The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Can clinical factors estimate insulin resistance in type 1 diabetes?
Open accessAbstract
An insulin resistance syndrome (IRS) score was developed based on clinical risk factors in adults with childhood-onset type 1 diabetes in the Epidemiology of Diabetes Complications (EDC) Study and was validated using euglycemic-hyperinsulinemic clamp studies. Hypertension, waist-to-hip ratio (WHR), triglyceride and HDL cholesterol levels, family history of type 2 diabetes, and glycemic control were risk factors used to define the score. A score of 1 (lowest likelihood IRS) to 3 (highest likelihood IRS) was assigned for each risk factor. Eligible subjects (n = 24) were recruited from the EDC cohort based on tertile of IRS score. Subjects received an overnight insulin infusion to normalize glucose levels, then underwent a 3-h euglycemic-hyperinsulinemic (60 mU x m(-2) x min(-1)) clamp. Glucose disposal rate (GDR) was determined during the last 30 min of the clamp. The GDR differed significantly by IRS group (9.65 +/- 2.99, 8.02 +/- 1.39, and 5.68 +/- 2.16 mg x kg(-1) x min(-1), P < 0.01). The GDR was inversely correlated with the IRS score (r = -0.64, P < 0.01). Using linear regression, the combination of risk factors that yielded the highest adjusted r2 value (0.57, P < 0.001) were WHR, hypertension, and HbA1. This study found that clinical risk factors can be used to identify subjects with type 1 diabetes who are insulin resistant, and it provides validation of a score based on clinical factors to determine the extent of insulin resistance in type 1 diabetes. This score will be applied to the entire EDC population in future studies to determine the effect of insulin resistance on complications.
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“In men with type 1 diabetes, cFT levels were also independently associated with eGDR, a marker of insulin sensitivity in individuals with type 1 diabetes (24), after adjusting for age (P ϭ 0.04).”
From Low testosterone levels are common and associated with insulin resistance in men with diabetes (2008) · cites this paper as [24]
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Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
DeFronzo, R. A., & Ferrannini, E. (1991) · Diabetes Care · doi:10.2337/diacare.14.3.173 · Cited by 4,555
Larsson, B., Svärdsudd, K., Welin, L., Wilhelmsen, L., Björntorp, P. A., & Tibblin, G. (1984) · BMJ · doi:10.1136/bmj.288.6428.1401 · Cited by 1,931
Hyperinsulinemia as an independent risk factor for ischemic heart disease
Després, J.-P., Lamarche, B., Mauriège, P., Cantin, B., Dagenais, G. R., Moorjani, S., & Lupien, P.-J. (1996) · New England Journal of Medicine · doi:10.1056/nejm199604113341504 · Cited by 1,699
DeFronzo, R. A., Simonson, D. C., & Ferrannini, E. (1982) · Diabetologia · doi:10.1007/bf00253736 · Cited by 539
Insulin resistance in insulin-dependent diabetic patients with microalbuminuria
Yip, J. W., Mattock, M. B., Morocutti, A., Sethi, M., Trevisan, R., & Viberti, G. (1993) · The Lancet · doi:10.1016/0140-6736(93)91943-g · Cited by 244
Orchard, T. J., Dorman, J. S., Maser, R. E., Becker, D. J., Ellis, D., LaPorte, R. E., Kuller, L. H., Wolfson, S. K., & DRASH, A. L. (1990) · Diabetes Care · doi:10.2337/diacare.13.7.741 · Cited by 207
The role of insulin resistance and hyperinsulinemia in coronary heart disease
Reaven, G. M. (1992) · Metabolism · doi:10.1016/0026-0495(92)90088-r · Cited by 114
Insulin sensitivity and vascular disease in insulin-dependent diabetics.
Martin, F. I. R., & Stocks, A. E. (1968) · BMJ · doi:10.1136/bmj.2.5597.81 · Cited by 46
Martin, F. I. R., & Hopper, J. L. (1987) · Diabetologia · doi:10.1007/bf00274219 · Cited by 39
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Vascular risk factors and diabetic neuropathy
Tesfaye, S., Chaturvedi, N., Eaton, S. E. M., Ward, J. D., Manes, C., Ionescu-Tirgoviste, C., Witte, D. R., & Fuller, J. H. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa032782 · Cited by 1,323
The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes
Groop, P.-H., Thomas, M. C., Moran, J. L., Wadèn, J., Thorn, L. M., Mäkinen, V.-P., Rosengård-Bärlund, M., Saraheimo, M., Hietala, K., Heikkilä, O., et al. (2009) · Diabetes · doi:10.2337/db08-1543 · Cited by 638
Orchard, T. J., Olson, J. C., Erbey, J. R., Williams, K., Forrest, K. Y.-Z., Smithline Kinder, L., Ellis, D., & Becker, D. J. (2003) · Diabetes Care · doi:10.2337/diacare.26.5.1374 · Cited by 492
Low testosterone levels are common and associated with insulin resistance in men with diabetes
Grossmann, M., Thomas, M. C., Panagiotopoulos, S., Sharpe, K., MacIsaac, R. J., Clarke, S., Zajac, J. D., & Jerums, G. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2177 · Cited by 468
Metadata
- Authors
- Williams, K. V., Erbey, J. R., Becker, D., Arslanian, S., & Orchard, T. J.
- Affiliations
- University of Pittsburgh (US)
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2000-04-01
- Volume
- 49
- Issue
- 4
- Pages
- 626-632
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2143570364
- Cited by
- 640
- References
- 11
- Citations by year
- 2026: 66 · 2025: 94 · 2024: 47 · 2023: 42 · 2022: 38 · 2021: 39 · 2020: 27 · 2019: 15 · 2018: 26 · 2017: 16 · 2016: 17 · 2015: 23 · 2014: 22 · 2013: 25 · 2012: 16
- FWCI
- 4.53
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (2 T32 DK07052-22, T32DK007052)
- National Center for Research Resources (5M01-RRR00084)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- insulin resistance, type 1 diabetes, childhood-onset diabetes, clinical risk factors, waist-to-hip ratio, hypertension, glycemic control, HbA1c, glucose disposal rate, hyperinsulinemic-euglycemic clamp
- MeSH terms
- Adult, Blood Glucose, Blood Pressure, Body Constitution, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Glycated Hemoglobin, Humans, Insulin, Insulin Resistance, Cholesterol, HDL, Male, Middle Aged, Risk Factors, Triglycerides, Glucose Clamp Technique, Logistic Models
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