10.2337/dci19-0051 · Cited by 1
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Louis, X. L., Krishnan, S. K., Wigle, J. T., & Netticadan, T. (2020) · Springer eBooks · doi:10.1007/978-3-030-47336-5_15 · Cited by 1
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Lee, H., Ahn, H., Park, H. E., Han, D., Chang, H., Chun, E. J., Han, H., Sung, J., Jung, H. O., & Choi, S. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1173289 · Cited by 2
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AbdElminaam, D. S., Madbouly, M. M., Zeid, M. A.-E., Gomaa, I. A. E., & Abualigah, L. (2023) · International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC) · doi:10.1109/miucc58832.2023.10278372 · Cited by 1
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Li, D. (2023) · Theoretical and Natural Science · doi:10.54254/2753-8818/24/20231135 · Cited by 1
Epidemiology of Blood Lipids and Lipoproteins
Wilson, P. W. F. (2015) · Contemporary Endocrinology · doi:10.1007/978-1-60761-424-1_2 · Cited by 1
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Smith, L. (2015) · ScholarWorks (Walden University) · Cited by 1
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Shaw, L. J. (2013) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2013.08.004 · Cited by 1
Predicting the future: a matter of time
Berry, J. D. (2015) · Heart · doi:10.1136/heartjnl-2015-308405 · Cited by 1
Self-citation
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Stone, N. J., & Blum, C. B. (2017) · JAMA · doi:10.1001/jama.2017.0382 · Cited by 1
Variáveis associadas a não adesão à terapia medicamentosa em idosos hipertensos e com comorbidades de uma unidade pública de saúde de Ribeirão Preto-SP
Lourenço, V. C. (2016) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.60.2016.tde-23052016-141324 · Cited by 1
Prediction of individualized lifetime benefit from cardiovascular risk-reducing interventions in apparently healthy people
Echouffo-Tcheugui, J. B., & Kengne, A. P. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz515 · Cited by 1

Authors: Berry, J. D., Dyer, A., Cai, X., Garside, D. B., Ning, H., Thomas, A., Greenland, P., Van Horn, L., Tracy, R. P., & Lloyd-Jones, D. M.
Affiliations: Northwestern University (US)
University of Minnesota (US)
University of Vermont (US)
ORCID: Berry, Jarett D.
Dyer, Alan
Cai, Xuan
Garside, Daniel B.
Ning, Hongyan
Greenland, Philip
Tracy, Russell P.
Venue: New England Journal of Medicine
Publisher: Massachusetts Medical Society
Published: 2012-01-26
Volume: 366
Issue: 4
Pages: 321-329
ISSN: 0028-4793 (ISSN-L)
1533-4406
DOI: 10.1056/nejmoa1012848
PMC: PMC3336876
OpenAlex: W2119984740
Cited by: 945
References: 46
Citations by year: 2026: 25 · 2025: 38 · 2024: 58 · 2023: 60 · 2022: 51 · 2021: 60 · 2020: 70 · 2019: 70 · 2018: 66 · 2017: 57 · 2016: 76 · 2015: 73 · 2014: 80 · 2013: 103 · 2012: 55
FWCI: 63.20
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: New England Journal of Medicine (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (n01wh42124-20-0-0, n01wh32105-27-0-1, n01wh42120-22-0-1, n01wh32106-28-0-1, n01hc085082-026, N01-WH-4-2107, n01hc085081-021, n01wh42125-19-0-1, n01wh32108-30-0-1, n01hc045133-001, n01wh042116-008, n01wh32112-26-0-1, N01-WH-4-2122, n01wh32100-28-0-1, n01hc085079-024, N01-WH-3-2109, n01hc015103-009, n01wh42130-23-0-1, n01wh42123-22-0-1, N01-WH-3-2106, n01wh42108-21-0-1, n01hc085084-005, N01-WH-3-2111, n01wh042114-008, n01wh32118-27-0-1, N01-WH-3-2119, n01hc085085-011, n01hc085083-027, n01wh42110-25-0-0, n01hc085080-026, n01wh42122-22-0-1, N01-WH-4-2126, N01-WH-4-2111, N01-WH-3-2105, N01-WH-3-2100, N01-WH-4-2129, n01wh42131-22-0-1, N01-WH-4-2130, n01wh44221-7-0-1, N01-WH-3-2118, n01wh42129-23-0-1, N01-WH-4-2116, N01-WH-3-2108, N01-WH-4-2110, n01wh42115-19-0-1, n01hc085086-022, N01-WH-3-2101, n01wh32111-28-0-1, n01wh32115-26-0-1, N01 WH 44221, n01wh22110-38-0-0, N01-WH-3-2115, N01-WH-4-2117, N01WH24152, n01wh42132-22-0-1, n01wh42121-21-0-1, n01wh32101-25-0-1, n01wh42111-19-0-1, N01-WH-4-2124, n01wh24152-12-0-0, n01wh42113-23-0-1, N01-WH-4-2131, n01wh32113-30-0-1, N01-WH-4-2113, n01wh42119-25-0-1, N01-WH-4-2109, N01-WH-4-2115, N01-WH-4-2132, N01-WH-3-2112, n01hc55222-0-0-0, N01-WH-4-2121, n01wh42126-26-0-1, n01wh32122-31-0-1, n01wh42118-20-0-1, N01-WH-4-2119, n01wh32119-24-0-1, N01-WH-3-2122, n01wh42107-22-0-1, N01-WH-4-2125, n01wh42109-28-0-1, n01wh042112-013, N01-WH-4-2120, N01-WH-2-2110, n01hc075150-004, n01hc035129-010, N01-WH-4-2114, n01wh42117-21-0-1, n01wh32102-33-0-0, N01-WH-4-2123, N01-WH-4-2118, N01-WH-3-2102, N01-WH-4-2112, N01-WH-4-2108, N01 WH022110, n01wh32109-27-0-1, N01-WH-3-2113)
National Heart, Lung, and Blood Institute (N01-HC-85081, N01HC85085, N01 HC085086, N01HC-85083, N01HC15103, N01 HC085079, N01HC85082, N01HC‐75150, N01 HC85086, R01HL068140, N01HC85080, N01 HC55222, K23HL092229, N01‐HC‐45133, U01HL080295, R01HL043232, R21HL085375, N01-HC85079, N01-HC85084, N01HC35129)
National Center for Research Resources (UL1RR025741)
Topics: Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
Keywords: lifetime risk, cardiovascular disease, cardiovascular risk factors, racial differences, Black people, White adults, coronary artery disease, myocardial infarction, stroke, blood pressure, cholesterol, smoking, diabetes mellitus, birth cohort, competing risk of death
MeSH terms: Adult, Aged, Black or African American, Cardiovascular Diseases, Female, Humans, Male, Middle Aged, Risk, Risk Factors, United States, Cohort Effect, Risk Assessment, White People

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