Cited by 312Diabetes, Cardiovascular Risks, and LipoproteinsDiet, Metabolism, and DiseaseAdipokines, Inflammation, and Metabolic Diseases

Relationship to insulin resistance of the adult treatment panel III diagnostic criteria for identification of the metabolic syndrome.

Open access
Cheal, Karen L., Abbasi, Fahim, Lamendola, Cindy, McLaughlin, Tracey, Reaven, Gerald M., Ford, Earl S.·2004·Diabetes

Abstract

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.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/diabetes.53.5.1195

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Although insulin resistance is associated with high triglycerides, VLDL and triglyceride concentrations can be similar in patients with widely divergent insulin sensitivity.

    “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]

    The Results report an association between hypertriglyceridemia and insulin resistance. The Discussion says triglyceride concentration accounts for no more than 40% of the variation in the insulin-resistance measure, supporting the point that triglycerides can be similar despite differing insulin sensitivity. The cited passages do not establish the corresponding claim about VLDL; page numbers are not available in our copy. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

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
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
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 › Epidemiology › 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

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