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A general cardiovascular risk profile: The Framingham study
Abstract
Persons at high risk of cardiovascular disease can be effectively identified from a measurement of their serum cholesterol and blood pressure, a smoking history, an electrocardiogram and a determination of glucose intolerance. One general function for identifying persons at high risk of cardiovascular disease is also effective in identifying persons at risk for each of the specific diseases, coronary heart disease, atherothrombotic brain infarction, hypertensive heart disease and intermittent claudication, even though the variables used have a different impact on each particular disease. The 10 percent of persons identified with use of this function as at highest risk accounted for about one fifth of the 8 year incidence of coronary heart disease and about one third of the 8 year incidence of atherothrombotic brain infarction, hypertensive heart disease and intermittent claudication. Hence the function provides an economic and efficient method of identifying persons at high cardiovascular risk who need preventive treatment and persons at low risk who need not be alarmed about one moderately elevated risk characteristic.
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“The 10-year risk estimates used in the 1998 score provided a convenient way to classify individuals as low, intermediate, or high risk for future coronary heart disease.”
From The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective (2014) · cites this paper as [50]
In the citing paper
“The best known risk profile is the Framingham Risk Score for coronary heart disease, published in 1998 by Wilson and colleagues.50 This function became the basis of the risk calculator adopted by the Adult Treatment Panel of the National Cholesterol Education Program in the United States.51”
From The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective (2014) · cites this paper as [50]
In the citing paper
“Compared with previously published functions, the 1998 model substituted risk factor categories in the place of continuous values, which enabled clinicians to use lookup tables to obtain risk estimates.”
From The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective (2014) · cites this paper as [50]
In the citing paper
“Notably, the 1998 version of the Framingham Risk Score, adopted by the National Cholesterol Education Program, contained both total and HDL cholesterol.50”
From The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective (2014) · cites this paper as [50]
Citations
Cites
Estimation of the Probability of an Event as a Function of Several Independent Variables
Walker, S. H., & Duncan, D. B. (1967) · Biometrika · doi:10.1093/biomet/54.1-2.167 · Cited by 1,683
Predisposition to Atherosclerosis in the Head, Heart, and Legs
Gordon, T. (1972) · JAMA · doi:10.1001/jama.1972.03200200011003 · Cited by 341
Self-citationThe role of impaired cardiac function in atherothrombotic brain infarction: the Framingham study.
Wolf, P. A., Kannel, W. B., Pm, M., & Gordon, T. (1973) · American Journal of Public Health · doi:10.2105/ajph.63.1.52 · Cited by 25
Self-citation
Research works printed but not linked: 1
- 1970, Circulation, 42, A-55
Cited by
Sorted by citations
Items 501–600 of 1,000
Dartois, L., Gauthier, É., Heitzmann, J., Baglietto, L., Michiels, S., Mesrine, S., Boutron‐Ruault, M., Delaloge, S., Ragusa, S., Clavel‐Chapelon, F., et al. (2015) · Breast Cancer Research and Treatment · doi:10.1007/s10549-015-3321-7 · Cited by 16
Georgousopoulou, E. N., Pitsavos, C. S., Yannakoulia, M., & Panagiotakos, D. B. (2013) · International Journal of Food Sciences and Nutrition · doi:10.3109/09637486.2013.827634 · Cited by 16
The role of glucose as an independent cardiovascular risk factor
Middelbeek, R. J. W., & Horton, E. S. (2007) · Current Diabetes Reports · doi:10.1007/s11892-007-0008-4 · Cited by 16
Mentias, A. G., Hill, E., Barakat, A. F., Raza, M. Q., Youssef, D., Banerjee, K., Sawant, A. C., Ellis, S. G., Tuzcu, E. M., & Kapadia, S. R. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2017.05.011 · Cited by 18
Chung, G. E., Park, H. E., Lee, H., & Choi, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-84311-9 · Cited by 17
Pulse pressure and stroke risk: development and validation of a new stroke risk model
Ayyagari, R., Vekeman, F., Lefèbvre, P., Ong, S. H., Faust, E., Trahey, A., Machnicki, G., & Duh, M. S. (2014) · Current Medical Research and Opinion · doi:10.1185/03007995.2014.971357 · Cited by 16
Persson, M., Carlberg, B., Weinehall, L., Nilsson, L., Stegmayr, B., & Lindholm, L. H. (2003) · Journal of Hypertension · doi:10.1097/00004872-200306000-00008 · Cited by 16
Factors affecting wound healing after major amputation for vascular disease
Eneroth, M. (1999) · Prosthetics and Orthotics International · doi:10.3109/03093649909071635 · Cited by 16
Coronary Heart Disease Risk Assessment
Moran, M. T., Mazzocco, V., Fiscus, W. G., & Koza, E. P. (1989) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(18)31053-5 · Cited by 16
A longitudinal evaluation of blood pressure in children.
Levine, R., Hennekens, C. H., Klein, B., Ferrer, P. L., Gourley, J., Cassady, J., Gelband, H., & Jesse, M. J. (1979) · American Journal of Public Health · doi:10.2105/ajph.69.11.1175 · Cited by 16
Preventive Health Strategies and the Policy Makers' Paradox
Brown, E., Viscoli, C. M., & Horwitz, R. I. (1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-116-7-593 · Cited by 16
Baksaas, I., & Helgeland, A. (1980) · Acta Medica Scandinavica · doi:10.1111/j.0954-6820.1980.tb09747.x · Cited by 16
Coronary heart disease and risk factor modification. Is there a threshold?
Superko, H. R., Wood, P. D., & Haskell, W. L. (1985) · The American Journal of Medicine · doi:10.1016/0002-9343(85)90290-6 · Cited by 16
RENIN AS A PREDICTOR OF HYPERTENSIVE COMPLICATIONS*
Kirkendall, W. M., HAMMOND, J., & Overturf, M. L. (1978) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1978.tb25588.x · Cited by 16
McMahon, M. A., & Palmer, R. M. (1985) · Medical Clinics of North America · doi:10.1016/s0025-7125(16)31056-2 · Cited by 16
Pediatric Aspects of Atherosclerosis and Hypertension
Lee, J., & Lauer, R. M. (1978) · Pediatric Clinics of North America · doi:10.1016/s0031-3955(16)33649-5 · Cited by 16
Modeling the epidemiologic individual
Phillips, C. J. (2025) · History of the Human Sciences · doi:10.1177/09526951251337680 · Cited by 15
Tao, S., Yu, L., Yang, D., Yao, R., Zhang, L., Huang, L., & Shao, M. (2023) · European journal of medical research · doi:10.1186/s40001-023-01233-0 · Cited by 18
Badheka, A. O., Patel, N., Tuliani, T. A., Rathod, A. D., Marzouka, G. R., ZALAWADIYA, S. K., Deshmukh, A. J., Moscucci, M. M., & Cohen, M. G. (2013) · The American Journal of Medicine · doi:10.1016/j.amjmed.2012.10.020 · Cited by 16
Panagiotakos, D. B., Georgousopoulou, E. N., Bougatsas, D., Chatzigeorgiou, M., Kavouras, S. A., Chrysohoou, C. A., Skoumas, I., Tousoulis, D. M., Stefanadis, C., & Pitsavos, C. S. (2016) · International Journal of Preventive Medicine · doi:10.4103/2008-7802.178346 · Cited by 15
Novo, J., Rouco, J., Barreira, N., Ortega, M., Penedo, M. G., & Campilho, A. (2017) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-017-0256-y · Cited by 15
França, R. D. A., Esteves, A. D. B. A., Borges, C. D. M., Quadros, K. R. D. S., Falcão, L. C. N., Caramori, J. C. T., & de Oliveira, R. B. (2017) · Brazilian Journal of Nephrology · doi:10.5935/0101-2800.20170042 · Cited by 15
Hosein, A., Stoute, V., Chadee, S., & Singh, N. R. (2020) · PeerJ · doi:10.7717/peerj.8232 · Cited by 15
Devani, R., Kirubakaran, A., & Molokhia, M. (2022) · Health and Technology · doi:10.1007/s12553-022-00651-0 · Cited by 15
Lappé, J. M., Grodin, J. L., Wu, Y., Bott‐Silverman, C., & Cho, L. (2015) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2015.03.063 · Cited by 15
Yuk, H. B., Park, H. W., Jung, I. J., Kim, W. H., Kim, K., Yang, D., Park, Y., Kim, Y. K., Song, I. G., & Bae, J. (2015) · Korean Circulation Journal · doi:10.4070/kcj.2015.45.1.28 · Cited by 15
Budczies, J., von Winterfeld, M., Klauschen, F., Kimmritz, A.-C., Daniel, J., Warth, A., Endris, V., Denkert, C., Pfeiffer, H., Weichert, W., et al. (2014) · Journal of Clinical Pathology · doi:10.1136/jclinpath-2013-202148 · Cited by 15
van Poppel, P. C. M., Breedveld, P., Abbink, E. J., Roelofs, H. M. J., van Heerde, W. L., Smits, P., Lin, W., Tan, A. H., Rüssel, F. G. M., Donders, R., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0128695 · Cited by 15
A suggested framework for conducting esophageal cancer screening in China
Li, Y. Y., Du, L. B., Hu, X. Q., Jaiswal, S., Gu, S. Y., Gu, Y. X., & Dong, H. J. (2018) · Journal of Digestive Diseases · doi:10.1111/1751-2980.12675 · Cited by 15
The features of causes of death in Japanese diabetics during the period 1971-1980.
Sakamoto, N., Hotta, N., KAKUTA, H., Kamei, I., KIMURA, M., FUKAZAWA, H., Koh, N., & Kosáka, K. (1983) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.141.suppl_631 · Cited by 15
Heidenberger, K. (1996) · OR Spectrum · doi:10.1007/bf01539875 · Cited by 15
The distribution and associations of blood pressure in an adolescent population.
Orchard, T. J., Hedley, A. J., & Mitchell, J. R. A. (1982) · Journal of Epidemiology & Community Health · doi:10.1136/jech.36.1.35 · Cited by 15
Cooper, C. L., Faragher, E. B., Bray, C. L., & Ramsdale, D. R. (1985) · Social Science & Medicine · doi:10.1016/0277-9536(85)90003-6 · Cited by 15
Cigarette Smoking as a Risk Factor for Coronary Artery Disease
Weintraub, W. (1990) · Advances in experimental medicine and biology · doi:10.1007/978-1-4684-5829-9_4 · Cited by 15
Grützmacher, P., Scheuermann, E.-H., Siede, W. H., Lang, P. D., Abshagen, U., Radtke, H. W., Baldamus, C. A., & Schoeppe, W. (1986) · Journal of Molecular Medicine · doi:10.1007/bf01728614 · Cited by 15
Suo, X., Huang, X., Zhong, L., Luo, Q., Ding, L., & Xue, F. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.123.029400 · Cited by 16
Exploratory Data Analysis of Heart Disease Prediction using Machine Learning Techniques-RS Algorithm
Vibha, M. B., Sneha, S. R., Kiran, U., & Kirana, Y. D. (2024) · International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) · doi:10.1109/icoici62503.2024.10696414 · Cited by 16
Debar, S., Kumarapeli, P., Kaski, J. C., & de Lusignan, S. (2010) · Family Practice · doi:10.1093/fampra/cmq025 · Cited by 14
Is adult education associated with reduced coronary heart disease risk?
Chandola, T., Plewis, I., Morris, J. M., Mishra, G. D., & Blane, D. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr087 · Cited by 14
Shah, P. M., Shanewise, J. S., Lytle, B. W., Nishimura, R. A., O’Gara, P. T., O’Rourke, R. A., Otto, C. M., Faxon, D. P., Freed, M. D., Gaasch, W. H., et al. (2013) · Cited by 14
Masoudkabir, F., Poorhosseini, H., Vasheghani‐Farahani, A., Hakki, E., Roayaei, P., & Kassaian, S. E. (2015) · PubMed Central · Cited by 14
Statin adherence and persistence on secondary prevention of cardiovascular disease in Taiwan
Shau, W., Lai, C., Huang, S., Chen, S., Li, J. Z., Fung, S., Tse, V. C., & Lai, M. (2019) · Heart Asia · doi:10.1136/heartasia-2018-011176 · Cited by 14
Zhao, E., Xie, H., & Zhang, Y. (2020) · Cardiovascular Therapeutics · doi:10.1155/2020/9416803 · Cited by 14
Evaluating national guidelines for prevention of cardiovascular disease in primary care
Marshall, T. P. (2005) · Journal of Evaluation in Clinical Practice · doi:10.1111/j.1365-2753.2005.00557.x · Cited by 14
Swan, H. J. C. (1999) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(99)00089-3 · Cited by 14
Kannel, W. B. (2004) · Medical Clinics of North America · doi:10.1016/j.mcna.2004.02.002 · Cited by 14
Self-citationda Luz, P. L., Bertini, P. J., & Favarato, D. (2005) · Clinics · doi:10.1590/s1807-59322005000500011 · Cited by 13
Rohani, C., Jafarpoor, H., Mortazavi, Y., Esbakian, B., & Gholinia, H. (2022) · PubMed Central · doi:10.48305/arya.v18i0.2427 · Cited by 13
Wassertheil-Smoller, S. W., McGinn, A., Allison, M., Ca, T., Curb, D. J., Eaton, C. B., Hendrix, S. L., Kaplan, R. C., Ko, M., Martin, L. W., et al. (2012) · International Journal of Stroke · doi:10.1111/j.1747-4949.2012.00860.x · Cited by 13
Widhalm, K., & Zwiauer, K. (1987) · Journal of the American College of Nutrition · doi:10.1080/07315724.1987.10720205 · Cited by 13
The Evolving Definition of Systemic Arterial Hypertension
Ram, C. V. S., & Giles, T. D. (2010) · Current Atherosclerosis Reports · doi:10.1007/s11883-010-0107-6 · Cited by 13
Implementing an innovative consent form: the PREDICT experience
Decker, C., Arnold, S. V., Olabiyi, O., Ahmad, H., Gialde, E., Luark, J., Riggs, L. A., DeJaynes, T., Soto, G. E., & Spertus, J. A. (2008) · Implementation Science · doi:10.1186/1748-5908-3-58 · Cited by 13
Plat, A. W., Wierik, M. J. M. T., Kroon, A. A., Schouten, H. J. A., van den Akker, M., van Schayck, O. C. P., de Leeuw, P. W., Hajema, K.-J., & Stoffers, J. (2005) · PubMed · Cited by 13
Revuelta, K. L. (2007) · Nefrología · Cited by 13
Han, T. S., & Lean, M. E. J. (2010) · Medicine · doi:10.1016/j.mpmed.2010.10.010 · Cited by 13
THE IMPORTANT ROLE OF FITNESS DETERMINATION AND STRESS TESTING IN PREDICTING CORONARY INCIDENCE
Cooper, K. H., Meyer, B. U., Blide, R. W., Gibbons, L., & Pollock, M. L. (1977) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1977.tb38235.x · Cited by 13
The prevalence distribution of hypertension: Connecticut adults 1978–1979
Freeman, D. H., DʼAtri, D. A., HELLENBRAND, K. G., Ostfeld, A. M., Papke, E., Piorun, K., Richards, V. A., & Sardinas, A. (1983) · Journal of Chronic Diseases · doi:10.1016/0021-9681(83)90091-7 · Cited by 13
Galvin, K., Webb, C., & Hillier, V. F. (2000) · Clinical Effectiveness in Nursing · doi:10.1054/cein.2000.0122 · Cited by 13
Panagiotakos, D. B., Pitsavos, C. E., Stefanadis, C., & for the GREECS Study Investigators (2006) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/01.hjr.0000221863.42286.1e · Cited by 13
A Conceptual and Historical Framework for Molecular Epidemiology
Schulte, P. A. (1993) · Elsevier eBooks · doi:10.1016/b978-0-12-632345-0.50005-5 · Cited by 12
Atherosclerosis: Biological and Surgical Considerations
Sumpio, B. E. (2012) · Wiley eBooks · doi:10.1002/9781118481370.ch9 · Cited by 12
Framework for Evaluating Novel Risk Markers
Hlatky, M. A. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-156-6-201203200-00013 · Cited by 13
Wall, R. T., Harlan, J. M., Harker, L. A., & Striker, G. E. (1980) · Thrombosis Research · doi:10.1016/0049-3848(80)90241-8 · Cited by 13
de Oliveira, A. C. M., Ferreira, R. C., & Santos, A. A. (2016) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.62.02.138 · Cited by 12
Generation of Knowledge for Clinical Decision Support
Matheny, M. E., & Lucila Ohno-machado, A. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-398476-0.00011-7 · Cited by 12
CHD Risk Minimization through Lifestyle Control: Machine Learning Gateway
He, X., Matam, B. R., Bellary, S., Ghosh, G., & Chattopadhyay, A. K. (2020) · Scientific Reports · doi:10.1038/s41598-020-60786-w · Cited by 11
Wang, X., Chen, H., Essien, E. J., Wu, J., Serna, O., Paranjpe, R., & Abughosh, S. (2020) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2020.1800457 · Cited by 14
Prevalence of Coronary Artery Disease in Rural Areas of Peshawar
Hassan, M. U., Awan, Z. A., Gul, A. M., Sahibzada, W. A., & Hafizullah, M. (2005) · Journal of Postgraduate Medical Institute · Cited by 12
Survival Rate and its Related Factors in Patients with Acute Myocardial Infarction
Ehsan, M. F., Baneshi, M. R., & Zolala, F. (2014) · مجله دانشکده پزشکی دانشگاه علوم پزشکی مشهد · Cited by 12
Risk Factors of Atherosclerosis
Tsioufis, C. P., Mantzouranis, E., Kalos, T., Konstantinidis, D., & Tousoulis, D. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-811908-2.00004-0 · Cited by 13
Present and Future Role of Combination Treatment in Hypertension
Mancia, G., Failla, M., Grappiolo, A., & Giannattasio, C. (1998) · Journal of Cardiovascular Pharmacology · doi:10.1097/00005344-199800002-00007 · Cited by 12
Nafziger, A. N., Weinehall, L., Lewis, C. B., Jenkins, P., Erb, T. A., Pearson, T. A., & Wall, S. (2001) · Scandinavian Journal of Public Health · doi:10.1080/140349401316898117 · Cited by 12
Terry, M. L., Berkowitz, H. D., Kerstein, M. D., & FACS (1998) · Surgical Clinics of North America · doi:10.1016/s0039-6109(05)70323-6 · Cited by 11
The aging of the cardiovascular system: When should children be treated like adults?
Gidding, S. S. (2002) · The Journal of Pediatrics · doi:10.1067/mpd.2002.126922 · Cited by 12
White-Coat Hypertension—To Treat or Not to Treat
Moser, M. (2001) · Archives of Internal Medicine · doi:10.1001/archinte.161.22.2655 · Cited by 12
Rhee, S. Y., Park, S. Y., Hwang, J. K., Son, J. I., Chin, S. O., Kim, Y. S., & Woo, J. (2014) · Diabetology & Metabolic Syndrome · doi:10.1186/1758-5996-6-98 · Cited by 11
Dearborn, J. L., Hu, X. Y., Bravata, D. M., Phadke, M. A., Baye, F. M., Myers, L. J., Concato, J., Zillich, A. J., Reeves, M. J., & Sico, J. J. (2021) · Stroke · doi:10.1161/strokeaha.120.030089 · Cited by 11
Levene, J., Cambron, C., McGrath, L. B., Colina, I., Broberg, C. S., Ramsey, K., & Khan, A. M. (2022) · International Journal of Cardiology Congenital Heart Disease · doi:10.1016/j.ijcchd.2022.100424 · Cited by 11
Increased arterial pressure volume index and cardiovascular risk score in China
Jin, L., Zhang, M., Sha, L., Cao, M., Tong, L., Chen, Q., Shen, C., Du, L., Liu, L., & Li, Z. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-022-03035-4 · Cited by 11
Absolute cardiovascular risk and GP decision making in TIA and minor stroke
Clarey, J., Lasserson, D. S., Levi, C. R., Parsons, M. W., Dewey, H. M., Barber, P. A., Quain, D. A., McElduff, P., Sales, M., & Magin, P. J. (2014) · Family Practice · doi:10.1093/fampra/cmu054 · Cited by 11
Renuka, M., Savitharani, B., S., M. B., Sridevi, & Ashok, N. (2016) · Heart India · doi:10.4103/2321-449x.178119 · Cited by 11
Rinehart, S. J., Qian, Z., Vazquez, G., Joshi, P. H., Kirkland, B. L., Bhatt, K., Marvasty, I. B., Christian, K., & Vörös, S. (2011) · International journal of cardiac imaging · doi:10.1007/s10554-011-9979-y · Cited by 11
Glucose interaction magnifies atherosclerotic risk from cholesterol
Cohen, H. W., & Sloop, G. D. (2003) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2003.09.010 · Cited by 11
Sveger, T., & Fex, G. A. (1983) · Acta Paediatrica · doi:10.1111/j.1651-2227.1983.tb09760.x · Cited by 11
Lipid risk factors in patients requiring arterial reconstruction
Seeger, J. M., Silverman, S. H., Flynn, T. C., Bailey, J. C., Klingman, N. V., Lawson, G. A., Borgeson, M. D., & Barratt, E. (1989) · Journal of Vascular Surgery · doi:10.1016/0741-5214(89)90416-3 · Cited by 11
Gomo, Z. A. R. (1986) · Atherosclerosis · doi:10.1016/0021-9150(86)90075-4 · Cited by 11
Changes in cardiovascular epidemiology since 1950.
Feinleib, M. (1984) · PubMed Central · Cited by 11
Schievelbein, H. (1979) · Preventive Medicine · doi:10.1016/0091-7435(79)90015-x · Cited by 11
Polygenic Risk Score Assessment for Coronary Artery Disease in Asian Indians
Rout, M., Tung, G. K., Singh, J. R., Mehra, N. K., Wander, G. S., Ralhan, S. K., & Sanghera, D. K. (2024) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-024-10511-z · Cited by 10
Kawashiri, M., Sakata, K., Gamou, T., Kanaya, H., Miwa, K., Ueda, K., Higashikata, T., Mizuno, S., Michishita, I., Namura, M., et al. (2014) · Heart and Vessels · doi:10.1007/s00380-014-0522-7 · Cited by 10
Azuma, N., Saito, Y., Nishijima, T., Aoki, R., & Nishihira, J. (2023) · Bioscience Biotechnology and Biochemistry · doi:10.1093/bbb/zbad148 · Cited by 10
Arterial Stiffness and Cardiovascular Risk: The Role of Brachial Cuff-measured Index
Jin, M. L., Li, B. X., Zhang, M. M., Zhang, B. X., Xian, B. C., Liang, P. F., & Li, Z. (2023) · Advanced ultrasound in diagnosis and therapy · doi:10.37015/audt.2023.230045 · Cited by 10
Prevention of coronary heart disease
Liebson, P. R., & Amsterdam, E. A. (2000) · Disease-a-Month · doi:10.1016/s0011-5029(00)90016-6 · Cited by 10
Ingle, L., Carroll, S., Stamatakis, E. A., & Hamer, M. (2011) · International Journal of Cardiology · doi:10.1016/j.ijcard.2011.06.001 · Cited by 10
Solera-Martínez, M., López-Martínez, S., Sánchez‐López, M., Martínez, P. M., Notario‐Pacheco, B., Arias-Palencia, N. M., Morales, P. F., & Martínez‐Vizcaíno, V. (2011) · Revista Española de Cardiología (English Edition) · doi:10.1016/j.rec.2010.11.009 · Cited by 10
Solera-Martínez, M., López-Martínez, S., Sánchez‐López, M., Martínez, P. M., Notario‐Pacheco, B., Arias-Palencia, N. M., Morales, P. F., & Martínez‐Vizcaíno, V. (2011) · Revista Española de Cardiología · doi:10.1016/j.recesp.2010.11.010 · Cited by 10
King, C., Hughes, G., Furegato, M., Mohammed, H. P., Were, J., Copas, A. J., Gilson, R. J. C., Shahmanesh, M., & Mercer, C. H. (2018) · EClinicalMedicine · doi:10.1016/j.eclinm.2018.11.002 · Cited by 10
Hsu, Y.-C., Tsai, I.-J., Hsu, H., Hsu, P.-W., Cheng, M., Huang, Y.-L., Chen, J., Lei, M., & Lin, C. (2021) · Diagnostics · doi:10.3390/diagnostics11060961 · Cited by 10
Nakade, Y., Toyama, T., Furuichi, K., Kitajima, S., Miyajima, Y., Fukamachi, M., Sagara, A., Shinozaki, Y., Hara, A., Shimizu, M., et al. (2015) · Clinical and Experimental Nephrology · doi:10.1007/s10157-015-1088-0 · Cited by 10
Garsi, J., Samson, É., Chablais, L., Zhivin, S., Niogret, C., & Laurier, D. (2014) · Archives of Industrial Hygiene and Toxicology · doi:10.2478/10004-1254-65-2014-2465 · Cited by 10
Metadata
- Authors
- Kannel, W. B., McGee, D., & Gordon, T.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Kannel, William B.
- Venue
- The American Journal of Cardiology
- Publisher
- Elsevier BV
- Published
- 1976-07
- Volume
- 38
- Issue
- 1
- Pages
- 46-51
- ISSN
- 0002-9149 (ISSN-L)
- OpenAlex
- W2031564429
- Cited by
- 1,189
- References
- 3
- Citations by year
- 2026: 18 · 2025: 30 · 2024: 29 · 2023: 37 · 2022: 31 · 2021: 27 · 2020: 37 · 2019: 30 · 2018: 31 · 2017: 42 · 2016: 36 · 2015: 38 · 2014: 52 · 2013: 48 · 2012: 29
- FWCI
- 21.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipoproteins and Cardiovascular Health
- Keywords
- cardiovascular risk profile, coronary artery disease, atherothrombotic brain infarction, hypertensive heart disease, intermittent claudication, serum cholesterol, blood pressure, smoking history, electrocardiogram, impaired glucose tolerance, risk function, disease incidence, prophylaxis
- MeSH terms
- Adult, Age Factors, Aged, Cardiovascular Diseases, Female, Cardiomegaly, Humans, Hypercholesterolemia, Hypertension, Life Style, Male, Massachusetts, Middle Aged, Obesity, Probability, Regression Analysis, Risk, Sex Factors, Smoking, Diabetes Complications
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