The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Identification of Individuals With Insulin Resistance Using Routine Clinical Measurements
Open accessAbstract
Insulin resistance is a treatable precursor of diabetes and potentially of cardiovascular disease as well. To identify insulin-resistant patients, we developed decision rules from measurements of obesity, fasting glucose, insulin, lipids, and blood pressure and family history in 2,321 (2,138 nondiabetic) individuals studied with the euglycemic insulin clamp technique at 17 European sites; San Antonio, Texas; and the Pima Indian reservation. The distribution of whole-body glucose disposal appeared to be bimodal, with an optimal insulin resistance cutoff of <28 μmol/min · kg lean body mass. Using recursive partitioning, we developed three types of classification tree models: the first, based on clinical measurements and all available laboratory determinations, had an area under the receiver operator characteristic curve (aROC) of 90.0% and generated a simple decision rule: diagnose insulin resistance if any of the following conditions are met: BMI >28.9 kg/m2, homeostasis model assessment of insulin resistance (HOMA-IR) >4.65, or BMI >27.5 kg/m2 and HOMA-IR >3.60. The fasting serum insulin concentrations corresponding to these HOMA-IR cut points were 20.7 and 16.3 μU/ml, respectively. This rule had a sensitivity and specificity of 84.9 and 78.7%, respectively. The second model, which included clinical measurements but no laboratory determinations, had an aROC of 85.0% and generated a decision rule that had a sensitivity and specificity of 78.7 and 79.6%, respectively. The third model, which included clinical measurements and lipid measurements but not insulin (and thus excluded HOMA-IR as well), had a similar aROC (85.1%), sensitivity (81.3%), and specificity (76.3%). Thus, insulin-resistant individuals can be identified using simple decision rules that can be tailored to specific needs.
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Because the study was designed to recruit a sample at risk for diabetes, adolescents were highly insulin resistant, on average, as indicated by a mean HOMA-IR value exceeding 5 (Stern et al., 2005).”
From Relationship of Mindfulness to Distress and Cortisol Response in Adolescent Girls At-Risk for Type 2 Diabetes. (2018) · cites this paper as Stern et al., 2005
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
Modern Applied Statistics with S
Venables, W. N., & Ripley, B. D. (2002) · Statisctics and computing/Statistics and computing · doi:10.1007/978-0-387-21706-2 · Cited by 25,941
Classification and Regression Trees.
Gordon, A. D., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1984) · Biometrics · doi:10.2307/2530946 · Cited by 23,867
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 21,030
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
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
Self-citationDeFronzo, R. A., & Ferrannini, E. (1991) · Diabetes Care · doi:10.2337/diacare.14.3.173 · Cited by 4,555
Self-citationBanting lecture 1988. Role of insulin resistance in human disease.
Reaven, G. (1988) · Diabetes · doi:10.2337/diabetes.37.12.1595 · Cited by 3,801
Chambers, J. M., Hastie, T. J., & Pregibon, D. (1990) · Physica-Verlag eBooks · doi:10.1007/978-3-642-50096-1_48 · Cited by 1,784
McKeigue, P. M., Shah, B., & Marmot, M. G. (1991) · The Lancet · doi:10.1016/0140-6736(91)91164-p · Cited by 1,618
Cited by
Sorted by citations
Items 201–300 of 384
Ji, X., Saylor, J. L., & Liu, J. (2019) · Sleep Medicine · doi:10.1016/j.sleep.2019.06.016 · Cited by 12
Low-carbohydrate diet and maternal glucose metabolism in Chinese pregnant women
Chen, Q., Chen, Y., Wu, W., Tang, N., Wang, D., Chen, Y., Jin, J., & Cai, L. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520004092 · Cited by 14
The metabolic syndrome: An exercise in utility or futility?
SADIKOT, S. M., & Misra, A. (2007) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2006.11.001 · Cited by 12
Florath, I., Brandt, S., Weck, M. N., Moss, A., Gottmann, P., Rothenbacher, D., Wabitsch, M., & Brenner, H. (2014) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2014.04.005 · Cited by 12
Patarrão, R. S., Lautt, W. W., Afonso, R. A., Ribeiro, R. T., Fernandes, A. B., Boavida, J. M., & Macedo, M. P. (2012) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/y2012-086 · Cited by 11
Khokhar, A., Naraparaju, G. K., Friedman, M., Perez-Colon, S., Umpaichitra, V., & Chin, V. L. (2017) · Clinical Diabetes · doi:10.2337/cd16-0037 · Cited by 11
Therapy to Obese Type 2 Diabetes Mellitus: How Far Will We Go Down the Wrong Road?
Heng, X.-P., Li, X., Li, L., Yang, L., Wang, Z.-T., & Huang, S.-P. (2018) · Chinese Journal of Integrative Medicine · doi:10.1007/s11655-018-3053-8 · Cited by 11
Regional cerebral blood flow at rest in obesity
Silvah, J. H., Marchini, J. S., de Lima, C. M. M., Nicoletti, C. F., Alexandre-Santos, L., Itikawa, E. N., Trevisan, A. C., Pitella, F. A., Kato, M., Iucif, N., et al. (2020) · Nutrition · doi:10.1016/j.nut.2020.110888 · Cited by 11
Smeraglio, A., Kennedy, E. K., Horgan, A., Purnell, J. Q., & Gillingham, M. B. (2013) · Nutrition Research · doi:10.1016/j.nutres.2013.03.007 · Cited by 11
Briat, A., Slimani, L., Perret, P., Villemain, D., Halimi, S., Jacques Demongeot, A., Fagret, D., & Ghezzi, C. (2007) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-007-0453-y · Cited by 11
Hwu, C., Hsiung, C. A., Wu, K., Lee, W.-J., Shih, K., Grove, J., Chen, Y. I., Rodríguez, B. L., Curb, J. D., & The SAPPHIRe Study Group (2008) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2008.01818.x · Cited by 11
Skoranski, A., Kelly, N. R., Radin, R. M., Thompson, K. A., Galescu, O., Demidowich, A. P., Brady, S. M., Chen, K. Y., Tanofsky-Kraff, M., Yanovski, J. A., et al. (2018) · Journal of Child and Family Studies · doi:10.1007/s10826-018-1065-9 · Cited by 10
“Because the study was designed to recruit a sample at risk for diabetes, adolescents were highly insulin resistant, on average, as indicated by a mean HOMA-IR value exceeding 5 (Stern et al., 2005).”
BackgroundDomingues-Hajj, P. M. D. S., Gomes, P. M., Magalhães, P., & Maciel, L. M. Z. (2024) · Thyroid · doi:10.1089/thy.2024.0132 · Cited by 8
Halama, A., Suleiman, N., Kuliński, M., Bettahi, I., Hassoun, S., Alkasem, M., Abdalhakam, I., Iskandarani, A., Samra, T. A., Atkin, S. L., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-73723-8 · Cited by 10
Plasma Campesterol Is Positively Associated with Carotid Plaques in Asymptomatic Subjects
Nunes, V. S., de Campos, E. V. S., Baracat, J., França, V., Gomes, É. I. L., Coelho, R. P., Nakandakare, E. R., Zago, V. H. D. S., de Faria, E. C., & Quintão, E. C. R. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms231911997 · Cited by 10
Gonçalinho, G. H. F., Sampaio, G. R., Freitas, R. A. M. S., & Damasceno, N. R. T. (2023) · Arquivos Brasileiros de Cardiologia · doi:10.36660/abc.20220598 · Cited by 10
Ionescu-Tirgoviste, C., Ioacără, S., Guja, C., Sabău, S. V., Lichiardopol, R., Mihai, A. D., & Apetrei, E. (2006) · Archives of Physiology and Biochemistry · doi:10.1080/13813450600976374 · Cited by 10
Clustering and determinants of cardiometabolic risk factors among Filipino young adults.
Zubair, N., Kuzawa, C. W., Lee, N. R., McDade, T. W., & Adair, L. S. (2014) · PubMed · doi:10.6133/apjcn.2014.23.1.06 · Cited by 10
Sainani, G. S., & Karatela, R. A. (2009) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2008.0097 · Cited by 10
Lee, M. W., & Fujioka, K. (2010) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2010.01328.x · Cited by 10
Riccio, A., Fortin, E., Mellbin, L., Norhammar, A., Näsman, P., Rydén, L., Sesti, G., & Ferrannini, G. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-023-02093-y · Cited by 13
What are the real associations of homeostasis model assessment (HOMA) with body mass index and age?
Horáková, D., Štěpánek, L., Štěpánek, L., Pastucha, D., Janoutová, J., Janout, V., Kron, V., Verner, M., & Martiník, D. (2022) · Endokrynologia Polska · doi:10.5603/ep.a2022.0031 · Cited by 9
Ministrini, S., Fattori, C., Ricci, M. A., Bianconi, V., Paltriccia, R., Boni, M., Paganelli, M. T., Vaudo, G., Lupattelli, G., & Pasqualini, L. (2018) · Obesity Surgery · doi:10.1007/s11695-018-3290-0 · Cited by 9
dos Santos, E. A., Giudici, K. V., de França, N. A. G., Peters, B. S. E., Fisberg, R. M., & Martini, L. A. (2020) · Archives of Endocrinology and Metabolism · doi:10.20945/2359-3997000000230 · Cited by 9
Diaz-Rubio, G. I., Corona-Meraz, F.-I., Madrigal-Ruíz, P.-M., Anda, J.-A. R.-D., Gómez-Bañuelos, E., Castro-Albarrán, J., Flores-Alvarado, L. J., Mercado, M. V.-D., Pérez-Vázquez, F., Pizano-Martínez, Ó., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246054 · Cited by 9
Donatelli, F., Nafi, M., Nicola, M. D., Macchitelli, V., Mirabile, C., Lorini, L., & Carli, F. (2015) · Acta Anaesthesiologica Scandinavica · doi:10.1111/aas.12526 · Cited by 6
Hettihewa, L. M., & Weerarathna, T. P. (2011) · Journal of Pharmacology and Pharmacotherapeutics · doi:10.4103/0976-500x.83280 · Cited by 12
Cao, L., Graham, S. L., & Pilowsky, P. M. (2016) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00486.2015 · Cited by 9
Metabolic syndrome: what's in a name?
Wubben, D. P., & Adams, A. (2006) · PubMed · Cited by 9
Aldrighi, J. M., Tsutsui, J. M., Kowastch, I., Ribeiro, A. L., Scapinelli, A., Tamanaha, S., de Oliveira, R. M., & Mathias, W. (2014) · Echocardiography · doi:10.1111/echo.12849 · Cited by 9
Rahminiwati, M., Iswantini, D., Trivadila, T., Sianipar, R. N. R., Sukma, R. M., Indariani, S., & Murni, A. (2025) · Current Issues in Molecular Biology · doi:10.3390/cimb47010039 · Cited by 8
The role of androgens in transgender medicine
Dimakopoulou, A., Millar, O., Moschonas, D., & Jayasena, C. N. (2022) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2022.101617 · Cited by 8
Elochukwu, A., Opara, U., Chinyere, N., Jeremiah, O., & Chukwuma, O. (2017) · Tropical Journal of Medical Research · doi:10.4103/1119-0388.198120 · Cited by 8
van Helden, J., Evliyaoğlu, O., Küberl, A., & Weiskirchen, R. (2020) · Clinical Endocrinology · doi:10.1111/cen.14181 · Cited by 8
Ahmad, J., Shukla, N., Khan, A. R., Ahmed, F., & Siddiqui, M. A. (2008) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2007.12.003 · Cited by 8
Wang, G., Liu, Y., Wang, A., Tong, W., & Zhang, Y. (2010) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.1108 · Cited by 8
Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis
(2020) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2020.02.005 · Cited by 8
Peripheral Insulin Resistance Is Associated with Copeptin in Patients with Chronic Kidney Disease
Arroyo, J. P., Akwo, E. A., Terker, A. S., Alsouqi, A., Bhave, G. B., Harris, R. C., Hung, A. M., & Ikizler, T. A. (2021) · Kidney360 · doi:10.34067/kid.0002622021 · Cited by 8
Individuation of different metabolic phenotypes in normal glucose tolerance test
Schianca, G. P. C., Colli, E., Onolfo, S., Pedrazzoli, R., Fra, G. P., & Bartoli, E. (2009) · Acta Diabetologica · doi:10.1007/s00592-009-0165-9 · Cited by 8
Carretero, R. G., Gómez, O. V., Gil-Prieto, R., & de Miguel, Á. G. (2023) · Wiener klinische Wochenschrift · doi:10.1007/s00508-023-02278-1 · Cited by 8
Whole body insulin sensitivity is increased in systemic sclerosis
Ciaffi, J., Ruscitti, P., Cola, I. D., Pavlych, V., Italiano, N., Gentile, M., Huizinga, T. W. J., Vries-Bouwstra, J. K. D., Ursini, F., & Cipriani, P. (2023) · PLoS ONE · doi:10.1371/journal.pone.0283283 · Cited by 7
Liu, J., Jin, X., Feng, Z., & Huang, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-57020-2 · Cited by 7
Helaly, M. A.-H., Elsaid, A. M. M., Hatata, E.-S. Z., Fouda, O., & Settin, A. (2012) · Electronic Journal of General Medicine · doi:10.29333/ejgm/82455 · Cited by 7
Mazor, R., Babkin, A., Littrup, P. J., Alloush, M., Sturek, M. S., Byrd, J. P., Hernandez, E., Bays, H. E., Grunvald, E. L., & Mattar, S. G. (2022) · Surgery for Obesity and Related Diseases · doi:10.1016/j.soard.2022.10.023 · Cited by 7
Benozzi, S. F., Ordoñez, F., Polini, N. N., Alvarez, C., Sellés, J., & Coniglio, R. I. (2009) · PubMed · Cited by 7
Wong, J., Molyneaux, L. M., Zhao, D., Constantino, M., Gray, R. S., Twigg, S. M., Xu, Z. R., & Yue, D. K. (2008) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2007.04.003 · Cited by 7
Osteoprotegerin Levels in Women With Prior Gestational Diabetes Mellitus
Madarász, E., Tamás, G., Tabák, Á. G., Speer, G., Lakatos, P. L., & Kerényi, Z. (2008) · Diabetes Care · doi:10.2337/dc08-1628 · Cited by 7
Fridline, B. M. M. (2015) · Journal of Metabolic Syndrome · doi:10.4172/2167-0943.1000173 · Cited by 7
Wong, J., Nock, N. L., Xu, Z., Kyle, C., Daniels, A., White, M., Yue, D. K., Elston, R. C., & Mountjoy, K. G. (2008) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2007.11.002 · Cited by 7
Dunn, S. L. (2009) · UNSWorks (UNSW Sydney) · doi:10.26190/unsworks/22256 · Cited by 7
Testosterone and abnormal glucose metabolism in an inner-city cohort
Monroe, A. K., Dobs, A. S., Cofrancesco, J., & Brown, T. T. (2012) · Journal of Men s Health · doi:10.1016/j.jomh.2012.03.010 · Cited by 6
Effects of vitamin D supplementation on cardiovascular risk factors in shift workers
Fajardo, V. C., de Oliveira, F. L. P., Machado-Coelho, G. L. L., Pimenta, F. A. P., de Freitas, S. N., Ribeiro, A. L. P., Soares, M. M. S., Lauria, M. W., Farias, R. D. C., França, I. B., et al. (2019) · Medicine · doi:10.1097/md.0000000000015417 · Cited by 6
Predicting Skeletal Muscle and Whole-Body Insulin Sensitivity Using NMR-Metabolomic Profiling
Klén, R., Honka, M., Hannukainen, J. C., Huovinen, V., Bucci, M., Latva‐Rasku, A., Venäläinen, M. S., Kalliokoski, K. K., Virtanen, K. A., Läutamaki, R., et al. (2020) · Journal of the Endocrine Society · doi:10.1210/jendso/bvaa026 · Cited by 6
Braga, A. A., Bortolin, R. H., Saldarriaga, M. E. G., Hirata, T. D. C., Cerda, Á., de Freitas, R. C. C., Lin‐Wang, H. T., Borges, J. B., França, J. Í. D., Masi, L. N., et al. (2021) · Epigenomics · doi:10.2217/epi-2020-0247 · Cited by 6
Myeloperoxidases and polycystic ovary syndrome
Ribeiro, A. L., Scapinelli, A., Tamanaha, S., de Oliveira, R. M., Kowastch, I., Mathias, W., Aoki, T., & Aldrighi, J. M. (2011) · Gynecological Endocrinology · doi:10.3109/09513590.2011.579656 · Cited by 6
Færch, K., & Vistisen, D. (2012) · Diabetes Care · doi:10.2337/dc12-1304 · Cited by 6
Kim, I., Lee, K., Sung, J., Ahn, Y. J., Im, M., Han, K., & Cho, S. Y. (2025) · Annals of Pediatric Endocrinology & Metabolism · doi:10.6065/apem.2448180.090 · Cited by 8
Kien, C. L., Matthews, D. E., Poynter, M. E., Bunn, J. Y., Fukagawa, N. K., Crain, K. I., Ebenstein, D. B., Tarleton, E. K., Stevens, R. D., Koves, T. R., et al. (2015) · Journal of Lipid Research · doi:10.1194/jlr.m060137 · Cited by 5
Zhang, L., Muscat, J. E., Chinchilli, V. M., Kris‐Etherton, P. M., Al‐Shaar, L., & Richie, J. P. (2024) · Nutrients · doi:10.3390/nu16030403 · Cited by 6
Kamal, V. K., Srivastav, S., Kumari, D., & Ranjan, M. (2020) · Journal of Global Health Reports · doi:10.29392/001c.13169 · Cited by 5
Postoperative insulin secretion is decreased in patients with preoperative insulin resistance
Donatelli, F., Nafi, M., Pietropaoli, L., Nicola, M. D., Piva, I. R., Gillis, C., Selladurai, S., Fumagalli, R., Marinangeli, F., & Carli, F. (2018) · Acta Anaesthesiologica Scandinavica · doi:10.1111/aas.13248 · Cited by 5
Reimann, M., Vilser, W., Grüber, M., Bornstein, S. R., & Ziemssen, T. (2015) · Diabetologia · doi:10.1007/s00125-015-3639-z · Cited by 5
González, L., García, S. S., Fernández, V. L., Cosmea, A. Á., García, M. T. A., & Menéndez, F. Á. (2007) · Revista Clínica Española · doi:10.1157/13106848 · Cited by 5
Matsumoto, N., Arase, Y., Kawamura, Y., Ohmoto-Sekine, M., Amakawa, K., Ogawa, K., Tsuji, H., Dong, H. S., Hara, S., Akuta, N., et al. (2015) · Internal Medicine · doi:10.2169/internalmedicine.54.3437 · Cited by 5
Norde, M. M., Oki, É., Carioca, A. A. F., Castro, I. A., de Souza, J. M. P., Marchioni, D. M. L., Fisberg, R. M., & Rogero, M. M. (2016) · Nutrition · doi:10.1016/j.nut.2016.11.004 · Cited by 5
Belfort-DeAguiar, R., Yeckel, C., Elshafie, A., Comarella, A. P., & Hwang, J. J. (2025) · Diabetes Care · doi:10.2337/dc25-1395 · Cited by 5
Soliman, S. B., Chugh, O. K., Leuteneker, J. E., Tuska, B., Ye, W., Zhang, T., Rode, T., Howton, S. M., Buras, E. D., & Horowitz, J. F. (2025) · Journal of Ultrasound in Medicine · doi:10.1002/jum.16741 · Cited by 4
Discriminating insulin resistance in middle-aged nondiabetic women using machine learning approaches
Xing, Z., Chen, H., & Alman, A. C. (2024) · AIMS Public Health · doi:10.3934/publichealth.2024034 · Cited by 4
Guo, R., Tong, J., Wang, R., Ma, S., Wei, L., & Zhao, W. (2024) · International Journal of Diabetes in Developing Countries · doi:10.1007/s13410-024-01369-7 · Cited by 4
de la Maza, M. P., Hirsch, S., Jara, N., Leiva, L., Barrera, G., Silva, C., Pañella, L., Henríquez, S., & Bunout, D. C. (2014) · PubMed · doi:10.3305/nh.2015.31.3.7979 · Cited by 4
Nițescu, M. (2016) · Acta Endocrinologica (Bucharest) · doi:10.4183/aeb.2016.493 · Cited by 4
Methods for Quantifying Insulin Sensitivity and Determining Insulin Time-Action Profiles
Krentz, A. J., Heinemann, L., & Hompesch, M. (2014) · Springer eBooks · doi:10.1007/978-1-4471-4920-0_1 · Cited by 5
Handelsman, R. G., Wertheimer, S., VanHise, K., Buttle, R. A., Clark, E. L., Wang, E. T., Azziz, R., Pisarska, M. D., & Chan, J. L. (2022) · F&S Reports · doi:10.1016/j.xfre.2022.09.004 · Cited by 4
Fosam, A. E., Bansal, R., Ramanathan, A. L., Sarcone, C., Iyer, I., Murthy, M., Remaley, A. T., & Muniyappa, R. (2022) · Journal of the Endocrine Society · doi:10.1210/jendso/bvac189 · Cited by 4
Pantelis, A. G. (2023) · Metabolism and Target Organ Damage · doi:10.20517/mtod.2023.55 · Cited by 4
Vitamin D deficiency and airflow limitation in the Baltimore Longitudinal Study of Ageing
Moberg, M., Elango, P., Ferrucci, L., Spruit, M. A., Wouters, E. F. �., & Rutten, E. P. A. (2015) · European Journal of Clinical Investigation · doi:10.1111/eci.12498 · Cited by 4
Chia, L. (2007) · D-Scholarship@Pitt (University of Pittsburgh) · Cited by 4
Chavarría-Ávila, E., Ruíz-Quezada, S. L., Guzmán-Ornelas, M.-O., Castro-Albarrán, J., Aguilar-Aldrete, M. E., Mercado, M. V.-D., & Navarro-Hernández, R. E. (2013) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.3305/nh.2013.28.6.6912 · Cited by 4
Maldonado‐Hernández, J., Martínez-Basila, A., Matute-González, M. G., & López‐Alarcón, M. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0263 · Cited by 4
Bimenya, G. S., Byarugaba, W., Kalungi, S., Mayito, J., Mugabe, K. T.-M., Makabayi, R., Ayebare, E. O., Wanzira, H., & Muhame, R. M. (2006) · PubMed Central · doi:10.5555/afhs.2006.6.4.247 · Cited by 4
The Metabolic Syndrome: Time for a Critical Appraisal
Kahn, R., Buse, J. B., Ferrannini, E., & Stern, M. P. (2006) · Arterial’naya Gipertenziya (Arterial Hypertension) · doi:10.18705/1607-419x-2006-12-2-99-116 · Cited by 5
Self-citationZhuo, Y., He, J., Liangbing, W., Chow, C. B., & Ho, F. K. W. (2023) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2023.11.016 · Cited by 3
Emir, S. N., & Emir, S. (2024) · Turkish Journal of Diabetes and Obesity · doi:10.25048/tudod.1461623 · Cited by 3
Alvarado, M. M. R., & Roitz, C. S. (2014) · PubMed · Cited by 3
Rogowicz‐Frontczak, A., Piłaciński, S., Chwialkowska, A. T., Naskręt, D., & Zozulińska‐Ziółkiewicz, D. (2018) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/00365513.2018.1455221 · Cited by 3
Quantification of Insulin Action in Human Subjects
Krentz, A. J., Weyer, C., & Hompesch, M. (2019) · Springer eBooks · doi:10.1007/978-3-030-11748-1_1 · Cited by 3
O perfil lipídico e a síndrome metabólica
Lerário, A. C., Betti, R., & WAJCHENBERG, B. L. (2009) · Revista da Associação Médica Brasileira · doi:10.1590/s0104-42302009000300002 · Cited by 3
Dasgupta, R., Shajith Anoop, S., Venkatesan, P., Inbakumari, M., Geethanjali, F. S., & Thomas, N. (2018) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2018.11.067 · Cited by 3
Ghosh, S., Rana, A., & Kansal, V. (2018) · International Conference on Contemporary Computing and Informatics (IC3I) · doi:10.1109/ic3i44769.2018.9007253 · Cited by 3
Novel Laboratory Index, Based on Fasting Blood Parameters, Accurately Reflects Insulin Sensitivity
Karczewska‐Kupczewska, M., Nikołajuk, A., Stefanowicz, M., Matulewicz, N., Arnoriaga‐Rodríguez, M., Fernández‐Real, J. M., & Strączkowski, M. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab489 · Cited by 3
Ernährungsmedizinische Untersuchungen
Müller, M. J., Westenhöfer, J., Bosy‐Westphal, A., Löser, C., & Selberg, O. (2007) · Springer eBooks · doi:10.1007/978-3-540-38231-7_1 · Cited by 3
Critical Evaluation of Models to Identify Individuals With Insulin Resistance
Rathmann, W., Haastert, B., Giani, G., Holle, R., Köenig, W., Herder, C., & Löwel, H. (2005) · Diabetes Care · doi:10.2337/diacare.28.7.1833 · Cited by 3
Soliman, S. B., Leuteneker, J. E., Chugh, O. K., Zhang, T., Tuska, B., Rode, T., Sanchez, M. J., Buras, E. D., & Horowitz, J. F. (2025) · Journal of Ultrasound in Medicine · doi:10.1002/jum.70126 · Cited by 2
Naruse, R., Inukai, Y., Terasawa, T., Hara, K., Takebayashi, K., Morita, M., Aso, Y., & Inukai, T. (2011) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2011.03.006 · Cited by 2
IN DEBATE: THE PRIMARY CAUSE OF TYPE 1 DIABETES
Ionescu-Tirgoviste, C., Guja, C., Gagniuc, P. A., Davila, C., & Paulescu, N. (2014) · Cited by 2
Refaie, W., & Elewa, A. M. (2013) · The Egyptian Heart Journal · doi:10.1016/j.ehj.2013.02.004 · Cited by 2
Vigil, L., Goday, A., Gabriel, R., Ascaso, J. F., Franch‐Nadal, J., & Ortega, R. (2011) · International Journal of Clinical Medicine · doi:10.4236/ijcm.2011.24063 · Cited by 2
Sadat, R. S., Azadbakht, L., Saneei, P., Hkazaei, M., & Esmaeilzadeh, A. (2012) · Journal of Advances in Medical and Biomedical Research · Cited by 2
Xu, J., Viscoli, C. M., Ford, G. A., Gorman, M., & Kernan, W. N. (2016) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2016.03.043 · Cited by 2
Características antropométricas e metabólicas em obesos com transtorno alimentar
Silva, H. G. V. D., Magalhães, V. C., Oliveira, B. A., Rosa, J. S., Santos, T. T., & Moreira, A. B. (2015) · Revista Hospital Universitário Pedro Ernesto · doi:10.12957/rhupe.2015.19345 · Cited by 2
Metadata
- Authors
- Stern, S. E., Williams, K., Ferrannini, E., DeFronzo, R. A., Bogardus, C., & Stern, M. P.
- Affiliations
- Australian National University (AU)
- The University of Texas at San Antonio Health Science Center (US)
- Istituto di Fisiologia Clinica (IT)
- National Institutes of Health (US)
- Division of Clinical Epidemiology, Department of Medicine, University of Texas Health Science Center at San Antonio, San Antonio, Texas
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2005-02-01
- Volume
- 54
- Issue
- 2
- Pages
- 333-339
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2151716502
- Semantic Scholar
- 4e8c3e8e3b4db413e21a0acf7ac1a349884ba391
- Cited by
- 384
- References
- 30
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 19 · 2023: 7 · 2022: 19 · 2021: 10 · 2020: 18 · 2019: 14 · 2018: 27 · 2017: 19 · 2016: 21 · 2015: 29 · 2014: 21 · 2013: 19 · 2012: 22
- FWCI
- 13.45
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Funders
- American Diabetes Association
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
- Keywords
- insulin resistance, diabetes prevention, cardiovascular risk, HOMA-IR, decision rules, classification trees, obesity, body mass index, fasting insulin, glucose disposal, hyperinsulinemic-euglycemic clamp, sensitivity and specificity, Pima Indians
- MeSH terms
- Blood Glucose, Homeostasis, Humans, Hyperinsulinism, Insulin, Insulin Resistance, Glucose Clamp Technique
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
