The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Prevention of Heart Failure: A Scientific Statement From the American Heart Association Councils on Epidemiology and Prevention, Clinical Cardiology, Cardiovascular Nursing, and High Blood Pressure Research; Quality of Care and Outcomes Research Interdisciplinary Working Group; and Functional Genomics and Translational Biology Interdisciplinary Working Group
Open accessAbstract
The increase in heart failure (HF) rates throughout the developed and developing regions of the world poses enormous challenges for caregivers, researchers, and policymakers. Therefore, prevention of this global scourge deserves high priority. Identifying and preventing the well-recognized illnesses that lead to HF, including hypertension and coronary heart disease, should be paramount among the approaches to prevent HF. Aggressive implementation of evidence-based management of risk factors for coronary heart disease should be at the core of HF prevention strategies. Questions currently in need of attention include how to identify and treat patients with asymptomatic left ventricular systolic dysfunction (Stage B HF) and how to prevent its development. The relationship of chronic kidney disease to HF and control of chronic kidney disease in prevention of HF need further investigation. Currently, we have limited understanding of the pathophysiological basis of HF in patients with preserved left ventricular systolic function and management techniques to prevent it. New developments in the field of biomarker identification have opened possibilities for the early detection of individuals at risk for developing HF (Stage A HF). Patient groups meriting special interest include the elderly, women, and ethnic/racial minorities. Future research ought to focus on obtaining a much better knowledge of genetics and HF, especially both genetic risk factors for development of HF and genetic markers as tools to guide prevention. Lastly, a national awareness campaign should be created and implemented to increase public awareness of HF and the importance of its prevention. Heightened public awareness will provide a platform for advocacy to create national research programs and healthcare policies dedicated to the prevention of HF.
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.
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
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
The Effect of Spironolactone on Morbidity and Mortality in Patients with Severe Heart Failure
Pitt, B., Zannad, F., Remme, W. J., Cody, R., Castaigne, A., Perez, A., Palensky, J., & Wittes, J. (1999) · New England Journal of Medicine · doi:10.1056/nejm199909023411001 · Cited by 9,214
Stratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059
(2000) · New England Journal of Medicine · doi:10.1056/nejm200001203420301 · Cited by 8,663
The SOLVD Investigators* (1991) · New England Journal of Medicine · doi:10.1056/nejm199108013250501 · Cited by 8,029
Brenner, B. M., Cooper, M. E., de Zeeuw, D., Keane, W. F., Mitch, W. E., Parving, H.-H., Remuzzi, G., Snapinn, S. M., Zhang, Z., & Shahinfar, S. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa011161 · Cited by 7,493
Unequal treatment: confronting racial and ethnic disparities in health care
(2003) · Choice Reviews Online · doi:10.5860/choice.40-5843 · Cited by 7,043
Haffner, S. M., Lehto, S., Rönnemaa, T., Pyörälä, K., & Laakso, M. (1998) · New England Journal of Medicine · doi:10.1056/nejm199807233390404 · Cited by 7,000
Cited by
Epidemiology and risk profile of heart failure
Bui, A. L., Horwich, T. B., & Fonarow, G. C. (2011) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2010.165 · Cited by 2,077
Self-citationLoffredo, F. S., Steinhauser, M. L., Jay, S. M., Gannon, J., Pancoast, J. R., Yalamanchi, P., Sinha, M., Dall’Osso, C., Khong, D., Shadrach, J. L., et al. (2013) · Cell · doi:10.1016/j.cell.2013.04.015 · Cited by 948
Kosiborod, M., Cavender, M. A., Fu, A. Z., Wilding, J. P., Khunti, K., Holl, R. W., Norhammar, A., Birkeland, K. I., Jørgensen, M. E., Thuresson, M., et al. (2017) · Circulation · doi:10.1161/circulationaha.117.029190 · Cited by 813
Jessup, M., Greenberg, B., Mancini, D., Cappola, T., Pauly, D. F., Jaski, B., Yaroshinsky, A., Zsebo, K. M., Dittrich, H., & Hajjar, R. J. (2011) · Circulation · doi:10.1161/circulationaha.111.022889 · Cited by 760
Heart failure and kidney dysfunction: epidemiology, mechanisms and management
Schefold, J. C., Filippatos, G., Hasenfuss, G., Anker, S. D., & von Haehling, S. (2016) · Nature Reviews Nephrology · doi:10.1038/nrneph.2016.113 · Cited by 671
Consistency With the DASH Diet and Incidence of Heart Failure
Levitan, E. B., Wolk, A., & Mittleman, M. A. (2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.56 · Cited by 227
Contribution of Major Lifestyle Risk Factors for Incident Heart Failure in Older Adults
Del Gobbo, L. C., Kalantarian, S., Imamura, F., Lemaitre, R., Siscovick, D. S., Psaty, B. M., & Mozaffarian, D. (2015) · JACC: Heart Failure · doi:10.1016/j.jchf.2015.02.009 · Cited by 186
Habitual Coffee Consumption and Risk of Heart Failure: A Dose-Response Meta-Analysis
Mostofsky, E., Rice, M. S., Levitan, E. B., & Mittleman, M. A. (2012) · Circulation: Heart Failure · doi:10.1161/circheartfailure.112.967299 · Cited by 185
Matsushita, K., Blecker, S., Pazin-Filho, A., Bertoni, A., Chang, P. P., Coresh, J., & Selvin, E. (2010) · Diabetes · doi:10.2337/db10-0165 · Cited by 183
Association of glucose metabolism with diastolic function along the diabetic continuum
Stahrenberg, R., Edelmann, F., Mende, M., Kockskämper, A., Düngen, H. D., Scherer, M., Kochen, M. M., Binder, L., Herrmann-Lingen, C., Gelbrich, G., et al. (2010) · Diabetologia · doi:10.1007/s00125-010-1718-8 · Cited by 141
Cumulative Blood Pressure in Early Adulthood and Cardiac Dysfunction in Middle Age
Kishi, S., Teixido-Tura, G., Ning, H., Venkatesh, B. A., Wu, C., Almeida, A., Choi, E.-Y., Gjesdal, O., Jacobs, D. R., Schreiner, P. J., et al. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2015.04.042 · Cited by 143
Jeong, E., Chung, J., Liu, H., Go, Y., Gladstein, S., Farzaneh‐Far, A., Lewandowski, E. D., & Dudley, S. C. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.115.003046 · Cited by 119
Levitan, E. B., Wolk, A., & Mittleman, M. A. (2009) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2009.06.061 · Cited by 119
Dhingra, R., Gona, P., Benjamin, E. J., Wang, T. J., Aragam, J., D'Agostino, R. B., Kannel, W. B., & Vasan, R. S. (2010) · European Journal of Heart Failure · doi:10.1093/eurjhf/hfq106 · Cited by 108
Self-citationPfister, R., Michels, G., Sharp, S. J., Luben, R., Wareham, N. J., & Khaw, K.-T. (2014) · European Journal of Heart Failure · doi:10.1002/ejhf.56 · Cited by 100
Kishi, S., Reis, J. P., Venkatesh, B. A., Gidding, S. S., Armstrong, A. C., Jacobs, D. R., Sidney, S., Wu, C. O., Cook, N. L., Lewis, C. E., et al. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.114.001264 · Cited by 96
Impact of obstructive sleep apnoea on diastolic function
Wachter, R., Lüthje, L., Klemmstein, D., Lüers, C., Stahrenberg, R., Edelmann, F., Holzendorf, V., Hasenfuß, G., Andreas, S., & Pieske, B. (2013) · European Respiratory Journal · doi:10.1183/09031936.00218211 · Cited by 93
Echouffo-Tcheugui, J. B., Butler, J., Yancy, C. W., & Fonarow, G. C. (2015) · Circulation: Heart Failure · doi:10.1161/circheartfailure.115.002070 · Cited by 64
Self-citationMoser, D. K., Frazier, S. K., Worrall-Carter, L., Biddle, M. J., Chung, M. L., Lee, K. S., & Lennie, T. A. (2011) · European Journal of Cardiovascular Nursing · doi:10.1016/j.ejcnurse.2010.05.006 · Cited by 51
Gill, P. S., Calvert, M., Davis, R., Davies, M. K., Freemantle, N., & Lip, G. Y. H. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026710 · Cited by 43
Metadata
- Authors
- Schocken, D. D., Benjamin, E. J., Fonarow, G. C., Krumholz, H. M., Levy, D., Mensah, G. A., Narula, J., Shor, E. S., Young, J. B., & Hong, Y.
- Venue
- Circulation
- Published
- 2008-05-13
- Volume
- 117
- Issue
- 19
- Pages
- 2544-2565
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2042298135
- Cited by
- 552
- References
- 60
- FWCI
- 31.90
- Type
- journal article
- Language
- en
- Open access
- bronze
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
Data sources
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.