The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Homeostasis Model Assessment Is a Reliable Indicator of Insulin Resistance During Follow-up of Patients With Type 2 Diabetes
Abstract
OBJECTIVE— To investigate the usefulness of the homeostasis model assessment as an index of insulin resistance (HOMA-IR) for evaluating the clinical course of patients with type 2 diabetes. RESEARCH DESIGN AND METHODS— The usefulness of HOMA-IR and its relationship with insulin resistance assessed by the hyperinsulinemic-euglycemic clamp study (clamp IR) were evaluated in 55 Japanese patients with type 2 diabetes before and after treatment. The patients were subjected to diet (∼1,440-1,720 kcal/day) and exercise therapy (walking 10,000 steps daily) for 6 weeks during their hospitalization. RESULTS— Univariate regression analysis disclosed a significant correlation between log-transformed HOMA-IR and log-transformed clamp IR before (r = -0.613, P < 0.0001) and after(r = -0.734, P < 0.0001) treatment. Neither the slopes(-0.71 ± 0.12 vs. -0.79 ± 0.09, F = 0.25, P =0.61) nor the intercepts (y-intercept = 1.67 vs. 1.70, x-intercept = 2.36 vs. 2.15, F = 0.02, P = 0.88) of the regression lines between HOMA-IR and clamp IR were significantly different before and after treatment. There was a significant correlation between the decrease in log-transformed HOMA-IR and the increase in clamp IR during treatment (r = -0.617, P < 0.0001). CONCLUSIONS— HOMA-IR may constitute a useful method not only for diagnosing insulin resistance, but also for follow-up during the treatment of patients with type 2 diabetes.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Report 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 10,338
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
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220
Bonora, E., Targher, G., Alberiche, M., Bonadonna, R. C., Saggiani, F., Zenere, M. B., Monauni, T., & Muggeo, M. (2000) · Diabetes Care · doi:10.2337/diacare.23.1.57 · Cited by 2,456
Correct Homeostasis Model Assessment (HOMA) Evaluation Uses the Computer Program
Levy, J. C., Matthews, D. R., & Hermans, M. P. (1998) · Diabetes Care · doi:10.2337/diacare.21.12.2191 · Cited by 2,013
How good a marker is insulin level for insulin resistance?
Laakso, M. (1993) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116768 · Cited by 726
How to measure insulin sensitivity
Ferrannini, E., & Mari, A. (1998) · Journal of Hypertension · doi:10.1097/00004872-199816070-00001 · Cited by 512
A novel technique for the determination of body fat by computed tomography.
Tokunaga, K., Matsuzawa, Y., Ishikawa, K., & Tarui, S. (1983) · PubMed · Cited by 511
Hanson, R. L., Pratley, R. E., Bogardus, C., Narayan, K. M. V., Roumain, J. M. L., Imperatore, G., Fagot-Campagna, A., Pettitt, D. J., Bennett, P. H., & Knowler, W. C. (2000) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010187 · Cited by 463
Cited by
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114
The anti-inflammatory effects of exercise training in patients with type 2 diabetes mellitus
Kadoglou, N. P. E., Iliadis, F., Angelopoulou, N., Perrea, D., Ampatzidis, G., Liapis, C. D., & Alevizos, M. (2007) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e3282efaf50 · Cited by 337
The evolution of β‐cell dysfunction and insulin resistance in type 2 diabetes
Bergman, R. N., Finegood, D. T., & Kahn, S. E. (2002) · European Journal of Clinical Investigation · doi:10.1046/j.1365-2362.32.s3.5.x · Cited by 301
Evaluation of insulin sensitivity in clinical practice and in research settings
Monzillo, L. U., & Hamdy, O. (2003) · Nutrition Reviews · doi:10.1301/nr.2003.dec.397-412 · Cited by 259
Validation of HOMA-IR in a model of insulin-resistance induced by a high-fat diet in Wistar rats
Antunes, L. C., Elkfury, J. L., Jornada, M. N., Foletto, K. C., & Bertoluci, M. C. (2016) · Archives of Endocrinology and Metabolism · doi:10.1590/2359-3997000000169 · Cited by 247
Metadata
- Authors
- Katsuki, A., Sumida, Y., Gabazza, E. C., Murashima, S., Furuta, M., Araki-Sasaki, R., Hori, Y., Yano, Y., & Adachi, Y.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2001-02-01
- Volume
- 24
- Issue
- 2
- Pages
- 362-365
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2142470321
- Cited by
- 431
- References
- 29
- FWCI
- 8.09
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Homeostasis Model Assessment Is a Reliable Indicator of Insulin Resistance During Follow-up of Patients With Type 2 Diabetes. https://app.cochat.ai/papers/10.2337/diacare.24.2.362
- The paper
- Katsuki, A., Sumida, Y., Gabazza, E. C., Murashima, S., Furuta, M., Araki-Sasaki, R., Hori, Y., Yano, Y., & Adachi, Y. (2001). Homeostasis Model Assessment Is a Reliable Indicator of Insulin Resistance During Follow-up of Patients With Type 2 Diabetes. Diabetes Care. https://doi.org/10.2337/diacare.24.2.362
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.