The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Prediction of First Events of Coronary Heart Disease and Stroke With Consideration of Adiposity
Open accessAbstract
Background— Prediction of coronary heart disease (CHD) and cerebrovascular disease (CeVD) can aid healthcare providers and prevention programs. Previous reports have focused on traditional cardiovascular risk factors; less information has been available on the role of overweight and obesity. Methods and Results— Baseline data from 4780 Framingham Offspring Study adults with up to 24 years of follow-up were used to assess risk for a first CHD event (angina pectoris, myocardial infarction, or cardiac death) alone, first CeVD event (acute brain infarction, transient ischemic attack, and stroke-related death) alone, and CHD and CeVD events combined. Accelerated failure time models were developed for the time of first event to age, sex, cholesterol, high-density lipoprotein cholesterol, diabetes mellitus (DM), systolic blood pressure, smoking status, and body mass index (BMI). Likelihood-ratio tests of statistical significance were used to identify the best-fitting predictive functions. Age, sex, smoking status, systolic blood pressure, ratio of cholesterol to high-density lipoprotein cholesterol, and presence of DM were highly related ( P <0.01 for all) to the development of first CHD events, and all of the above except sex and DM were highly related to the first CeVD event. BMI also significantly predicted the occurrence of CHD ( P =0.05) and CeVD ( P =0.03) in multivariable models adjusting for traditional risk factors. The magnitude of the BMI effect was reduced but remained statistically significant when traditional variables were included in the prediction models. Conclusions— Greater BMI, higher systolic blood pressure, higher ratio of cholesterol to high-density lipoprotein cholesterol, and presence of DM were all predictive of first CHD events, and all but the presence of DM were predictive of first CeVD events. These results suggest that common pathophysiological mechanisms underlie the roles of BMI, DM, and systolic blood pressure as predictors for first CHD and CeVD events.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Overweight and obesity are independently associated with an increased risk of cardiovascular events, even after the influence of metabolic cardiovascular risk factors linked to excess weight has been accounted for. 3-6”
From Semaglutide and Cardiovascular Outcomes in Obesity without Diabetes (2023) · cites this paper as [6]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
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
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Hosmer, D. W., & Lemeshow, S. (2000) · doi:10.1002/0471722146 · Cited by 20,302
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Self-citationRegression Modeling Strategies
Harrell, F. E. (2001) · Springer series in statistics · doi:10.1007/978-1-4757-3462-1 · Cited by 9,270
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
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
D'Agostino, R. B., Grundy, S., Sullivan, L. M., Wilson, P., & for the CHD Risk Prediction Group (2001) · JAMA · doi:10.1001/jama.286.2.180 · Cited by 2,108
Self-citationAn updated coronary risk profile. A statement for health professionals.
Anderson, K. M., Wilson, P. W., Odell, P. M., & Kannel, W. B. (1991) · Circulation · doi:10.1161/01.cir.83.1.356 · Cited by 1,834
Self-citation
Cited by
Sorted by citations
Items 101–174 of 174
Singh, A., Atam, V., Patel, M. L., Chaudhary, S. C., Sawlani, K. K., & Das, L. (2013) · North American Journal of Medical Sciences · doi:10.4103/1947-2714.109200 · Cited by 9
(2001) · International Journal of Educational Development · doi:10.1016/s0738-0593(01)00016-5 · Cited by 9
Lévy, P., Lemański, T., Crossan, C., Lefebvre, A., Brière, J., Esposti, L. D., & Khan, Z. (2024) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2024.2365988 · Cited by 8
Chazova, I. E., Zhernakova, Y. V., Blinova, N. V., Маркова, Т. Н., Mazurina, N. V., Жиров, И. В., Uskach, T. M., Safiullina, A. A., Mironova, O. I., Elfimova, E. M., et al. (2022) · Eurasian heart journal · doi:10.38109/10.38109/2225-1685-2022-3-6-56 · Cited by 7
Ren, Z., Wang, Y., Chen, Q., Long, J., Zhang, R., Wu, X., Qian, W., Chen, Y., Liu, D., & Ren, W. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.671126 · Cited by 7
Trandafir, A.-V., Fraseniuc, M., & Lotrean, L. M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063502 · Cited by 7
Sanz, J., Moreno, P., & Fuster, V. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2008.12.047 · Cited by 8
Central Obesity—More Weight in Cardiovascular Disease Prevention
Fletcher, G. F. (2009) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2009.01.350 · Cited by 7
Obesity and Anesthesia: Challenges in the Perioperative Period.
Thaer, S. V., McVey, J., Shelton, J., & Johnson, Q. L. (2024) · PubMed Central · Cited by 6
Liu, L., Yang, X., Long, Y., Mallhi, A. K., Mehta, K. D., Veznedaroglu, E., & Yin, X. (2016) · International Journal of Stroke · doi:10.1177/1747493016660107 · Cited by 5
Heart Stroke Prediction using Machine Learning
Garg, P., Jain, T. K., Vashishtha, V., Tiwari, V., & Kumar, A. (2023) · International Conference on Futuristic Technologies (INCOFT) · doi:10.1109/incoft60753.2023.10425509 · Cited by 6
Cost-effectiveness analysis of valsartan versus losartan and the effect of switching
Baker, T. M., Goh, J. W., Johnston, A. E., Falvey, H., Brede, Y., & Brown, R. E. (2011) · Journal of Medical Economics · doi:10.3111/13696998.2011.641043 · Cited by 6
Prevention of Cardiovascular Disease
Owen, A. J., & Reid, C. M. (2012) · Wiley eBooks · doi:10.1002/9781118399378.ch12 · Cited by 6
Obesity/Overweight: Health Consequences
Bassuk, S. S., & Manson, J. E. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803678-5.00308-8 · Cited by 6
Body adipose distribution among patients with type 2 diabetes mellitus
Xie, L., & Cheng, M. (2012) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2012.09.003 · Cited by 5
Introduction to Nephrocardiology
Hatamizadeh, P. (2021) · Cardiology Clinics · doi:10.1016/j.ccl.2021.04.001 · Cited by 6
Should This Patient Have Weight Loss Surgery?
Smetana, G. W., Jones, D. B., & Wee, C. C. (2017) · Annals of Internal Medicine · doi:10.7326/m17-0698 · Cited by 4
Barth, S., Zacher, M., Reinecke, H., Hautmann, M. B., Kerber, S., Gietzen, F. H., Halbfaß, P., Schade, A., Deneke, T., Schieffer, B., et al. (2016) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2016.08.007 · Cited by 5
Epidemiology of Cardio-Oncology
Lenneman, C. G., Kimmick, G. G., & Sawyer, D. B. (2017) · Springer eBooks · doi:10.1007/978-3-319-43096-6_1 · Cited by 4
Modeling Risk Factors and Confounding Effects in Stroke
McColl, B., Howells, D., Rothwell, N., & Denes, A. (2010) · Neuromethods · doi:10.1007/978-1-60761-750-1_9 · Cited by 3
A Saudi Heart Association Position Statement on Obesity and Cardiovascular Disease
AlHabeeb, W., Kinsara, A. J., Bakhsh, A., Tash, A. A., Alshammary, A., Almasood, A. S., Alghalayini, K. W., Arafah, M., Hamdy, O., Alsifri, S. N., et al. (2024) · Journal of the Saudi Heart Association · doi:10.37616/2212-5043.1391 · Cited by 4
Monsuez, J.-J., Kesse‐Guyot, E., Fezeu, L., Blacher, J., Galan, P., Sebbane, G., Herçberg, S., & Czernichow, S. (2010) · Journal of Hypertension · doi:10.1097/hjh.0b013e32833d4576 · Cited by 3
Modeling Risk Factors and Confounding Effects in Stroke
McColl, B. W., Howells, D. W., Rothwell, N. J., & Dénes, Á. (2016) · Neuromethods · doi:10.1007/978-1-4939-5620-3_9 · Cited by 3
Cardiovascular Disease and Neurocognitive Function
Waldstein, S. R., Wendell, C. R., Hosey, M. M., Seliger, S. L., & Katzel, L. I. (2019) · Springer eBooks · doi:10.1007/978-3-030-14895-9_6 · Cited by 3
Golomb, B. A. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.03.029 · Cited by 3
Diabetes mellitus and macrovascular disease: epidemiology and cardiovascular risk assessment
Fan, W., & Wong, N. D. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-99991-5.00011-5 · Cited by 3
Orozco‐Ruiz, X., & Kostev, K. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70104 · Cited by 2
L’hostellier, A., Kouanfack, C., Chazallon, C., Cardoso, S. W., Eholié, S. P., Banze, N., Halue, G., Capeau, J., Delaugerre, C., Moh, R., et al. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-110560 · Cited by 2
Gender Differences in Major Risk Factors for Cardiovascular Disease in Mexican Adults
Flores‐Luna, L., Escamilla-Núñez, C., Cruz‐Bautista, I., Rojas-Martínez, R., Cadena, L. H., Castro-Porras, L. V., Romero, M., & Aguilar-Salinas, C. A. (2026) · Global Heart · doi:10.5334/gh.1531 · Cited by 2
Thapa, L., Katwal, S., & Thapa, B. R. (2024) · Annals of Medicine and Surgery · doi:10.1097/ms9.0000000000002269 · Cited by 2
Cardiovascular disease risk in people of African ancestry with HIV in the United Kingdom
Ko, S., Domínguez, L., Ottaway, Z. V., Campbell, L. J., Fox, J., Burns, F. M., Hamzah, L., Ustianowski, A., Clarke, A. E., Kegg, S., et al. (2024) · HIV Medicine · doi:10.1111/hiv.13706 · Cited by 2
Liu, Y., Han, J., Han, J.-Y., Long, Y.-Y., Liu, Y., Mao, K.-N., Peng, S., Song, Z.-G., Peng, S.-M., Tan, S.-M., et al. (2025) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2025.108285 · Cited by 2
Bramaramba, J., Shaik, M. A., & Maram, B. (2025) · International Conference on Sentiment Analysis and Deep Learning (ICSADL) · doi:10.1109/icsadl65848.2025.10933449 · Cited by 2
Cardiovascular effects of semaglutide and tirzepatide and their potential for cardioprevention
Cherkashin, D. V., Салухов, В. В., & Khalimov, Y. S. (2025) · Meditsinskiy sovet = Medical Council · doi:10.21518/ms2025-323 · Cited by 2
COLTRI, B. M., da Costa, K. F., Pontillo, V., Bonfleur, M. L., Brancalhão, R. M. C., Beu, C. C. L., Pedrotti, S., Nassar, P. O., & Nassar, C. A. (2017) · Revista Brasileira de Ciências da Saúde · doi:10.22478/ufpb.2317-6032.2017v21n2.27413 · Cited by 2
Comparative Analysis of Prediction Algorithms for Heart Diseases
Karun, I. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-981-15-4409-5_53 · Cited by 2
TSUTSUMI, Y., Sanui, M., Shimojima, A., Ishioka, H., & Urashima, M. (2012) · Journal of Nutritional Science and Vitaminology · doi:10.3177/jnsv.58.327 · Cited by 2
Abshire, D. A., Lennie, T. A., Mudd‐Martin, G., & Moser, D. K. (2017) · Rural and Remote Health · doi:10.22605/rrh3984 · Cited by 2
Nonlinear Relations of Cardiovascular Risk Factors to Neuropsychological Function and Dementia
Wendell, C. R., Katzel, L. I., & Waldstein, S. R. (2012) · Springer eBooks · doi:10.1007/978-1-4614-4998-0_24 · Cited by 2
Prevalencia de obesidad en hipertensos y su influencia en el grado de control de la presión arterial
Divisón, J. A., Moreno, F. J. A., Prieto-Díaz, M. Á., Martínez, T., Belinchón, R. D., Fernández, P. B., Caro, J. L. L., Carrasco, E., Roca, G. C. R., & Alsina, D. G.-S. (2011) · Hipertensión y Riesgo Vascular · doi:10.1016/j.hipert.2011.05.003 · Cited by 2
Huang, X., Liang, J., Zhang, J., Fu, J., Deng, S., Xie, W., & Zheng, F. (2024) · BMC Public Health · doi:10.1186/s12889-024-19532-4 · Cited by 1
Wang, W., Huang, M., Wu-lin, L. I., Du, X.-W., Li, Y., Lu, Z.-H., Sun, B.-B., Mao, Y., Ma, X.-Y., Han, X., et al. (2026) · Biology of Sex Differences · doi:10.1186/s13293-026-00823-x · Cited by 1
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
Epidemiology of Essential Hypertension in Children: The Bogalusa Heart Study
Urbina, E. M., Srinivasan, S. R., & Berenson, G. S. (2010) · Humana Press eBooks · doi:10.1007/978-1-60327-824-9_11 · Cited by 1
The Year in Epidemiology, Health Services Research, and Outcomes Research
Hlatky, M. A., & Heidenreich, P. A. (2011) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2011.01.020 · Cited by 1
Hemodiyaliz Hastalarında Serebrovasküler Olaylar
Özelsancak, R. (2020) · Arşiv Kaynak Tarama Dergisi · doi:10.17827/aktd.558269 · Cited by 1
Profile of Co-morbidities in the Obese
Salati, S. A. (2015) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 1
Albu, J. (2012) · Wiley eBooks · doi:10.1002/9781394323142.ch12 · Cited by 1
Health Consequences of Obesity/Overweight
Bassuk, S. S., & Manson, J. E. (2017) · Elsevier eBooks · doi:10.1016/b978-0-323-99967-0.00362-8 · Cited by 1
Cardiovascular risk prediction in the Netherlands
van Dis, S. J. (2011) · doi:10.18174/186623
Tamashiro-Duran, J. H. (2011) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.5.2011.tde-03012012-094605
Guía práctica de prevención cardiovascular
Araújo, O., Ardanaz, N., Bachman, R., Bianco, E., Burdiat, G., Arnesto, O. D., González, G., Lado, M., Lagos, M. E., Layerle, B., et al. (2009) · Revista Uruguaya de Cardiología
Kim, J.-H., Ryoo, J.-G., Lee, J.-W., & Kim, J.-H. (2016)
6) Associations between Sleep Disordered Breathing and Vascular Lesions and the Treatment for Them
Chin, K. (2014) · Nihon Naika Gakkai Zasshi · doi:10.2169/naika.103.101b
Balkau, B., & Chen, L. (2010) · touchREVIEWS in Endocrinology · doi:10.17925/ee.2011.07.01.19
Médiateurs métaboliques du risque cardiovasculaire au cours du surpoids et de l’obésité
Sultan, A. (2015) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(15)30191-7
Correlation Between Obesity And Periodontitis In Vietnamese Patients
Tran, T. P., Tran, T. H., & Pham, T. A. V. (2018) · International Dentistry Scientific Meeting (IDSM) · doi:10.2991/idsm-17.2018.29
6) Associations between Sleep Disordered Breathing and Vascular Lesions and the Treatment for Them
Chin, K. (2014) · Nihon Naika Gakkai Zasshi · doi:10.2169/naika.103.2163
Liu, C., Zheng, Y., Wang, X., Wu, Y., Chen, C., Duan, W., & Yuan, X. (2021) · Research Square · doi:10.21203/rs.3.rs-616369/v1
(2011) · Wiley eBooks · doi:10.1002/9781119961307.refs
Danaei, G., Rimm, E. B., Oza, S., Kulkarni, S. C., Murray, C., & Ezzati, M. (2011) · PLoS Medicine · doi:10.1371/annotation/a9616323-4cad-4b65-b792-e0975a536a52
The Year in Epidemiology, Health Services Research, and Outcomes Research
Hlatky, M. A., & Heidenreich, P. A. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.10.013
ศรีเจริญธรรม, ส., ศุภพงษ์, ส., รัตนานุพงศ์, ธ., & เอกพลากร, ว. (2017) · Chula Digiverse · doi:10.58837/chula.the.2017.760
Burden of Obesity in Adults at a Tertiary Care Hospital
Bukasa-Kakamba, J., Wadhwani, S., Malu, E. N., Wadhwani, N., Latil-Plat, F., Poka, N., Kalambayi, I. K., Mutombo, M. B., Mohamed, A., Bangolo, A., et al. (2025) · Cureus · doi:10.7759/cureus.84776 · Cited by 1
Adipositas und kardiovaskuläres Risiko – mehr als nur der BMI
Heinitz, S., & Blüher, M. (2025) · Aktuelle Kardiologie · doi:10.1055/a-2606-7037
Taylor, P. (2013) · Otago University Research Archive (University of Otago)
Huang, X., Liang, J., Zhang, J. Y., Fu, J., Deng, S., Xie, W., & Zheng, F. (2024) · Figshare · doi:10.6084/m9.figshare.26974335
A consensus statement from the European Society for Clinical Investigation
Carbone, F., Després, J., Ioannidis, J. P. A., Neeland, I. J., Garruti, G., Busetto, L., Liberale, L., Ministrini, S., Vilahur, G., Schindler, T. H., et al. (2025) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Nguyen, T. H. T., Trần, T. X. M., Yoon, J., & Park, B. (2026) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-25-1504
Huang, X., Chao, Z., Wang, Z., Hu, X., & Yang, C. (2026) · medRxiv · doi:10.64898/2026.03.10.26348003
Developing shortcut algorithms for value-based pricing of pharmaceuticals
Gandjour, A. (2026) · Health Economics Review · doi:10.1186/s13561-026-00757-5
Subtypes of Hypertension 2 to 7 Years After First Pregnancy
Brubaker, L. H., Catov, J. M., Merz, C. N. B., Barnes, S. E., Gibbs, B. B., Booker, W. A., Chung, J. M., Greenland, P., Grobman, W. A., Khan, S. S., et al. (2026) · Hypertension · doi:10.1161/hypertensionaha.125.26296
Spiazzi, B. F., Zingano, C. P., Colpani, V., & Gerchman, F. (2026) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2026.113431 · Cited by 3
Metadata
- Authors
- Wilson, P. W. F., Bozeman, S. R., Burton, T. M., Hoaglin, D. C., Ben-Joseph, R., & Pashos, C. L.
- Affiliations
- Emory University (US)
- Venue
- Circulation
- Published
- 2008-07-08
- Volume
- 118
- Issue
- 2
- Pages
- 124-130
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2007287562
- Cited by
- 174
- References
- 19
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 7 · 2023: 8 · 2022: 7 · 2021: 11 · 2020: 5 · 2019: 3 · 2018: 5 · 2017: 13 · 2016: 12 · 2015: 7 · 2014: 7 · 2013: 7 · 2012: 13
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Sanofi
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Keywords
- coronary artery disease, stroke, cerebrovascular disease, adiposity, body mass index, cardiovascular risk prediction, accelerated failure time model, Framingham Offspring Study, systolic blood pressure, diabetes mellitus, TC/HDL-C ratio, angina pectoris, myocardial infarction, transient ischemic attack, premature atherosclerosis
- MeSH terms
- Adult, Cholesterol, Coronary Disease, Diabetes Mellitus, Humans, Hypertension, Male, Middle Aged, Predictive Value of Tests, Risk Factors, Body Mass Index, Risk Assessment, Stroke, Adiposity
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
