Multi-year reproducibility of hyperinsulinemic euglycemic clamp-derived insulin sensitivity in free-living adults: association with incident prediabetes in the pop-abc study
Open accessAbstract
Objective The hyperinsulinemic euglycemic clamp (HEC) is the "gold standard" for measuring insulin sensitivity (Si-clamp). Here, we determined the reproducibility of serial HEC data in healthy subjects.Research design and methods The Pathobiology of Prediabetes in A Biracial Cohort study assessed incident prediabetes in healthy African Americans (AA) and European Americans (EA) with parental type 2 diabetes mellitus during 5.5 years of follow-up. Assessments included anthropometry, OGTT, and HEC. Ninety subjects (44 AA, 46 EA) who underwent Year-1HEC consented to Year-3 HEC. We calculated coefficients of variation (CVs), 95% limits of agreement, and repeatability coefficients for Year-1 and Year-3 data, and assessed the association of change in Si-clamp with incident prediabetes.Results The mean (SD) baseline age was 47.5 ± 8.13y, body mass index was 30.4 ± 9.16 kg/m 2, fasting plasma glucose was 93.7 ± 7.82 mg/dL and 2-hrPG was 126 ± 26.8 mg/dL. Si-clamp (umol/kg/min·pmol/L-1) was 0.071 ± 0.04 in Year 1 and 0.067 ± 0.04 in Year 3 (P = 0.22). Year 1 and Year 3 values were strongly correlated (r = 0.81, P < 0.0001); the CV was 13.6% and repeatability coefficient was ±0.025. Intrasubject differences in serial Si-clamp were less than the repeatability coefficients and within the 95% limits of agreement. After 5.5 years of follow-up, 40 subjects progressed to prediabetes and 50 were nonprogressors. The change in Si-clamp was greater in progressors than nonprogressors (-10% vs. -2.5%, P = 0.02).Conclusions The HEC is reproducible over ~2 years in free-living individuals, with a temporal decline in Si-clamp that predicts prediabetes risk.
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
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.
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?
Type 2 diabetes often remains undiagnosed for years because it is frequently asymptomatic.
“T2D remains undiagnosed for years in many affected persons because they are frequently asymptomatic; therefore, screening individuals with multiple risk factors is needed to reduce the risk of long-term complications.38,39”
From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [38]
The Introduction and Results address insulin sensitivity and progression to prediabetes, not how long type 2 diabetes remains undiagnosed. Searches for asymptomatic or undiagnosed diabetes found no passage explaining a years-long diagnostic delay (section labels available; page numbers not provided). (LLM, conf=0.76)
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
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965 · see citing works
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 · see citing works
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154 · see citing works
Measuring agreement in method comparison studies
Bland, J. M., & Altman, D. G. (1999) · Statistical Methods in Medical Research · doi:10.1177/096228029900800204 · Cited by 9,619 · see citing works
Glucose clamp technique: a method for quantifying insulin secretion and resistance.
DeFronzo, R. A., Tobin, J. D., & Andres, R. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.237.3.e214 · Cited by 7,425 · see citing works
Matsuda, M., & DeFronzo, R. A. (1999) · Diabetes Care · doi:10.2337/diacare.22.9.1462 · Cited by 5,621 · see citing works
Follow-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 · see citing works
2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2020</i>
American Diabetes Association (2020) · Diabetes Care · doi:10.2337/dc20-s002 · Cited by 3,187 · see citing works
Weyer, C., Bogardus, C., Mott, D. M., & Pratley, R. E. (1999) · Journal of Clinical Investigation · doi:10.1172/jci7231 · Cited by 1,940 · see citing works
Quantitative estimation of insulin sensitivity.
Bergman, R. N., Ider, Y. Z., Bowden, C. R., & Cobelli, C. (1979) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1979.236.6.e667 · Cited by 1,874 · see citing works
Goodpaster, B. H., Leland Thaete, F., Simoneau, J.-A., & Kelley, D. E. (1997) · Diabetes · doi:10.2337/diacare.46.10.1579 · Cited by 1,012 · see citing works
Rico‐Martín, S., Calderón‐García, J. F., Sánchez‐Rey, P., Franco‐Antonio, C., Martínez Alvarez, M., & Sánchez Muñoz‐Torrero, J. F. (2020) · Obesity Reviews · doi:10.1111/obr.13023 · Cited by 355 · see citing works
Gastaldelli, A., Gaggini, M., & DeFronzo, R. A. (2017) · Diabetes · doi:10.2337/db16-1167 · Cited by 344 · see citing works
Uwaifo, G. I., Fallon, E. M., Chin, J., Elberg, J., Parikh, S. J., & Yanovski, J. A. (2002) · Diabetes Care · doi:10.2337/diacare.25.11.2081 · Cited by 228 · see citing works
Hyperinsulinemic–Euglycemic Clamp to Assess Insulin Sensitivity In Vivo
Kim, J. K. (2009) · Methods in molecular biology · doi:10.1007/978-1-59745-448-3_15 · Cited by 215 · see citing works
Sironi, A. M., Pingitore, A., Ghione, S., Marchi, D. D., Scattini, B., Positano, V., Muscelli, E., Ciociaro, D., Lombardi, M., Ferrannini, E., et al. (2008) · Hypertension · doi:10.1161/hypertensionaha.107.098640 · Cited by 121 · see citing works
Long-Term Predictors of Insulin Resistance
Risérus, U., Ärnlöv, J., & Berglund, L. (2007) · Diabetes Care · doi:10.2337/dc07-0360 · Cited by 95 · see citing works
Owei, I., UMEKWE, N. A., Provo, C., Wan, J. Y., & Dagogo-Jack, S. E. (2017) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2017-000415 · Cited by 80 · see citing works
Self-citationDagogo-Jack, S. E., Edeoga, C., Ebenibo, S., Nyenwe, E. A., & Wan, J. Y. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-1077 · Cited by 67 · see citing works
Self-citationSoop, M., Nygren, J., Brismar, K., Thorell, A., & Ljungqvist, O. H. (2000) · Clinical Science · doi:10.1042/cs0980367 · Cited by 63 · see citing works
The euglycemic hyperinsulinemic clamp examination: variability and reproducibility
L. Bokemark, A. F. (2000) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/00365510050185010 · Cited by 56 · see citing works
Pathobiology of Prediabetes in a Biracial Cohort (POP-ABC): design and methods.
Dagogo-Jack, S. E., Edeoga, C., Nyenwe, E. A., Chapp-Jumbo, E. N., & Wan, J. Y. (2011) · PubMed · Cited by 39 · see citing works
Self-citationDagogo-Jack, S. E., Edeoga, C., Ebenibo, S., & Chapp-Jumbo, E. N. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-2902 · Cited by 36 · see citing works
Self-citationMagkos, F., Fabbrini, E., Korenblat, K., Okunade, A. L., Patterson, B. W., & Klein, S. J. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.265 · Cited by 36 · see citing works
Le, D. S. N. T., Brookshire, T., Krakoff, J. A., & Bunt, J. C. (2009) · Metabolism · doi:10.1016/j.metabol.2008.09.029 · Cited by 30 · see citing works
Insulin resistance: The linchpin between prediabetes and cardiovascular disease
Salazar, M. R., Carbajal, H. A., Espeche, W. G., Aizpurúa, M., Sisnieguez, C. E. L., Sisnieguez, B. C. L., Stavile, R. N., March, C. E., & Reaven, G. M. (2016) · Diabetes and Vascular Disease Research · doi:10.1177/1479164115610057 · Cited by 27 · see citing works
Ebenibo, S., Edeoga, C., AMMONS, A., Egbuonu, N., & Dagogo-Jack, S. E. (2013) · BMC Medical Research Methodology · doi:10.1186/1471-2288-13-64 · Cited by 18 · see citing works
Self-citationOwei, I., Jain, N., Jones, D. W., UMEKWE, N. A., & Dagogo-Jack, S. E. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01569 · Cited by 17 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Blonde, L., Umpierrez, G. E., Reddy, S. S., McGill, J. B., Berga, S. L., Bush, M., Chandrasekaran, S., DeFronzo, R. A., Einhorn, D., Galindo, R. J., et al. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.08.002 · Cited by 507 · see citing works
Measuring and estimating insulin resistance in clinical and research settings
Gastaldelli, A. (2022) · Obesity · doi:10.1002/oby.23503 · Cited by 244 · see citing works
- Authors
- James, D., Umekwe, N., Edeoga, C., Nyenwe, E., & Dagogo-Jack, S.
- Affiliations
- University of Tennessee Health Science Center (US)
- ORCID
- Nyenwe, Ebenezer
- Venue
- Metabolism
- Publisher
- Elsevier BV
- Published
- 2020-08
- Volume
- 109
- Pages
- 154263
- ISSN
- 0026-0495 (ISSN-L)
- PMC
- PMC7387175
- OpenAlex
- W3028231374
- Cited by
- 23
- References
- 28
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 3 · 2023: 2 · 2022: 5 · 2021: 4
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Metabolism (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R01 DK067269-04s1)
- American Diabetes Association (7-07-MN-13)
- 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
- hyperinsulinemic-euglycemic clamp, insulin sensitivity, reproducibility, prediabetes, type 2 diabetes risk, African Americans, European Americans, prediabetes progression
- MeSH terms
- Adult, Anthropometry, Black or African American, Diabetes Mellitus, Type 2, Follow-Up Studies, Glucose Tolerance Test, Humans, Hyperinsulinism, Insulin Resistance, Male, Middle Aged, Prediabetic State, Predictive Value of Tests, Time Factors, Reproducibility of Results, Glucose Clamp Technique, White People, Healthy Volunteers
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