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Cited by 259Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and ResearchPancreatic function and diabetes

Evaluation of insulin sensitivity in clinical practice and in research settings

Monzillo, Lais U., Hamdy, Osama·2003·Nutrition Reviews
DOI 10.1301/nr.2003.dec.397-412
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Abstract

Insulin resistance is the core metabolic abnormality in type 2 diabetes. Its high prevalence and its association with dyslipidemia, hypertension, hyperinsulinemia, and high coronary and cerebrovascular mortality put it in the forefront as the plausible target for aggressive intervention. Measurements of insulin sensitivity provide clinicians and clinical researchers with invaluable instruments to objectively evaluate the efficiency of both current and potentially useful interventional tools. Although several methods had been developed and validated to evaluate insulin sensitivity, none of these methods can be universally used in all patients. Nonetheless, a method suitable for use in clinical or basic research may not necessarily be a practical method for use in clinical practice or for epidemiologic research. We reviewed the currently used methods for assessment of insulin sensitivity. For each method, we summarized its procedure, normal value, cut-off value for defining insulin resistance, advantages and limitations, validity, accuracy for each patient population, and suitability for use in clinical practice and in research settings. The methods reviewed include fasting plasma insulin, homeostatic model assessment, quantitative insulin sensitivity check index, glucose-to-insulin ratio, continuous infusion of glucose with model assessment, indices based on oral glucose tolerance test, insulin tolerance test, and the so called "gold standard" methods, the hyperinsulinemic euglycemic clamp and the frequently sampled-intravenous glucose tolerance test.

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Crossref · 10.1301/nr.2003.dec.397-412

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  • Indirect estimates of insulin resistance, such as HOMA-IR and QUICKI, are derived from fasting S-insulin and glucose concentrations and have been widely used in both nondiabetic and type 2 diabetic subjects as surrogates of insulin sensitivity.

    “ndirect estimates of insulin resistance, such as HOMA-IR 63 and QUICKI, 64 are derived from fasting S-insulin and glucose concentrations and have been widely used in both nondiabetic and type 2 diabetic subjects as surrogates of insulin sensitivity.65,66”

    From Increased liver fat, impaired insulin clearance, and hepatic and adipose tissue insulin resistance in type 2 diabetes. (2008) · cites this paper as [65]

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Authors
Monzillo, L. U., & Hamdy, O.
Affiliations
Joslin Diabetes Center (US)
ORCID
Hamdy, Osama
Venue
Nutrition Reviews
Publisher
Oxford University Press (OUP)
Published
2003-12-01
Volume
61
Issue
12
Pages
397-412
ISSN
  • 0029-6643 (ISSN-L)
  • 1753-4887
DOI
10.1301/nr.2003.dec.397-412
OpenAlex
W1967727920
Cited by
259
References
112
Citations by year
2026: 1 · 2025: 6 · 2024: 13 · 2023: 5 · 2022: 11 · 2021: 9 · 2020: 11 · 2019: 4 · 2018: 12 · 2017: 10 · 2016: 11 · 2015: 6 · 2014: 22 · 2013: 18 · 2012: 10
FWCI
1.65
Type
journal article
Language
en
Open access
closed
Locations
  • Nutrition Reviews (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
Keywords
insulin sensitivity, insulin resistance, type 2 diabetes, HOMA, QUICKI, glucose-to-insulin ratio, hyperinsulinemic-euglycemic clamp, frequently sampled intravenous glucose tolerance test, insulin tolerance test, oral glucose tolerance test, fasting insulin, method validation, research versus clinical practice
MeSH terms
Blood Glucose, Diabetes Mellitus, Diabetes Mellitus, Type 2, Evaluation Studies as Topic, Glucose Tolerance Test, Humans, Hyperlipidemias, Hypertension, Insulin, Insulin Resistance, Obesity, United States, Metabolic Syndrome, Risk Reduction Behavior

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