The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Hyperglycemia and Acute Coronary Syndrome: A Scientific Statement From the American Heart Association Diabetes Committee of the Council on Nutrition, Physical Activity, and Metabolism
Open accessAbstract
Hyperglycemia is common and associated with markedly increased mortality rates in patients hospitalized with acute coronary syndromes (ACS). Despite the fact that several studies have documented this association, hyperglycemia remains underappreciated as a risk factor, and it is frequently untreated in ACS patients. This is in large part due to limitations of prior studies, and the remaining critical gaps in our understanding of the relationship between hyperglycemia and poor outcomes. The main objective of the present statement is to summarize the current state of knowledge regarding the association between elevated glucose and patient outcomes in ACS and to outline the most important knowledge gaps in this field. These gaps include the need to specifically define hyperglycemia, develop optimal ways of measuring and tracking glucose values during ACS hospitalization, and better understand the physiological mechanisms responsible for poor outcomes associated with hyperglycemia. The most important issue, however, is whether elevated glucose is a direct mediator of adverse outcomes in ACS patients or just a marker of greater disease severity. Given the marked increase in short- and long-term mortality associated with hyperglycemia, there is an urgent need for definitive large randomized trials to determine whether treatment strategies aimed at glucose control will improve patient outcomes and to define specific glucose treatment targets. Although firm guidelines will need to await completion of these clinical trials, the present statement also provides consensus recommendations for hyperglycemia management in patients with ACS on the basis of the available data.
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
Intensive insulin therapy in the medical ICU
Van den Berghe, G., Wilmer, A., Hermans, G., Meersseman, W., Wouters, P. J., Milants, I., Van Wijngaerden, E., Bobbaers, H., & Bouillon, R. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052521 · Cited by 3,639
Capes, S. E., Hunt, D., Malmberg, K., & Gerstein, H. C. (2000) · The Lancet · doi:10.1016/s0140-6736(99)08415-9 · Cited by 2,187
Esposito, K., Nappo, F., Marfella, R., Giugliano, G., Giugliano, F., Ciotola, M., Quagliaro, L., Ceriello, A., & Giugliano, D. (2002) · Circulation · doi:10.1161/01.cir.0000034509.14906.ae · Cited by 1,961
Self-citationKawano, H., Motoyama, T., Hirashima, O., Hirai, N., Miyao, Y., Sakamoto, T., Kugiyama, K., Ogawa, H., & Yasue, H. (1999) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(99)00168-0 · Cited by 676
Kosiborod, M., Rathore, S. S., Inzucchi, S. E., Masoudi, F. A., Wang, Y., Havranek, E. P., & Krumholz, H. M. (2005) · Circulation · doi:10.1161/circulationaha.104.517839 · Cited by 666
Self-citationStranders, I., Diamant, M., van Gelder, R. E., Spruijt, H. J., Twisk, J. W. R., Heine, R. J., & Visser, F. C. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.9.982 · Cited by 353
Pandolfi, A., Giaccari, A., Cilli, C., Alberta, M. M., Morviducci, L., De Filippis, E. A., Buongiorno, A., Pellegrini, G., Capani, G., & Consoli, A. (2001) · Acta Diabetologica · doi:10.1007/s005920170016 · Cited by 144
Cited by
Moghissi, E. S., Korytkowski, M. T., DiNardo, M., Einhorn, D., Hellman, R., Hirsch, I. B., Inzucchi, S. E., Ismail-Beigi, F., Kirkman, M. S., & Umpierrez, G. E. (2009) · Diabetes Care · doi:10.2337/dc09-9029 · Cited by 1,444
Glycemic Variability: How Do We Measure It and Why Is It Important?
Suh, S., & Kim, J. H. (2015) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2015.39.4.273 · Cited by 439
Coronary Artery Disease and Diabetes Mellitus
Aronson, D., & Edelman, E. R. (2014) · Cardiology Clinics · doi:10.1016/j.ccl.2014.04.001 · Cited by 222
Evaluation of Ranolazine in Patients With Type 2 Diabetes Mellitus and Chronic Stable Angina
Kosiborod, M., Arnold, S. V., Spertus, J. A., McGuire, D. K., Li, Y., Yue, P., Ben-Yehuda, O., Katz, A., Jones, P. G., Olmsted, A., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.02.011 · Cited by 205
Self-citationContinuous monitoring of circadian glycemic patterns in patients receiving prednisolone for COPD
Burt, M. G., Roberts, G. W., Aguilar-Loza, N. R., Frith, P., & Stranks, S. N. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-2729 · Cited by 203
Insulin says NO to cardiovascular disease
Yu, Q., Gao, F., & Ma, X. L. (2011) · Cardiovascular Research · doi:10.1093/cvr/cvq349 · Cited by 172
Giraldez, R. R., Clare, R. M., Lopes, R. D., Dalby, A. J., Prabhakaran, D., Brogan, G. X., Giugliano, R. P., James, S. K., Tanguay, J.-F., Pollack, C. V., et al. (2013) · American Heart Journal · doi:10.1016/j.ahj.2013.01.005 · Cited by 111
Zhou, M., Liu, J., Hao, Y., Liu, J., Huo, Y., Smith, S. C., Ge, J., Ma, C., Han, Y., Fonarow, G. C., et al. (2018) · Cardiovascular Diabetology · doi:10.1186/s12933-018-0793-x · Cited by 103
Palladino, R., Tabak, A. G., Khunti, K., Valabhji, J., Majeed, A., Millett, C., & Vamos, E. P. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-001061 · Cited by 98
Perioperative management of hyperglycemia and diabetes in cardiac surgery patients
Galindo, R. J., Fayfman, M., & Umpierrez, G. E. (2018) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2017.10.005 · Cited by 95
Caturano, A., Galiero, R., Pafundi, P. C., Cesaro, A., Vetrano, E., Palmiero, G., Rinaldi, L., Salvatore, T., Marfella, R., Sardu, C., et al. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108959 · Cited by 73
Zhao, Y.-T., Weng, C.-L., Chen, M.-L., Li, K.-B., Ge, Y.-G., Lin, X.-M., Zhao, W.-S., Chen, J., Zhang, L., Yin, J.-X., et al. (2010) · Heart · doi:10.1136/hrt.2010.194563 · Cited by 62
New-onset hyperglycemia and acute coronary syndrome: a systematic overview and meta-analysis
Angeli, F., Verdecchia, P., Karthikeyan, G., Mazzotta, G., Pinto, M., Repaci, S., Gatteschi, C., Gentile, G., Cavallini, C., & Reboldi, G. (2010) · Current Diabetes Reviews · doi:10.2174/157339910790909413 · Cited by 48
Goyal, A., Mehta, S. R., Gerstein, H. C., Díaz, R., Afzal, R., Xavier, D., Zhu, J., Pais, P., Lisheng, L., Kazmi, K. A., et al. (2009) · American Heart Journal · doi:10.1016/j.ahj.2008.12.007 · Cited by 35
Hyperglycemia in Acute Coronary Syndromes
Kosiborod, M. (2018) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2017.11.002 · Cited by 37
Self-citationArnold, S. V., McGuire, D. K., Spertus, J. A., Li, Y., Yue, P., Ben-Yehuda, O., Belardinelli, L., Jones, P. G., Olmsted, A., Chaitman, B. R., et al. (2014) · American Heart Journal · doi:10.1016/j.ahj.2014.06.020 · Cited by 19
Self-citation
Metadata
- Authors
- Deedwania, P., Kosiborod, M., Barrett, E., Ceriello, A., Isley, W., Mazzone, T., & Raskin, P.
- Venue
- Circulation
- Published
- 2008-03-25
- Volume
- 117
- Issue
- 12
- Pages
- 1610-1619
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2096409247
- Cited by
- 488
- References
- 7
- FWCI
- 35.95
- 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.
