The DOI matches its Crossref record.
Involvement of the hemostatic system in the insulin resistance syndrome. A study of 1500 patients with angina pectoris. The ECAT Angina Pectoris Study Group.
Open accessAbstract
Hyperinsulinemia, a major indicator of insulin resistance, may exert its influence on the risk of coronary artery disease partially through disturbances of the hemostatic system. The relations of fasting insulin concentrations with the degree of coronary atherosclerosis, other coronary risk factors (including some markers of the insulin resistance syndrome such as body mass index and triglyceride), markers of inflammation, and hemostatic factors were investigated in 1484 patients with angina pectoris. Mean insulin levels were higher in patients with one or more coronary vessel stenoses than in those without (9.9 microU/mL compared with 9.0 microU/mL, P < .0001). However, the association the presence of vessel stenoses was stronger in patients with a previous myocardial infarction than in those without. Insulin increased markedly (P < .0001) and independently of other risk factors with age body mass index, triglyceride concentration, and markers of inflammation, such as white blood cell count and C-reactive protein. The strongest relations between insulin and hemostatic factors were observed with fibrinolytic variables, particularly plasminogen activator inhibitor-1 (PAI-1) levels (r = .44, P < .0001). This relation decreased somewhat (r = .29) after simultaneous adjustment for markers of the insulin resistance syndrome, mainly body mass index and triglycerides, but not after adjustment for markers of inflammation. Therefore, we propose that increased PAI-1 levels, which are essentially related to the classic metabolic aspect of the insulin resistance syndrome, have to be included in this syndrome.(ABSTRACT TRUNCATED AT 250 WORDS)
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
Cited by
American College of Endocrinology Position Statement on the Insulin Resistance Syndrome
Einhorn, D. (2003) · Endocrine Practice · doi:10.4158/ep.9.s2.5 · Cited by 1,066
Festa, A., D’Agostino, R., Tracy, R. P., & Haffner, S. M. (2002) · Diabetes · doi:10.2337/diabetes.51.4.1131 · Cited by 1,057
Inflammatory Markers and Physical Performance in Older Persons: The InCHIANTI Study
Cesari, M., Penninx, B. W. J. H., Pahor, M., Lauretani, F., Corsi, A. M., Williams, G. R., Guralnik, J. M., & Ferrucci, L. (2004) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/59.3.m242 · Cited by 901
Insulin Resistance and Chronic Cardiovascular Inflammatory Syndrome
Fernández-Real, J. M., & Ricart, W. (2003) · Endocrine Reviews · doi:10.1210/er.2002-0010 · Cited by 886
Surrogate markers of insulin resistance: A review
Singh, B. (2010) · World Journal of Diabetes · doi:10.4239/wjd.v1.i2.36 · Cited by 622
Association between Physical Activity and Markers of Inflammation in a Healthy Elderly Population
Geffken, D. F., Cushman, M., Burke, G. L., Polak, J. F., Sakkinen, P. A., & Tracy, R. P. (2001) · American Journal of Epidemiology · doi:10.1093/aje/153.3.242 · Cited by 599
Hypertriglyceridemia, atherogenic dyslipidemia, and the metabolic syndrome
Grundy, S. M. (1998) · The American Journal of Cardiology · doi:10.1016/s0002-9149(98)00033-2 · Cited by 525
Hak, A. E., Stehouwer, C. D. A., Bots, M. L., Polderman, K. H., Schalkwijk, C. G., Westendorp, I. C. D., Hofman, A., & Witteman, J. C. M. (1999) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.19.8.1986 · Cited by 525
Diabetes mellitus as a prothrombotic condition
Grant, P. J. (2007) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2007.01824.x · Cited by 443
Marroquin, O. C., Kip, K. E., Kelley, D. E., Johnson, B. D., Shaw, L. J., Bairey Merz, C. N., Sharaf, B. L., Pepine, C. J., Sopko, G., & Reis, S. E. (2004) · Circulation · doi:10.1161/01.cir.0000115517.26897.a7 · Cited by 243
The Metabolic Syndrome and Inflammation
Sutherland, J. P., McKinley, B., & Eckel, R. H. (2004) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2004.2.82 · Cited by 243
Hanefeld, M. (1999) · Atherosclerosis · doi:10.1016/s0021-9150(99)00059-3 · Cited by 222
The Importance of Hyperglycemia in the Nonfasting State to the Development of Cardiovascular Disease
Haffner, S. M. (1998) · Endocrine Reviews · doi:10.1210/edrv.19.5.0343 · Cited by 193
Hak, A. E., Pols, H. A. P., Stehouwer, C. D. A., Meijer, J., Kiliaan, A. J., Hofman, A., Breteler, M. M. B., & Witteman, J. C. M. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.9.7873 · Cited by 184
Yudkin, J. S., Juhan-Vague, I., Hawe, E., Humphries, S. E., di Minno, G., Margaglione, M., Tremoli, E., Kooistra, T., Morange, P. E., Lundman, P., et al. (2004) · Metabolism · doi:10.1016/j.metabol.2004.02.004 · Cited by 153
Self-citationIntensive Integrated Therapy of Type 2 Diabetes
Gæde, P., & Pedersen, O. (2004) · Diabetes · doi:10.2337/diabetes.53.suppl_3.s39 · Cited by 108
Vanhanen, M., Koivisto, K., Karjalainen, L., Helkala, E.-L., Laakso, M., Soininen, H., & Riekkinen, P. (1997) · NeuroReport · doi:10.1097/00001756-199704140-00041 · Cited by 77
Insulin resistance and the metabolic syndrome—or the pitfalls of epidemiology
Yudkin, J. S. (2007) · Diabetologia · doi:10.1007/s00125-007-0711-3 · Cited by 75
de Beer, F., Stalenhoef, A. F. H., Hoogerbrugge, N., Kastelein, J. J. P., Gevers Leuven, J. A., van Duijn, C. M., Havekes, L. M., & Smelt, A. H. M. (2002) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/hq0202.102919 · Cited by 74
Berntorp, Berntorp, Brorson, & Frick (1998) · Journal of Internal Medicine · doi:10.1046/j.1365-2796.1998.00264.x · Cited by 42
Kim, H.-S., Abbasi, F., Lamendola, C., McLaughlin, T., & Reaven, G. M. (2001) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/74.5.592 · Cited by 33
Barsness, G. W., Holmes, D. R., & Gersh, B. J. (2005) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2005.06.006 · Cited by 5
Metadata
- Authors
- Juhan-Vague, I., Thompson, S. G., & Jespersen, J.
- Venue
- Arteriosclerosis and Thrombosis: A Journal of Vascular Biology
- Published
- 1993-12
- Volume
- 13
- Issue
- 12
- Pages
- 1865-1873
- ISSN
- 1049-8834 (ISSN-L)
- OpenAlex
- W2092362047
- Cited by
- 322
- References
- 0
- FWCI
- 8.05
- 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.