The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Relationship to insulin resistance of the adult treatment panel III diagnostic criteria for identification of the metabolic syndrome.
Open accessAbstract
The Adult Treatment Panel III (ATP III) has published criteria for diagnosing the metabolic syndrome, a cluster of closely related abnormalities related to insulin resistance that increase cardiovascular disease risk. The present analysis was performed to evaluate the ability of these criteria to identify insulin-resistant individuals. The population consisted of 443 healthy volunteers, with measurements of BMI, blood pressure, fasting plasma glucose, triglycerides, HDL cholesterol concentrations, and steady-state plasma glucose (SSPG) concentration. Insulin resistance was defined as being in the top tertile of SSPG concentrations. Of the population, 20% satisfied ATP III criteria for the metabolic syndrome. Although insulin resistance and the presence of the metabolic syndrome were significantly associated (P < 0.001), the sensitivity and positive predictive value equaled 46% (69 of 149) and 76% (69 of 91), respectively. Being overweight, with high triglycerides, low HDL cholesterol, or elevated blood pressure, most often resulted in a diagnosis of the metabolic syndrome. Thus, the ATP III criteria do not provide a sensitive approach to identifying insulin-resistant individuals. The individual components vary both in terms of their utility in making a diagnosis of the metabolic syndrome and their relationship to insulin resistance, with the obesity and lipid criteria being most useful.
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“Although insulin resistance is associated with high triglycerides, VLDL and triglyceride concentrations can be similar in patients with widely divergent insulin sensitivity (68, 69).”
From Evaluation and Treatment of Hypertriglyceridemia: An Endocrine Society Clinical Practice Guideline (2012) · cites this paper as [69]
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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
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
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
Self-citationReport of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,325
Ford, E. S., Giles, W. H., & Dietz, W. H. (2002) · JAMA · doi:10.1001/jama.287.3.356 · Cited by 6,698
Self-citationThe metabolic syndrome and total and cardiovascular disease mortality in middle-aged men
Lakka, H.-M. (2002) · JAMA · doi:10.1001/jama.288.21.2709 · Cited by 5,033
Banting lecture 1988. Role of insulin resistance in human disease.
Reaven, G. (1988) · Diabetes · doi:10.2337/diabetes.37.12.1595 · Cited by 3,801
Self-citationFollow-up report on the diagnosis of diabetes mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3160 · Cited by 3,784
Insulin Resistance and the Polycystic Ovary Syndrome: Mechanism and Implications for Pathogenesis
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The Metabolic Syndrome: Time for a Critical Appraisal
Kahn, R., Buse, J. B., Ferrannini, E., & Stern, M. P. (2005) · Diabetes Care · doi:10.2337/diacare.28.9.2289 · Cited by 2,400
Ford, E. S. (2005) · Diabetes Care · doi:10.2337/diacare.28.7.1769 · Cited by 1,718
Self-citationThe Metabolic Syndrome as a Predictor of Nonalcoholic Fatty Liver Disease
Hamaguchi, M., Kojima, T., Takeda, N., Nakagawa, T., Taniguchi, H., Fujii, K., Omatsu, T., Nakajima, T., Sarui, H., Shimazaki, M., et al. (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-143-10-200511150-00009 · Cited by 1,068
Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength?
Timon, I. M. (2014) · World Journal of Diabetes · doi:10.4239/wjd.v5.i4.444 · Cited by 1,019
Evaluation and Treatment of Hypertriglyceridemia: An Endocrine Society Clinical Practice Guideline
Berglund, L., Brunzell, J. D., Goldberg, A. C., Goldberg, I. J., Sacks, F., Murad, M. H., & Stalenhoef, A. F. H. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-3213 · Cited by 887
“Although insulin resistance is associated with high triglycerides, VLDL and triglyceride concentrations can be similar in patients with widely divergent insulin sensitivity (68, 69).”
Metadata
- Authors
- Cheal, K. L., Abbasi, F., Lamendola, C., McLaughlin, T., Reaven, G. M., & Ford, E. S.
- Affiliations
- Brigham and Women's Hospital (US)
- Stanford Medicine (US)
- Centers for Disease Control and Prevention (US)
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2004-05-01
- Volume
- 53
- Issue
- 5
- Pages
- 1195-1200
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2018346950
- Cited by
- 312
- References
- 41
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 3 · 2022: 6 · 2021: 2 · 2020: 6 · 2019: 5 · 2018: 6 · 2017: 5 · 2016: 7 · 2015: 6 · 2014: 19 · 2013: 15 · 2012: 15
- FWCI
- 23.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- metabolic syndrome, insulin resistance, Adult Treatment Panel III criteria, diagnostic sensitivity, positive predictive value, steady-state plasma glucose, triglycerides, HDL cholesterol, blood pressure, obesity, cardiovascular risk
- MeSH terms
- Adult, Aged, Blood Glucose, Blood Pressure, Body Weight, Diagnostic Tests, Routine, Female, Homeostasis, Humans, Insulin Resistance, Cholesterol, HDL, Male, Middle Aged, Osmolar Concentration, Predictive Value of Tests, Sensitivity and Specificity, Triglycerides, Metabolic Syndrome
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