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
Items 101–200 of 323
Diagnóstico do diabetes e rastreamento do diabetes tipo 2
Cobas, R. A., Rodacki, M., Giacaglia, L. R., Calliari, L. E., de Noronha, R. M., Valério, C. M., Custódio, J., Scharf, M., Barcellos, C. R. G., Tomarchio, M. P., et al. (2022) · Conectando Pessoas eBooks · doi:10.29327/557753.2022-2 · Cited by 96
Fajans, S. S., Herman, W. H., & Oral, E. A. (2010) · Metabolism · doi:10.1016/j.metabol.2010.06.017 · Cited by 43
Self-citationFeig, D. S. (2005) · Canadian Medical Association Journal · doi:10.1503/cmaj.1041197 · Cited by 42
Mukai, N., Yasuda, M., Ninomiya, T., Hata, J., Hirakawa, Y., Ikeda, F., Fukuhara, M., Hotta, T., Koga, M., Nakamura, U., et al. (2014) · Cardiovascular Diabetology · doi:10.1186/1475-2840-13-45 · Cited by 42
Yekta, Z., Pourali, R., Aghasi, M. R., Ashragh, N., Ravanyar, L., & Pour, M. Y. R. (2011) · PubMed · Cited by 41
Herdzik, E., Safranow, K., & Ciechanowski, K. (2002) · Acta Diabetologica · doi:10.1007/s005920200007 · Cited by 41
Diagnostic Criteria for Non-Insulin Dependent Diabetes in Youth (NIDDM-Y)
Dean, H. (1998) · Clinical Pediatrics · doi:10.1177/000992289803700202 · Cited by 40
New Diabetes Diagnostic Threshold of Hemoglobin A1c and the 3-Year Incidence of Retinopathy
Tsugawa, Y., Takahashi, O., Meigs, J. B., Davis, R. B., Imamura, F., Fukui, T., Taylor, W. C., & Wee, C. C. (2012) · Diabetes · doi:10.2337/db12-0103 · Cited by 41
Sun, L., Li, X., Li, G., Dai, B., & Tan, W. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/7038789 · Cited by 40
Xiang, J., Lv, Q., Yi, F., Song, Y., Le, L., Jiang, B., Xu, L., & Xiao, P. (2019) · Molecules · doi:10.3390/molecules24101866 · Cited by 38
Tai, E. S., Lim, S. C., Tan, B. Y., Chew, S. K., Heng, D., & Tan, C. (2000) · Diabetic Medicine · doi:10.1046/j.1464-5491.2000.00382.x · Cited by 37
Borg, R., Vistisen, D., Witte, D. R., & Borch‐Johnsen, K. (2010) · Diabetic Medicine · doi:10.1111/j.1464-5491.2010.03034.x · Cited by 36
Paddock, E., Looker, H. C., Piaggi, P., Knowler, W. C., Krakoff, J. A., & Chang, D. C. (2018) · Diabetes Care · doi:10.2337/dc17-1900 · Cited by 35
Manipulation of Post-Prandial Hyperglycaemia in Type 2 Diabetes: An Update for Practitioners
Shibib, L., Al-Qaisi, M., Guess, N. D., Miras, A. D., Greenwald, S. E., Pelling, M., & Ahmed, A. (2024) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s458894 · Cited by 41
Rowley, K., Daniel, M., & O’Dea, K. (2005) · Diabetic Medicine · doi:10.1111/j.1464-5491.2005.01447.x · Cited by 33
Zhong, X., Yuan, M., Li, H., Hua, L., Feng, J., Shi, J. C., Zhu, X.-R., Cao, X., & Yang, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040610 · Cited by 33
Bimodality of 2-h Plasma Glucose Distributions in Whites
Fan, J., May, S. J., Zhou, Y., & Barrett-Connor, E. (2005) · Diabetes Care · doi:10.2337/diacare.28.6.1451 · Cited by 31
Influence of Diabetes Mellitus on the Endovascular Treatment of Abdominal Aortic Aneurysms
Leurs, L. J., Laheij, R. J. F., & Buth, J. (2005) · Journal of Endovascular Therapy · doi:10.1583/04-1260mr.1 · Cited by 31
Peters, A. L., & Schriger, D. L. (1998) · The American Journal of Medicine · doi:10.1016/s0002-9343(98)00206-x · Cited by 32
Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population
Zhong, X., Liu, C., Niu, W.-Y., Feng, J., Zhao, L., Ma, Y., Hua, L., & Yang, J. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-732 · Cited by 30
Nakagami, T., Takahashi, K., Suto, C., Oya, J., Tanaka, Y., Kurita, M., Isago, C., Hasegawa, Y., Ito, A., & Uchigata, Y. (2016) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2016.12.013 · Cited by 30
Butler, A. E., English, E., Kilpatrick, E. S., Östlundh, L., Chemaitelly, H. S., Abu-Raddad, L. J., Alberti, K. G. M. M., Atkin, S. L., & John, W. G. (2020) · Acta Diabetologica · doi:10.1007/s00592-020-01606-5 · Cited by 33
HbA1c as a diagnostic tool for diabetes and pre‐diabetes: the Bangladesh experience
Bhowmik, B., Diep, L. M., Munir, S. B., Rahman, M. H., Wright, E., Mahmood, S., Afsana, F., Ahmed, T., Khan, A. K. A., & Hussain, A. (2012) · Diabetic Medicine · doi:10.1111/dme.12088 · Cited by 31
New classification and diagnostic criteria for diabetes mellitus
Gavin, J. R. (1998) · Clinical cornerstone · doi:10.1016/s1098-3597(98)90014-x · Cited by 30
Use of Glycated Hemoglobin (A1C) in the Diagnosis of Type 2 Diabetes Mellitus in Adults
Goldenberg, R., CHENG, A. Y. Y., Punthakee, Z., & CLEMENT, M. A. (2011) · Canadian Journal of Diabetes · doi:10.1016/s1499-2671(11)53006-0 · Cited by 30
Bimodal Distribution of Glucose Is Not Universally Useful for Diagnosing Diabetes
Vistisen, D., Colagiuri, S., & Borch‐Johnsen, K. (2008) · Diabetes Care · doi:10.2337/dc08-0867 · Cited by 28
Amoah, A. G. B. (2002) · Acta Diabetologica · doi:10.1007/s005920200006 · Cited by 28
Rehabilitative Considerations for Dental Implants in the Diabetic Patient
Katyayan, P. A., Katyayan, M. K., & Shah, R. J. (2012) · The Journal of Indian Prosthodontic Society · doi:10.1007/s13191-012-0207-9 · Cited by 27
High Prevalence of Diabetic Retinopathy in Diabetic Patients Concomitant with Metabolic Syndrome
Gao, L., Zhong, X., Yuan, M., Cao, X., Feng, J., Shi, J. C., Zhu, X.-R., & Yang, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0145293 · Cited by 27
Prevalence and Associations of Enhanced Retinal Arteriolar Light Reflex
Kaushik, S., Tan, A. G., Mitchell, P., & Wang, J. J. (2006) · Ophthalmology · doi:10.1016/j.ophtha.2006.06.046 · Cited by 27
Hormone Replacement Therapy and Stroke Risk in Older Women
Fung, M. M., Barrett-Connor, E. L., & BETTENCOURT, R. R. (1999) · Journal of Women s Health · doi:10.1089/jwh.1999.8.359 · Cited by 27
Zhao, L., Sun, T., & Wang, L. (2017) · Therapeutics and Clinical Risk Management · doi:10.2147/tcrm.s134039 · Cited by 26
Zhang, R., Li, Y., Zhang, S., Cai, X., Zhou, X., & Ji, L. (2016) · Journal of Diabetes Research · doi:10.1155/2016/4034129 · Cited by 26
Glucokinase MODY and Implications for Treatment Goals of Common Forms of Diabetes
Ajjan, R., & Owen, K. R. (2014) · Current Diabetes Reports · doi:10.1007/s11892-014-0559-0 · Cited by 25
Bando, Y., Ushiogi, Y., Okafuji, K., Toya, D., Tanaka, N., & Fujisawa, M. (2001) · Diabetes Care · doi:10.2337/diacare.24.7.1156 · Cited by 25
Standardising HbA1c-based diabetes diagnosis: opportunities and challenges
Jia, W. (2015) · Expert Review of Molecular Diagnostics · doi:10.1586/14737159.2016.1133299 · Cited by 26
Eskesen, K., Jensen, M. T., Galatius, S., Vestergaard, H., Hildebrandt, P. R., Marott, J. L., & Jensen, J. S. (2012) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2012.02594.x · Cited by 23
Diagnosing Diabetes With Glucose Criteria: Worshipping a False God
Davidson, M. B. (2011) · Diabetes Care · doi:10.2337/dc10-1689 · Cited by 23
Park, Y., Ko, S., Lee, J.-M., Kim, D. J., Kim, D. J., Han, K., Bower, J. K., & Ahn, Y. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.04.003 · Cited by 22
Comparison of ADA and WHO screening methods for diabetes mellitus in obese patients
Mannucci, E., Bardini, G., Ognibene, A., & Rotella, C. M. (1999) · Diabetic Medicine · doi:10.1046/j.1464-5491.1999.00116.x · Cited by 22
Implications of using HBA1C as a diagnostic marker for diabetes
Hussain, N. (2015) · Diabetology International · doi:10.1007/s13340-015-0244-9 · Cited by 22
Glucose: Archetypal Biomarker in Diabetes Diagnosis, Clinical Management and Research
Krentz, A. J., & Hompesch, M. (2016) · Biomarkers in Medicine · doi:10.2217/bmm-2016-0170 · Cited by 24
Goodman-Kruskal Measure of Association for Fuzzy-Categorized Variables
Taheri, S. M., & Hesamian, G. (2011) · Czech digital mathematics library · Cited by 21
Church, D., & Simmons, D. S. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12200 · Cited by 22
Aidenloo, N. S., Mehdizadeh, A., Valizadeh, N., Abbaszadeh, M. E., Qarequran, S., & Khalkhali, H. R. (2016) · Iranian Red Crescent Medical Journal · doi:10.5812/ircmj.31254 · Cited by 20
Fasting Plasma Glucose Cutoff for Diagnosis of Diabetes in a Japanese Population
Doi, Y., Kubo, M., Yonemoto, K., Ninomiya, T., Iwase, M., Arima, H., Hata, J., Tanizaki, Y., Iida, M., & Kiyohara, Y. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2819 · Cited by 20
Pal, D. K., Bhalla, A., Bammidi, S., Telles, S., Kohli, A., Kumar, S., Devi, P., Kaur, N., Sharma, K., Kumar, R., et al. (2017) · Integrative Medicine International · doi:10.1159/000479816 · Cited by 19
Use and interpretation of HbA1ctesting in general practice. Implications for quality of care
Skeie, S., Thue, G., & Sandberg, S. (2000) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/003655100750019251 · Cited by 19
Li, A., Ojogho, O. N., Franco, E. S., Baron, P. W., Iwaki, Y., & Escher, A. (2006) · Vaccine · doi:10.1016/j.vaccine.2006.03.041 · Cited by 19
Matsushita, Y., Takeda, N., Nakamura, Y., Yoshida‐Hata, N., Yamamoto, S., Noda, M., Yokoyama, T., Mizoue, T., & Nakagawa, T. (2020) · Journal of Diabetes Research · doi:10.1155/2020/3214676 · Cited by 18
Is the present cut-point to define type 2 diabetes appropriate in Latin-Americans?
López-Jaramillo, P. A. (2014) · World Journal of Diabetes · doi:10.4239/wjd.v5.i6.747 · Cited by 17
Hutchinson, M. S., Joakimsen, R. M., Njølstad, I., Schirmer, H., Figenschau, Y., & Jorde, R. (2012) · PubMed · doi:10.3275/8191 · Cited by 18
Effects of Web-based Diabetic Education in Obese Diabetic Patients
Kim, H. S. (2005) · Daehan ganho haghoeji · doi:10.4040/jkan.2005.35.5.924 · Cited by 18
Charles, M.-A. A., Eschw�ge, E., Grandmottet, P., Isnard, F., Cohen, J., Bensoussan, J.-L., Berche, H., Chapiro, O., Andr�, P., Vague, P., et al. (2000) · Diabetes/Metabolism Research and Reviews · doi:10.1002/(sici)1520-7560(200001/02)16:1 · Cited by 58
Diagnostic accuracy of H b A 1c in diabetes between E astern and W estern
Yan, S., Liu, S., Zhao, Y., Zhang, W., Sun, X., Li, J., Jiang, F.-L., Ju, J., Lang, N., Zhang, Y., et al. (2013) · European Journal of Clinical Investigation · doi:10.1111/eci.12098 · Cited by 17
Wang, J., Lee, I., Lee, W., Lin, S., Fu, C., Lee, W.-L., Liang, K., & Sheu, W. H. (2014) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2014-0860 · Cited by 17
Hu, Y., Niu, Y., Wang, D.-D., Wang, Y., Holden, B., & He, M.-G. (2015) · Investigative Ophthalmology and Visual Science · doi:10.1167/iovs.14-15943 · Cited by 16
Metcalf, P., Kyle, C., Kenealy, T. W., & Jackson, R. (2017) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2017.02.007 · Cited by 19
Nuttall, F. Q., Gannon, M. C., Swaim, W. R., & Adams, M. J. (2004) · Metabolism · doi:10.1016/j.metabol.2004.04.001 · Cited by 17
Treatment Recommendations for Prediabetes
Ratner, R. E., & Sathasivam, A. (2011) · Medical Clinics of North America · doi:10.1016/j.mcna.2010.11.007 · Cited by 19
Heise, H. M., & Lampen, P. (2000) · Diabetes Care · doi:10.2337/diacare.23.8.1208 · Cited by 17
Rodacki, M., Zajdenverg, L., Júnior, W. S. D. S., Giacaglia, L. R., Negrato, C. A., Cobas, R. A., de Almeida-Pititto, B., & Bertoluci, M. C. (2025) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01572-w · Cited by 19
Atkin, S. L., Butler, A. E., Hunt, S. C., & Kilpatrick, E. S. (2021) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14449 · Cited by 17
Takao, T., Inoue, K., Suka, M., Yanagisawa, H., & Iwamoto, Y. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.03.051 · Cited by 17
Reconsidering the HbA1c Cutoff for Diabetes Diagnosis Based on a Large Chinese Cohort
Qi, J., Su, Y., Song, Q., Ding, Z., Cao, M., Cui, B., & Qi, Y. (2019) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-0833-8119 · Cited by 16
Viswanathan, V., Clementina, M., Nair, B. M., & Satyavani, K. (2007) · PubMed · Cited by 16
Reproducibility of a prediabetes classification in a contemporary population
Chadha, C., Pittas, A. G., Lary, C. W., Knowler, W. C., Chatterjee, R., Phillips, L. S., Aroda, V. R., Lewis, M. R., Pratley, R., Staten, M. A., et al. (2020) · Metabolism Open · doi:10.1016/j.metop.2020.100031 · Cited by 15
Prevalence of hypothyroidism and diabetes mellitus in elderly kibbutz members
FLATAU, E., Trougouboff, P., Kaufman, N., Reichman, N., & Luboshitzky, R. (2000) · European Journal of Epidemiology · doi:10.1023/a:1007688113450 · Cited by 15
Cutaneous vascular function during acute hyperglycemia in healthy young adults
Charkoudian, N., Vella, A. V., Reed, A. S., Minson, C. T., Shah, P. J., Rizza, R. A., & Joyner, M. J. (2002) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00345.2002 · Cited by 15
Prediction model for high glycated hemoglobin concentration among ethnic Chinese in Taiwan
Chien, K., Lin, H., Lee, B., Hsu, H., & Chen, M.-F. (2010) · Cardiovascular Diabetology · doi:10.1186/1475-2840-9-59 · Cited by 14
Hosseinpanah, F., Rambod, M., غفاری, د. ح. ر., & Azizi, F. (2006) · Diabetic Medicine · doi:10.1111/j.1464-5491.2006.01939.x · Cited by 14
Clinical Impact of the New Criteria for the Diagnosis of Diabetes Mellitus
Kernohan, A. F. B., Perry, C. G., & SMALL, M. P. (2003) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2003.190 · Cited by 14
Muñiz, J. (1999) · European Journal of Public Health · doi:10.1093/eurpub/9.2.149 · Cited by 14
Park, P. J., Griffin, S. J., Duffy, S. W., & Wareham, N. J. (2000) · Journal of Medical Screening · doi:10.1136/jms.7.2.91 · Cited by 14
Quan, H., Zhang, H., Wei, W., Fang, T., Chen, D., & Chen, K. (2017) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2017.4863 · Cited by 13
Incidence of type 2 diabetes by HbA1c and OGTT: the Isfahan Diabetes Prevention Study
Janghorbani, M., & Amini, M. (2011) · Acta Diabetologica · doi:10.1007/s00592-011-0260-6 · Cited by 14
The Management of Type 2 Diabetes Mellitus FOCUS on Quality
Miser, W. F. (2007) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2007.01.001 · Cited by 11
Inzucchi, S. E., & Majumdar, S. K. (2014) · Medical Clinics of North America · doi:10.1016/j.mcna.2014.08.018 · Cited by 15
Krakoff, J. A., Hanson, R. L., Kobes, S., & Knowler, W. C. (2001) · Diabetes Care · doi:10.2337/diacare.24.6.1023 · Cited by 13
Aoyama, N., Suzuki, J., Kobayashi, N., Hanatani, T., Ashigaki, N., Yoshida, A., Shiheido‐Watanabe, Y., Sato, H., Izumi, Y., & Isobe, M. (2018) · International Heart Journal · doi:10.1536/ihj.17-480 · Cited by 13
Estimation of the metabolic syndrome prevalence in the general population in Germany
Neuhauser, H. K., & Ellert, U. (2007) · Journal of Public Health · doi:10.1007/s10389-007-0168-3 · Cited by 12
Biological variation of cardiovascular risk factors in patients with diabetes
Dawson, A. J., Sathyapalan, T., Atkin, S. L., & Kilpatrick, E. S. (2013) · Diabetic Medicine · doi:10.1111/dme.12160 · Cited by 12
Yang, C., Liu, Y., Li, X., Liang, H., & Jiang, X. (2012) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.3109/00365513.2012.689324 · Cited by 13
The Effect of the New ADA and WHO Guidelines on the Number of Diagnosed Cases of Diabetes Mellitus
Jørgensen, L. G. M., Brandslund, I., Petersen, P. H., Olivarius, N. D. F., & Stahl, M. (2003) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2003.191 · Cited by 12
Plasma Glucose and Prediction of Microvascular Disease and Mortality
Gabir, M. M., Hanson, R. L., & Knowler, W. C. (2000) · Cited by 12
Sakuma, M., Arai, H., Mizuno, A., Fukaya, M., Matsuura, M., Sasaki, H., Yamanaka‐Okumura, H., Yamamoto, H., Taketani, Y., Doi, T., et al. (2009) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.09-08 · Cited by 12
Zhang, X., Yang, Z., Zhang, M., Zhu, Y., Zhao, Z., Huang, Z., Li, C., Zhou, M., Farmer, A. A., Tang, J.-L., et al. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108672 · Cited by 11
Hunt, L. M., Arndt, E., Bell, H. S., & Howard, H. (2021) · Journal of Bioethical Inquiry · doi:10.1007/s11673-021-10119-x · Cited by 12
Akbar, D. H. (2003) · Saudi Medical Journal · doi:10.15537/1658-3175.2193 · Cited by 11
Golden, S. H., Selvin, E., & Cunningham, K. E. (2006) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2006.00673.x · Cited by 11
Choi, Y. H., Ahn, Y., Yoon, K., Kang, M. I., Cha, B. Y., Lee, K. W., Son, H., & Kang, S. K. (2000) · The Korean Journal of Internal Medicine · doi:10.3904/kjim.2000.15.3.211 · Cited by 11
Diabetes mellitus – an overview
Sonia, T. A., & Sharma, C. P. (2014) · Elsevier eBooks · doi:10.1533/9781908818683.1 · Cited by 11
Diagnostic Criteria and Classification of Diabetes
Leu, J. P., & Zonszein, J. (2009) · Springer eBooks · doi:10.1007/978-0-387-09841-8_7 · Cited by 11
THE DIAGNOSIS AND CLASSIFICATION OF DIABETES MELLITUS IN NONPREGNANT ADULTS
Herman, W. H., & Wareham, N. J. (1999) · Primary Care Clinics in Office Practice · doi:10.1016/s0095-4543(05)70129-9 · Cited by 11
Self-citationAl-Kharusi, A., Al-Lawati, N., Al-Kindi, M., & Mula-Abed, W.-A. S. (2014) · Oman Medical Journal · doi:10.5001/omj.2014.109 · Cited by 10
Mollet, J. J., Molist‐Brunet, N., Franch‐Nadal, J., Griera, J. M., Gramunt, I. O., & Barro, P. P. (2004) · Atención Primaria · doi:10.1016/s0212-6567(04)70838-0 · Cited by 10
Federici, M. O., Mosca, A., Testa, R., Lapolla, A., Andreani, P., & Benedetti, M. M. (2006) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2006.100 · Cited by 10
Contrast Sensitivity Function in Patients with Impaired Oral Glucose Tolerance
Gartaganis, S. P., Psyrojannis, A. J., Koliopoulos, J. X., & Mela, E. K. (2001) · Optometry and Vision Science · doi:10.1002/j.1538-9235.2001.tb01229.x · Cited by 10
Nitiyanant, W., Ploybutr, S., Sriussadaporn, S., Yamwong, P., & Vannasaeng, S. (1998) · Diabetes Research and Clinical Practice · doi:10.1016/s0168-8227(98)00082-5 · Cited by 10
Diabetische Retinopathie und Makulopathie
Lemmen, K. D., & Martin, S. (2008) · Der Diabetologe · doi:10.1007/s11428-008-0220-0 · Cited by 9
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