The DOI matches its Crossref record.
Comparison of fasting and 2-hour glucose and HbA1c levels for diagnosing diabetes. Diagnostic criteria and performance revisited
Abstract
OBJECTIVE: Nearly two decades ago, the National Diabetes Data Group (NDDG) and the World Health Organization (WHO) Expert Committee on Diabetes Mellitus published diagnostic criteria for diabetes. We undertook this study to compare the performance of three glycemic measures for diagnosing diabetes and to evaluate the performance of the WHO criteria. RESEARCH DESIGN AND METHODS: In a cross-sectional population-based sample of 1,018 Egyptians ≥ 20 years of age, fasting and 2-h glucose and HbA1c levels were measured, and diabetic retinopathy was assessed by retinal photograph. Evidence for bimodal distributions was examined for each glycemic measure by fitting models for the mixture of two distributions using maximum likelihood estimates. Sensitivity and specificity for cutpoints of each glycemic measure were calculated by defining the true diabetes state (gold standard) as 1) the upper (diabetic) component of the fitted bimodal distribution for each glycemic measure, and 2) the presence of diabetic retinopathy. Receiver operating characteristic (ROC) curves were constructed to determine the performance of the glycemic measures in detecting diabetes as defined by diabetic retinopathy. RESULTS: In the total population, the point of intersection of the lower and upper components that minimized misclassification for the fasting and 2-h glucose and HbA1c were 7.2 mmol/l (129 mg/dl), 11.5 mmol/l (207 mg/dl), and 6.7%, respectively. When diabetic retinopathy was used to define diabetes, ROC curve analyses found that fasting and 2-h glucose values were superior to HbA1c (P < 0.01). The performance of a fasting glucose of 7.8 mmol/l (140 mg/dl) was similar to a 2-h glucose of 12.2–12.8 mmol/l (220–230 mg/dl), and the performance of a 11.1 mmol/l (200 mg/dl) 2-h glucose was similar to a fasting glucose of 6.9–7.2 mmol/l (125–130 mg/dl). CONCLUSIONS: Optimal cutpoints for defining diabetes differ according to how diabetes itself is defined. When diabetes is defined as the upper component of the bimodal population distribution, a fasting glucose level somewhat lower than the current WHO cutpoint and a 2-h glucose level somewhat higher than the current WHO cutpoint minimized misclassification. When diabetic retinopathy defines diabetes, we found that the current fasting diagnostic criterion favors specificity and the current 2-h criterion favors sensitivity. These results should prove valuable for defining the optimal tests and cutpoint values for diagnosing diabetes.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“In 1997, the diagnostic criteria were modified (1) to better identify individuals at risk of retinopathy and nephropathy (17,18).”
From Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus (2011) · cites this paper as [17]
Citations
Cites
Still being checked.
Cited by
Sorted by citations
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 10,325
Danaei, G., Finucane, M. M., Lu, Y., Singh, G. M., Cowan, M. J., Paciorek, C. J., Lin, J. K., Farzadfar, F., Khang, Y.-H., Stevens, G. A., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60679-x · Cited by 3,568
Self-citationReport of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (2003) · Diabetes Care · doi:10.2337/diacare.26.2007.s5 · Cited by 2,689
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Kirkman, M. S., Lernmark, A., Metzger, B. E., & Nathan, D. M. (2011) · Clinical Chemistry · doi:10.1373/clinchem.2010.161596 · Cited by 1,360
Pharmacologic Therapy for Type 2 Diabetes Mellitus
DeFronzo, R. A. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-131-4-199908170-00008 · Cited by 1,173
Definition, Classification and Diagnosis of Diabetes, Prediabetes and Metabolic Syndrome
Punthakee, Z., Goldenberg, R., & Katz, P. (2018) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2017.10.003 · Cited by 1,011
Heine, R. J., Van Gaal, L. F., Johns, D., Mihm, M. J., Widel, M. H., Brodows, R. G., & for the GWAA Study Group* (2005) · Annals of Internal Medicine · doi:10.7326/0003-4819-143-8-200510180-00006 · Cited by 795
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Kirkman, M. S., Lernmark, A., Metzger, B. E., & Nathan, D. M. (2011) · Diabetes Care · doi:10.2337/dc11-9998 · Cited by 718
Definition, Classification and Diagnosis of Diabetes, Prediabetes and Metabolic Syndrome
Goldenberg, R., & Punthakee, Z. (2013) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2013.01.011 · Cited by 635
HbA 1c as a screening tool for detection of Type 2 diabetes: a systematic review
Bennett, C. M., Guo, M., & Dharmage, S. C. (2007) · Diabetic Medicine · doi:10.1111/j.1464-5491.2007.02106.x · Cited by 534
1998 clinical practice guidelines for the management of diabetes in Canada
Meltzer, S. J., Leiter, L. A., Daneman, D., Gerstein, H. C., Lau, D. C. W., Ludwig, S. M., Yale, J., Zinman, B., Lillie, D., & Steering, C. (1998) · Canadian Medical Association Journal · Cited by 378
The Pros and Cons of Diagnosing Diabetes With A1C
Bonora, E., & Tuomilehto, J. O. (2011) · Diabetes Care · doi:10.2337/dc11-s216 · Cited by 390
Diabetes Prevention Program Research Group (2007) · Diabetic Medicine · doi:10.1111/j.1464-5491.2007.02043.x · Cited by 363
Tripathy, D., Carlsson, M., Almgren, P., Isomaa, B., Taskinen, M., Tuomi, T., & Groop, L. (2000) · Diabetes · doi:10.2337/diabetes.49.6.975 · Cited by 358
DECODE Study Group, on behalf of the European Diabetes Epidemiology Study Group, Tuomilehto, J., Jousilahti, P., & Lindström, J. (1998) · BMJ · doi:10.1136/bmj.317.7155.371 · Cited by 349
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351
“In 1997, the diagnostic criteria were modified (1) to better identify individuals at risk of retinopathy and nephropathy (17,18).”
de Sotillo, D. R., & Hadley, M. (2002) · The Journal of Nutritional Biochemistry · doi:10.1016/s0955-2863(02)00231-0 · Cited by 322
Glycemic Thresholds for Diabetes-Specific Retinopathy
Colagiuri, S., Lee, C. M. Y., Wong, T. Y., Balkau, B., Shaw, J. E., Borch-Johnsen, K., & the DETECT-2 Collaboration Writing Group (2011) · Diabetes Care · doi:10.2337/dc10-1206 · Cited by 300
I Diretriz Brasileira de Diagnóstico e Tratamento da Síndrome Metabólica
de Carvalho, M. H. C., Mancini, M. C., de Melo, M. E., Bahia, L., Negrão, C. E., de Matos, L. D. N. J., Sanjuliani, A. F., Kohlmann, O., Oliveira, J. E. P. D., Lerário, A. C., et al. (2005) · Arquivos Brasileiros de Cardiologia · doi:10.1590/s0066-782x2005000700001 · Cited by 305
Diagnosis, screening and management of cystic fibrosis related diabetes mellitus
Moran, A., Hardin, D. S., Rodman, D. M., Allen, H. F., Beall, R. J., Borowitz, D., Brunzell, C., Campbell, P., Chesrown, S. E., Duchow, C., et al. (1999) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(99)00058-3 · Cited by 290
Bastyr, E. J., Stuart, C., Brodows, R. G., Schwartz, S. L., Graf, C. J., Zagar, A. J., & Robertson, K. E. (2000) · Diabetes Care · doi:10.2337/diacare.23.9.1236 · Cited by 274
Selvin, E., Rawlings, A. M., Grams, M., Klein, R., Sharrett, A. R., Steffes, M., & Coresh, J. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(13)70199-2 · Cited by 262
Diabetes control and complications: the role of glycated haemoglobin, 25 years on
Jeffcoate, S. L. (2003) · Diabetic Medicine · doi:10.1046/j.1464-5491.2003.01065.x · Cited by 253
Lucotti, P., Setola, E., Monti, L. D., Galluccio, E., Costa, S., Sandoli, E. P., Fermo, I., Rabaiotti, G., Gatti, R., & Piatti, P. (2006) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00002.2006 · Cited by 249
Wong, T. Y., Liew, G., Tapp, R. J., Schmidt, M. I., Wang, J. J., Mitchell, P. L. R., Klein, R., Klein, B. E. K., Zimmet, P., & Shaw, J. E. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60343-8 · Cited by 244
Painful sensory polyneuropathy associated with impaired glucose tolerance
Singleton, J. R., Smith, A. G., & Bromberg, M. B. (2001) · Muscle & Nerve · doi:10.1002/mus.1136 · Cited by 241
Engebretson, S. P., & Kocher, T. (2013) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.12084 · Cited by 248
Is fasting glucose sufficient to define diabetes? Epidemiological data from 20 European studies
The DECODE-study group on behalf of the (1999) · Diabetologia · doi:10.1007/s001250051211 · Cited by 227
The oral glucose tolerance test (OGTT) revisited
Bartoli, E., Fra, G. P., & Schianca, G. P. C. (2010) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2010.07.008 · Cited by 231
Tests of Glycemia for the Diagnosis of Type 2 Diabetes Mellitus
Barr, R. G., Nathan, D. M., Meigs, J., & Singer, D. E. (2002) · Annals of Internal Medicine · doi:10.7326/0003-4819-137-4-200208200-00011 · Cited by 219
Review of methods for detecting glycemic disorders
Bergman, M., Abdul‐Ghani, M. A., DeFronzo, R. A., Manco, M., Sesti, G., Fiorentino, T. V., Ceriello, A., Rhee, M. K., Phillips, L. S., Chung, S. T., et al. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108233 · Cited by 210
Journal of Pharmaceutical and Biomedical Sciences
(2016) · Journal of Pharmaceutical and Biomedical Sciences · doi:10.20936/jpbms · Cited by 193
Danaei, G., Fahimi, S., Lu, Y., Zhou, B., Hajifathalian, K., Cesare, M. D., Lo, W., Reis-Santos, B., Cowan, M., Shaw, J. E., et al. (2015) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(15)00129-1 · Cited by 201
Self-citationRelationship Between Fasting Plasma Glucose and Glycosylated Hemoglobin
Davidson, M. B., Schriger, D. L., Peters, A. L., & Lorber, B. (1999) · JAMA · doi:10.1001/jama.281.13.1203 · Cited by 189
U.S. Preventive Services Task Force* (2008) · Annals of Internal Medicine · doi:10.7326/0003-4819-148-11-200806030-00007 · Cited by 185
Sabanayagam, C., Liew, G., Tai, E. S., Shankar, A., Lim, S. C., Subramaniam, T., & Wong, T. Y. (2009) · Diabetologia · doi:10.1007/s00125-009-1360-5 · Cited by 179
Definition, Klassifikation und Diagnostik des Diabetes mellitus
Nauck, M. A., Petermann, A., Müller‐Wieland, D., Kerner, W., Müller, U., Landgraf, R., Freckmann, G., & Heinemann, L. (2017) · Diabetologie und Stoffwechsel · doi:10.1055/s-0043-115953 · Cited by 178
Bergman, M., Manco, M., Satman, İ., Chan, J. C. N., Schmidt, M. I., Sesti, G., Fiorentino, T. V., Abdul-Ghani, M. A., Jagannathan, R., Pramodkumar, T. A., et al. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111589 · Cited by 198
Overdiagnosis in primary care: framing the problem and finding solutions
Kale, M., & Korenstein, D. R. (2018) · BMJ · doi:10.1136/bmj.k2820 · Cited by 176
Petersen, J. L., & McGuire, D. K. (2005) · Diabetes and Vascular Disease Research · doi:10.3132/dvdr.2005.007 · Cited by 159
2017 Taiwan lipid guidelines for high risk patients
Li, Y., Ueng, K., Jeng, J., Charng, M., Lin, T., Chien, K., Wang, C., Chao, T., Liu, P., Su, C., et al. (2017) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2016.11.013 · Cited by 166
Cheng, Y. J., Gregg, E. W., Geiss, L. S., Imperatore, G., Williams, D. E., Zhang, X., Albright, A. L., Cowie, C. C., Klein, R., & Saaddine, J. B. (2009) · Diabetes Care · doi:10.2337/dc09-0440 · Cited by 157
Diabetes Melito: Diagnóstico, Classificação e Avaliação do Controle Glicêmico
Gross, J. L., Silveiro, S. P., Camargo, J. L., Reichelt, A. J., & de Azevedo, M. J. (2002) · Arquivos Brasileiros de Endocrinologia & Metabologia · doi:10.1590/s0004-27302002000100004 · Cited by 150
The Oral Glucose Tolerance Test: 100 Years Later
Jagannathan, R., Neves, J. S., Dorcely, B., Chung, S. T., Tamura, K., Rhee, M. K., & Bergman, M. (2020) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s246062 · Cited by 177
Perry, R. C., Shankar, R. R., Fineberg, N., McGill, J., & Baron, A. D. (2001) · Diabetes Care · doi:10.2337/diacare.24.3.465 · Cited by 150
Sacks, D. B., Arnold, M. A., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad080 · Cited by 164
Buysschaert, M., & Bergman, M. (2011) · Medical Clinics of North America · doi:10.1016/j.mcna.2010.11.002 · Cited by 159
Sargeant, L. A., Wareham, N. J., Bingham, S. A., Day, N., Luben, R., Oakes, S., Welch, A. A., & Khaw, K. (2000) · Diabetes Care · doi:10.2337/diacare.23.6.726 · Cited by 144
A Multivariate Logistic Regression Equation to Screen for Diabetes
Tabaei, B. P., & Herman, W. H. (2002) · Diabetes Care · doi:10.2337/diacare.25.11.1999 · Cited by 146
Self-citationCigarette smoking and glycaemia: the EPIC-Norfolk Study
Sargeant, L. A., Khaw, K., Bingham, S. A., Day, N., Luben, R., Oakes, S., Welch, A. A., & Wareham, N. J. (2001) · International Journal of Epidemiology · doi:10.1093/ije/30.3.547 · Cited by 136
Selvin, E., Yang, N., Steffes, M. W., Bash, L. D., Klein, R., Wong, T. Y., Astor, B. C., Sharrett, A. R., Brancati, F. L., & Coresh, J. (2010) · Diabetes · doi:10.2337/db10-1198 · Cited by 137
Self-care practices of Malaysian adults with diabetes and sub-optimal glycaemic control
Tan, M. Y., & Magarey, J. (2008) · Patient Education and Counseling · doi:10.1016/j.pec.2008.03.017 · Cited by 134
Epidemiology of diabetic retinopathy and maculopathy in Africa: a systematic review
Burgess, P. I., MacCormick, I. J. C., Harding, S. P., Bastawrous, A., Beare, N. A. V., & Garner, P. (2012) · Diabetic Medicine · doi:10.1111/j.1464-5491.2012.03756.x · Cited by 130
Engebretson, S. P., & Kocher, T. (2013) · Journal of Periodontology · doi:10.1902/jop.2013.1340017 · Cited by 133
Implications of Using Hemoglobin A1C for Diagnosing Diabetes Mellitus
Malkani, S., & Mordes, J. P. (2011) · The American Journal of Medicine · doi:10.1016/j.amjmed.2010.11.025 · Cited by 133
Hanefeld, M., Koehler, C., Henkel, E., Fuecker, K., Schäper, F., & Temelkova-Kurktschiev, T. S. (2000) · Diabetic Medicine · doi:10.1046/j.1464-5491.2000.00408.x · Cited by 118
Current controversies in the use of haemoglobin A1c
Hare, M. J. L., Shaw, J. E., & Zimmet, P. (2011) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2012.02513.x · Cited by 114
Bergman, M., Manco, M., Sesti, G., Dankner, R. S., Pareek, M., Jagannathan, R., Chetrit, A., Abdul-Ghani, M. A., Buysschaert, M., Olsen, M. H., et al. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.09.017 · Cited by 108
Correlation among fasting plasma glucose, two-hour plasma glucose levels in OGTT and HbA1c
Ito, C., Maeda, R., Ishida, S., Sasaki, H., & Harada, H. (2000) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(00)00187-x · Cited by 103
The Performance of a Risk Score in Predicting Undiagnosed Hyperglycemia
Park, P. J., Griffin, S. J., Sargeant, L. A., & Wareham, N. J. (2002) · Diabetes Care · doi:10.2337/diacare.25.6.984 · Cited by 101
Selvin, E. (2016) · Diabetes Care · doi:10.2337/dc16-0042 · Cited by 96
Prevalence of Diabetes and Impaired Glucose Tolerance in 64-Year-Old Swedish Women
Brohall, G., Behre, C. J., Hulthe, J., Wikstrand, J., & Fagerberg, B. (2006) · Diabetes Care · doi:10.2337/diacare.29.02.06.dc05-1229 · Cited by 94
Lee, J. M., Wu, E.-L., Tarini, B. A., Herman, W. H., & Yoon, E. Y. (2010) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2010.11.026 · Cited by 95
Self-citationTransplant-Associated Hyperglycemia
Crutchlow, M. F., & Bloom, R. D. (2007) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.03671106 · Cited by 89
Approach to the Patient with Prediabetes
Aroda, V. R., & Ratner, R. E. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-1091 · Cited by 87
Spijkerman, A. M. W., Yuyun, M. F., Griffin, S. J., Dekker, J. M., Nijpels, G., & Wareham, N. J. (2004) · Diabetes Care · doi:10.2337/diacare.27.1.116 · Cited by 80
Glycated haemoglobin in the year 2000
Kilpatrick, E. S. (2000) · Journal of Clinical Pathology · doi:10.1136/jcp.53.5.335 · Cited by 76
Diagnostic thresholds for diabetes: The association of retinopathy and albuminuria with glycaemia
Tapp, R. J., Zimmet, P., Harper, C. A., de Courten, M., McCarty, D. J., Balkau, B., Taylor, H. R., Welborn, T. A., & Shaw, J. E. (2006) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.02.008 · Cited by 73
Screening for and managing diabetic retinopathy: Current approaches
Bloomgarden, Z. T. (2007) · American Journal of Health-System Pharmacy · doi:10.2146/ajhp070331 · Cited by 73
Evidence for current diagnostic criteria of diabetes mellitus
Kumar, R., Nandhini, L. P., Kamalanathan, S., Sahoo, J., & Vivekanadan, M. (2016) · World Journal of Diabetes · doi:10.4239/wjd.v7.i17.396 · Cited by 82
Should the Hemoglobin A 1c Diagnostic Cutoff Differ Between Blacks and Whites?
Tsugawa, Y., Mukamal, K. J., Davis, R. B., Taylor, W. C., & Wee, C. C. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-3-201208070-00004 · Cited by 73
Nakagami, T., Tominaga, M., Nishimura, R., Yoshiike, N., Daimon, M., Oizumi, T., & Tajima, N. (2006) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.09.015 · Cited by 70
Miyazaki, M., Kubo, M., Kiyohara, Y., Okubo, K., Nakamura, H., Fujisawa, K., Hata, Y., Tokunaga, S., Iida, M., Nose, Y., et al. (2004) · Diabetologia · doi:10.1007/s00125-004-1466-8 · Cited by 68
Discordance in the diagnosis of diabetes: Comparison between HbA1c and fasting plasma glucose
Ho-Pham, L. T., Nguyen, U. D. T., Tran, T. X., & Nguyen, T. V. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182192 · Cited by 75
The Classification and Diagnosis of Diabetes Mellitus
Alberti, K. G. M. M. (2010) · Wiley eBooks · doi:10.1002/9781444324808.ch2 · Cited by 70
Dyck, P. J. B., Dyck, P. J. B., Klein, C. J., & Weigand, S. D. (2007) · Muscle & Nerve · doi:10.1002/mus.20846 · Cited by 65
Cintra, L. T. Â., Samuel, R. O., Facundo, A. C. S., Prieto, A. K. C., Sumida, D. H., Bomfim, S. R. M., de Souza, J. C., Dezan‐Júnior, E., & Gomes‐Filho, J. E. (2013) · International Endodontic Journal · doi:10.1111/iej.12136 · Cited by 68
Engebretson, S. P., & Hey‐Hadavi, J. (2011) · Pharmacological Research · doi:10.1016/j.phrs.2011.06.024 · Cited by 66
Khaing, N. E. E., Khoo, C. M., Tai, E. S., Lim, S. C., Tavintharan, S., Wong, T. Y., Heng, D., & Lee, J. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp076 · Cited by 64
Is hyperuricemia a risk factor of stroke and coronary heart disease among Africans?
Longo‐Mbenza, B., Luila, E. L., Mbete, P., & Vita, E. K. (1999) · International Journal of Cardiology · doi:10.1016/s0167-5273(99)00097-2 · Cited by 64
Gao, L., Matthews, F. E., Sargeant, L. A., Brayne, C., & CFAS, M. (2008) · BMC Public Health · doi:10.1186/1471-2458-8-54 · Cited by 64
Mogre, V., Salifu, Z. S., & Abedandi, R. (2014) · Journal of Diabetes & Metabolic Disorders · doi:10.1186/2251-6581-13-80 · Cited by 61
Type 1 Diabetes Manifested Solely by 2-h Oral Glucose Tolerance Test Criteria
Greenbaum, C. J., Cuthbertson, D. D., Krischer, J. P., & the Diabetes Prevention Trial of Type 1 Diabetes Study Group (2001) · Diabetes · doi:10.2337/diabetes.50.2.470 · Cited by 61
The Relationship Between β-Cell Function and Glycated Hemoglobin
Kanat, M., Winnier, D., Norton, L., Arar, N., Jenkinson, C. P., DeFronzo, R. A., & Abdul‐Ghani, M. A. (2011) · Diabetes Care · doi:10.2337/dc10-1352 · Cited by 57
Serum vascular adhesion protein-1 is increased in acute and chronic hyperglycemia
Li, H., Wei, J., Lin, M., Smith, D. J., Vainio, J., Lin, C.-H., Chiang, F., Shih, S., Huang, C.-H., Wu, M.-Y., et al. (2009) · Clinica Chimica Acta · doi:10.1016/j.cca.2009.03.041 · Cited by 57
Diabetes Epidemiology: Guiding Clinical and Public Health Practice
Herman, W. H. (2007) · Diabetes Care · doi:10.2337/dc07-9924 · Cited by 56
Self-citationOptimal HbA1c cutoff for detecting diabetic retinopathy
Cho, N. H., Kim, T. H., Woo, S. J., Park, K. H., Lim, S. K., Cho, Y. M., Park, K. S., Jang, H. C., & Choi, S. H. (2013) · Acta Diabetologica · doi:10.1007/s00592-013-0452-3 · Cited by 57
Sweileh, W. M., Zyoud, S. H., Al‐Jabi, S. W., & Sawalha, A. F. (2014) · Scientometrics · doi:10.1007/s11192-014-1361-0 · Cited by 55
Importance of OGTT for diagnosing diabetes mellitus based on prevalence and incidence of retinopathy
Ito, C., Maeda, R., Ishida, S., Harada, H., Inoue, N., & Sasaki, H. (2000) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(00)00156-x · Cited by 52
Hemoglobin A 1c and diagnosis of diabetes
Ding, L., Xu, Y., Liu, S., Bi, Y., & Xu, Y. (2018) · Journal of Diabetes · doi:10.1111/1753-0407.12640 · Cited by 58
Arcavi, L., Behar, S., Caspi, A., Reshef, N., Boyko, V., & Knobler, H. (2004) · American Heart Journal · doi:10.1016/j.ahj.2003.09.013 · Cited by 51
Lévy, J., Morris, R., Hammersley, M., & Turner, R. C. (1999) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1999.276.2.e365 · Cited by 50
Wändell, P. E., Johansson, S., Gåfvels, C., Hellénius, M.-L., Fairé, U. D., & Sundquist, J. (2008) · Diabetes & Metabolism · doi:10.1016/j.diabet.2008.01.012 · Cited by 50
Baltazar, J. C., Ancheta, C. A., Aban, I., Fernando, R. E., & Miguel-Baquilod, M. (2003) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2003.10.013 · Cited by 49
Kowall, B., & Rathmann, W. (2013) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s39093 · Cited by 50
Southern, D. A., Roberts, B. T., Edwards, A. L., Dean, S., Norton, P., Svenson, L. W., Larsen, E., Sargious, P. M., Lau, D. C. W., & Ghali, W. A. (2010) · Canadian Journal of Public Health · doi:10.1007/bf03405564 · Cited by 47
Schwartz, S. L., Ratner, R. E., Kim, D. D. H., Qu, Y., Fechner, L. L., Lenox, S. M., & Holcombe, J. H. (2008) · Clinical Therapeutics · doi:10.1016/j.clinthera.2008.05.004 · Cited by 46
Deckers, J. G. M., Schellevis, F., & Fleming, D. (2006) · European Journal of General Practice · doi:10.1080/13814780600881268 · Cited by 45
Usefulness of stable HbA1c for supportive marker to diagnose diabetes mellitus in Japanese subjects
Tanaka, Y., Atsumi, Y., Matsuoka, K., Mokubo, A., Asahina, T., Hosokawa, K., Shimada, S., Matsunaga, H., Takagi, M., Ogawa, O., et al. (2001) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(01)00226-1 · Cited by 43
Metadata
- Authors
- Engelgau, M. M., Thompson, T. J., Herman, W. H., Boyle, J. P., Aubert, R. E., Kenny, S. J., Badran, A., Sous, E. S., & Ali, M. A.
- Affiliations
- Centers for Disease Control and Prevention (US)
- University of Michigan (US)
- IQVIA (United States) (US)
- Ministry of Health and Population (EG)
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 1997-05-01
- Volume
- 20
- Issue
- 5
- Pages
- 785-791
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2013076312
- Cited by
- 325
- References
- 0
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 7 · 2023: 3 · 2022: 8 · 2021: 8 · 2020: 10 · 2019: 9 · 2018: 12 · 2017: 16 · 2016: 11 · 2015: 8 · 2014: 18 · 2013: 13 · 2012: 15
- FWCI
- 10.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- diabetes diagnosis, fasting blood glucose, 2-hour plasma glucose, HbA1c, diagnostic criteria, WHO criteria, diabetic retinopathy, bimodal distribution, sensitivity and specificity, Egyptian population, diabetes prevalence
- MeSH terms
- Adult, Blood Glucose, Cross-Sectional Studies, Diabetes Mellitus, Diabetic Retinopathy, Egypt, Fasting, Glucose Tolerance Test, Glycated Hemoglobin, Humans, Sensitivity and Specificity, Models, Statistical
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