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 201–300 of 323
Can the level of HbA1C predict diabetic retinopathy among type II diabetic patients?
Setareh, J., Hoseinzade, G., Khoundabi, B., Kamali, M., Ebrahimi, A., Naghibi, A. F., Zareei, M., Mohamaditabar, M., & Makaremi, A. (2022) · BMC Ophthalmology · doi:10.1186/s12886-022-02608-3 · Cited by 12
Coronary Risk Factors of Angiographically Assessed Patients from Syria
Al‐Kateb, H., Zarzzour, W., Shameah, M., & Juoma, M. (1998) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1177/174182679800500104 · Cited by 9
Duan, Y., Sun, X., Liu, J., Fu, J. H., & Wang, G. (2019) · Journal of Diabetes Research · doi:10.1155/2019/6053604 · Cited by 9
RELATIONSHIP BETWEEN FASTING GLUCOSE AND RETINOPATHY FOR DIAGNOSIS OF DIABETES
Jonas, J. B., Xu, L., Xie, X. W., & Wang, Y. X. (2010) · Retina · doi:10.1097/iae.0b013e3181ce74ae · Cited by 9
GHb (HbA(1c)) is more sensitive than fasting blood glucose as a screening test for diabetes.
Papoz, L., Favier, F., Clabé, A., Sanchez, A., & Moullec, N. L. (2000) · Diabetes Care · doi:10.2337/diacare.23.8.1206a · Cited by 9
DIABETIC RETINOPATHY - CAN LEAD TO COMPLETE BLINDNESS
SrinivasaRao, A., & Sharma, J. (2013) · Cited by 9
Detecting Type 2 Diabetes by a Single Post-Challenge Blood Sample
Haeckel, R., Wosniok, W., Raber, R., & Janka, H.-U. (2003) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2003.192 · Cited by 9
The Optimal Cutoff Value of Glycated Hemoglobin for Detection of Diabetic Retinopathy
Kim, J. M., & Kim, D. (2015) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2015.39.1.16 · Cited by 8
Matsushita, Y., Yokoyama, T., Takeda, N., Katai, N., Yoshida‐Hata, N., Nakamura, Y., Yamamoto, S., Noda, M., Mizoue, T., & Nakagawa, T. (2020) · Endocrinology Diabetes & Metabolism · doi:10.1002/edm2.196 · Cited by 8
Classification and diagnosis of diabetes mellitus
Alberti, K. G. M. M., & Zimmet, P. (2011) · doi:10.1093/med/9780199235292.003.1304 · Cited by 8
Mula-Abed, W.-A. S., & Al-Naemi, A. H. (2003) · Saudi Medical Journal · doi:10.15537/1658-3175.2037 · Cited by 8
Mohan, V., Deepa, R., & Rema, M. (2000) · Metabolism · doi:10.1016/s0026-0495(00)80008-6 · Cited by 8
Azam, M. E., Marwood, L., Ismail, K., Evans, T., Sivaprasad, S., Winkley, K., & Amiel, S. A. (2015) · Journal of Diabetes Research · doi:10.1155/2015/587673 · Cited by 7
Gomero, A., McDade, T. W., Williams, S., & Lindau, S. T. (2008) · Cited by 7
Définition, classification et diagnostic du diabète, du prédiabète et du syndrome métabolique
Goldenberg, R., & Punthakee, Z. (2013) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2013.07.031 · Cited by 7
Retinopathy, plasma glucose, and the diagnosis of diabetes
Mohamed, Q. A., & Evans, A. J. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60318-9 · Cited by 7
Tian, X., Xia, X., Zhang, Y., Xu, Q., Luo, Y., & Wang, A. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111127 · Cited by 6
Ende Diabetes Study: diabetes and its characteristics in rural area of East Nusa Tenggara
Waspadji, S., Soewondo, P., Subekti, I., Soebardi, S., Harbuwono, D. S., Pramono, L. A., & Supali, T. (2013) · Medical Journal of Indonesia · doi:10.13181/mji.v22i1.517 · Cited by 6
Diagnostic criteria of diabetes
Sato, A., & Iwamoto, Y. (2013) · Diabetology International · doi:10.1007/s13340-013-0110-6 · Cited by 7
Li, Q., Lü, J., Cao, X., Shi, T., Feng, J., & Yang, J. (2017) · Hormone and Metabolic Research · doi:10.1055/s-0042-117010 · Cited by 6
Tütüncüoğlu, P., Saraç, F., Saygılı, F., Özgen, G., Yılmaz, C., & Tüzün, M. (2008) · Acta Diabetologica · doi:10.1007/s00592-008-0034-y · Cited by 6
Vivian Gallardo, T., Alejandra Ávila, A., Nancy Unanue, M., & Ethel Codner, D. (2006) · Revista médica de Chile · doi:10.4067/s0034-98872006000900009 · Cited by 6
Martín‐Luján, F., Pinel, B. C., Romero, A. D.-M., Gallisà, T. B., Basora, J., & Moreso, J. L. P. (2000) · Atención Primaria · doi:10.1016/s0212-6567(00)78716-6 · Cited by 6
US Trends for Diabetes Prevalence Among Adults
Magliano, D. J., Zimmet, P., & Shaw, J. E. (2016) · JAMA · doi:10.1001/jama.2015.16455 · Cited by 6
Screening for Type 2 Diabetes Mellitus in Adults: Recommendations and Rationale
&NA; (2004) · AJN American Journal of Nursing · doi:10.1097/00000446-200403000-00030 · Cited by 6
Eid, W., & Pottala, J. V. (2009) · Endocrine Practice · doi:10.4158/ep09135.or · Cited by 5
Diabetes and the Nervous System
Pop‐Busui, R., Sullivan, K. A., & Feldman, E. L. (2008) · Elsevier eBooks · doi:10.1016/b978-044306707-5.50024-9 · Cited by 5
Yeo, S.-J., & Kim, B. (2018) · 대한지역사회영양학회지 · doi:10.5720/kjcn.2018.23.2.148 · Cited by 5
Punnose, J., Malhotra, R. K., Sukhija, K., Mathew, A., Sharma, A., & Choudhary, N. (2018) · Journal of Clinical & Translational Endocrinology · doi:10.1016/j.jcte.2018.06.001 · Cited by 5
Validity and reliability of a novel metabolic flexibility test in children with obesity
Chu, L., Morrison, K. M., Riddell, M. C., Raha, S., & Timmons, B. W. (2017) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00093.2017 · Cited by 4
Diagnostic Criteria and Classification
Lee, C., & Colagiuri, S. (2018) · Endocrinology · doi:10.1007/978-3-319-45015-5_3 · Cited by 5
Longitudinal Validation of Hemoglobin A1c Criteria for Diabetes Diagnosis: Risk of Retinopathy
Sobrin, L. (2012) · Diabetes · doi:10.2337/db12-1226 · Cited by 5
Yoo, S., Jung, J., Kim, H., Kim, K. Y., Kim, S. Y., Jung, J., Hahm, J. R., & Baek, J. H. (2020) · Endocrinology and Metabolism · doi:10.3803/enm.2020.798 · Cited by 4
Zuniga, J. A., García, A. A., Silva, L., Park, J., & Barrera, Y. (2019) · Pilot and Feasibility Studies · doi:10.1186/s40814-019-0495-5 · Cited by 4
Chen, Y., Lin, C., Huang, P.-H., & Li, S. (2024) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2024.01.013 · Cited by 5
Diabetische Retinopathie und Makulopathie
Hammes, H. (2011) · Der Internist · doi:10.1007/s00108-010-2762-7 · Cited by 4
Fukudome, M., Nakazaki, M., Fukushige, E., Koriyama, N., Ikeda, Y., Kato, K., Kimura, T., & Tei, C. (2009) · Internal Medicine · doi:10.2169/internalmedicine.48.1544 · Cited by 4
Su, K., Lv, C., Ji, Z., Wang, Y., Wang, H., Bai, Y., & Liu, Y. (2016) · American Journal of Therapeutics · doi:10.1097/mjt.0000000000000431 · Cited by 4
Zhong, X., Hua, L., Wang, X., Zhao, D., Yu, C., Ma, Y., Zhao, L., Cao, X., & Yang, J. (2017) · International Journal of Endocrinology · doi:10.1155/2017/3894870 · Cited by 4
Objetivos y estrategia terapéutica en la diabetes mellitus tipo 2
Romero, J. M. C., & Rodríguez, E. M. L. (2001) · Anales de Medicina Interna · doi:10.4321/s0212-71992001000700010 · Cited by 4
Glucose tolerance test results reappraised using recent ADA criteria
Croxson, S., & Thomas, P. (1998) · Practical Diabetes · doi:10.1002/pdi.1960150608 · Cited by 4
Ziegler, A. G., & Bonifacio, E. E. (2000) · Diabetes Care · doi:10.2337/diacare.23.8.1205 · Cited by 4
Trends in Management of Type 2 Diabetes
Wyne, K. L., Bell, D. S. H., Braunstein, S. N., Drexler, A., Miller, J. L., & Nuckolls, J. G. (2003) · The Endocrinologist · doi:10.1097/01.ten.0000080298.43106.52 · Cited by 4
HUC-MSCs combined with platelet lysate treat diabetic chronic cutaneous ulcers in Bama miniature pig
Gao, Y., Chen, L., Li, Y., Sun, S., & Ran, X. (2024) · Regenerative Therapy · doi:10.1016/j.reth.2024.11.005 · Cited by 3
Using nephropathy as an outcome to determine the HbA1c diagnostic threshold for type 2 diabetes
Butler, A. E., Hunt, S. C., & Kilpatrick, E. S. (2024) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2024.103005 · Cited by 3
Prediabetes in South Indian rural adolescent school students.
Taranikanti, M., Panda, S., Sukanya, M., Swamy, P. N., Khan, M. S. A., & Tabassum, H. (2014) · PubMed · Cited by 3
Cooper, T. T., & Hess, D. A. (2016) · Endocrinology · doi:10.1210/en.2016-1061 · Cited by 2
Early Diagnosis of Diabetes Mellitus
Son, H. S. (2008) · Journal of Korean Medical Association · doi:10.5124/jkma.2008.51.9.813 · Cited by 3
Davidson, M. B. (2005) · Current Opinion in Internal Medicine · doi:10.1097/01.med.0000184296.15069.93 · Cited by 3
The adequacy of current diagnostic criteria for diabetes
Shankar, R. R., Kirkman, M. S., & Baron, A. (2001) · Current Opinion in Endocrinology & Diabetes · doi:10.1097/00060793-200104000-00006 · Cited by 3
CHKHEIDZE, N., Giorgadze, E., NIKOLAISHVILI, M., & MALAZONIA, A. (2022) · Open Access Macedonian Journal of Medical Sciences · doi:10.3889/oamjms.2022.9768 · Cited by 2
Use of survey and clinical data for screening and diagnosis
Chetty, V. K., & Zellner, B. B. (2007) · Statistics in Medicine · doi:10.1002/sim.2792 · Cited by 2
Combined Therapy in Dyslipidemia and Hyperglicemia of Diabetes Mellitus Type II
Sulaiman, A. S., Zaki, N. F., & Gillani, S. W. (2010) · Clinical Medicine Insights Therapeutics · doi:10.4137/cmt.s5220 · Cited by 2
Diagnostic criteria for diabetes in China: are we pushing too much beyond evidence?
Ma, X., Zhang, Y., Ji, Q., Xing, Y., Pan, H., Chen, S., Tang, J.-L., & Zhu, S. (2017) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2017.51 · Cited by 2
Goodrich, J. A., Frisco, D. J., Ryan, S. P. P., Newman, A. A., Trikha, S. R. J., Braun, B., Bell, C., & Byrnes, W. C. (2020) · Experimental Physiology · doi:10.1113/ep088329 · Cited by 2
Cha, S., Chon, S., Yun, J., Rhee, S. Y., Lim, S., Yoon, K., Ahn, Y., Ko, S., Woo, J., & Lee, J. (2020) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3324 · Cited by 2
Gutiérrez, S. (2001) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 2
Effect Of The New Diagnostic Criteria For Diabetes In The Mexico City Study
Lerman‐Garber, I., Zamora‐González, J., Hernández‐Ono, A., Cardoso-Saldaña, G. C., Posadas‐Romero, C., & Yamamoto-Kimura, L. T. (1999) · Endocrine Practice · doi:10.4158/ep.5.4.179 · Cited by 2
COGNITIVE FUNCTION IN GLUCOSE INTOLERANCE IN THE ELDERLY: THE ROLE OF HYPERINSULINEMIA
Vanhanen, M., Yliopisto, K., & Yliopisto, J. (2009) · Cited by 2
Peters, A. L. (2000) · Current Opinion in Endocrinology & Diabetes · doi:10.1097/00060793-200002000-00005 · Cited by 2
Curriculum Vitae Personal Data
Selmeczi, D. (2008) · Cited by 2
The Role of Hemoglobin A1C in Diabetes Screening and Diabetic Retinopathy
Villacreses, M. M. C., Karnchanasorn, R., Ou, H., Samoa, R. A., Chuang, L., & Chiu, K. C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10214947 · Cited by 1
Taschereau, A., Wong, J., Harnois‐Leblanc, S., Brunet, M. A., Doyon, M., Arguin, M., Rifas‐Shiman, S. L., Oken, E., Perron, P., Jacques, P., et al. (2026) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s590000 · Cited by 2
Efectividad del control de fondo de ojo en pacientes con diabetes e hipertensión
Fernández, I. F., Ruiz-Aragón, J., & de la Pisa, B. P. (2007) · FMC - Formación Médica Continuada en Atención Primaria · doi:10.1016/s1134-2072(07)71601-8 · Cited by 1
Ahmed, A. D., Elnour, A. A., Yousif, M. A. E., Farah, F. H., Osman, H. A. A. A., & Abasaeed, A. (2013) · Pharmacology & Pharmacy · doi:10.4236/pp.2013.49098 · Cited by 1
Hemoglobina glicosilada A1c como criterio diagnóstico de diabetes y pre-diabetes
Alfonso, P. D., Gabriela, M., & Sanzana, G. (2011) · Cited by 1
Mv, L. (2017) · Endocrinology&Metabolism International Journal · doi:10.15406/emij.2017.04.00103 · Cited by 1
Statistical Analysis Of Diagnosed Hypertensive And Non-Hypertensive Diabetic Patients.
Nyarko, P. K., Nyarko, C. C., Appiah, R. E., & .Dwamena, H. A. (2014) · International journal of scientific and technology research · Cited by 1
Revised Glycemic Index for Diagnosing and Monitoring of Diabetes Mellitus in South Indian Population
Khan, R., Surya, J., Agarwal, R., Sharma, T., & Raman, R. (2022) · Cureus · doi:10.7759/cureus.22510 · Cited by 1
Bashir, M. I., Wani, A. I., & Masoodi, S. R. (2011) · J Med Sci · doi:10.33883/jms.v14i1.62 · Cited by 1
Dankner, R. S., & Roth, J. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3314-9_6 · Cited by 2
Correlation of blood sugar and HbA1C levels in different stage of diabetes retinopathy
Kant, D., Kumari, J., & Singh, R. K. (2022) · International Journal of Health Sciences · doi:10.53730/ijhs.v6ns6.9909 · Cited by 1
Development and validation of a nomogram for assessing risk of isolated high 2-hour plasma glucose
Sun, K., Xiao, X., You, L., Hong, X., Lin, D., Liu, Y., Huang, C., Wang, G., Li, F., Sun, C., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.943750 · Cited by 1
A Review: Assessment of Hba1c as A Diagnostic Tool in Diabetes Mellitus
AshiqurRahman, M., Islam, S. T., Al-AminHossen, M., Mia, M., & Ferdous, K. (2023) · Molecular Mechanism Research · doi:10.59429/mmr.v1i1.136 · Cited by 2
Bynoe, K. M., Wang, J., & Sachdeva, M. M. (2024) · Eye · doi:10.1038/s41433-024-03227-6 · Cited by 1
THE EFFECT OF THE CHANGE IN THE DEFINITION OF TYPE 2 DIABETES ON PATIENT DEMOGRAPHICS
Tildesley, H. D., Wise, J. S., Mazanderani, A. B., Aydın, Ç., Fraser, T., & Yu, E. (2009) · Cited by 1
Kozela, M., Polak, M., Doryńska, A., Borowiec, A. A., Bielecki, W., Kozakiewicz, K., Tykarski, A., Zdrojewski, T. R., Drygas, W., & Pająk, A. (2018) · Kardiologia Polska · doi:10.5603/kp.a2018.0176 · Cited by 1
Maryam, M., Mirzahosseini-pourranjbar, A., Zahra, B. H., Dini, A., Maryam, A., Ali, S., Mahmoodi, M., Azin, M., Sakineh, K. F. P., & Khanamani, F. S. (2019) · doi:10.22123/phj.2020.217351.1051 · Cited by 1
Atherosclerosis in 64-year-old women with diabetes mellitus and impaired glucose tolerance
Brohall, G. (2007) · Cited by 1
Parmasad, V. (2019) · cIRcle (University of British Columbia) · doi:10.14288/1.0376083 · Cited by 1
Diagnostic Criteria and Classification of Diabetes
Myers, J. M. B., & Zonszein, J. (2004) · Springer eBooks · doi:10.1007/978-1-4757-6260-0_5 · Cited by 1
Classification, epidemiology, diagnosis, and risk factors of diabetes
Curtis, J. M., & Knowler, W. C. (2014) · Wiley eBooks · doi:10.1002/9781118887837.ch2
Mercer, N. (2006) · El Servicio de Difusión de la Creación Intelectual (National University of La Plata) · doi:10.35537/10915/2318
Sollitari, L. H. (2014) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.5.2014.tde-29102014-144649
Do we Know How to Diagnose Diabetes and do we Need to Screen for the Disease?
Shaw, J. E., & Zimmet, P. (2001) · doi:10.1002/9780470757109.ch1
Définitions et classifications des états diabétiques
Monnier, L., & Colette, C. (2014) · Elsevier eBooks · doi:10.1016/b978-2-294-73954-5.00003-2
Is Prediabetes a Risk Factor or is it a Disease?
Muthusamy, K., & Vella, A. V. (2011) · Wiley eBooks · doi:10.1002/9781444340280.ch1
The Role of Glycemia in Diabetic Complications
Amiel, S. A. (2004) · Wiley eBooks · doi:10.1002/0470862092.d0902
Tyrberg, M. (2010) · Lund University Publications (Lund University)
Herman, W. H., & Engelgau, M. M. (2001) · Diabetes Care · doi:10.2337/diacare.24.2.415
Self-citationHiltunen, L. A., & Keinanen-Kiukaanniemi, S. M. (2000) · Scandinavian Journal of Public Health · doi:10.1177/14034948000280040901
Inequity of diagnosis of diabetes by plasma glucose and HbA1c
Saiedullah, M., Rahman, M., & Khan, M. (1970) · Bangladesh Journal of Medical Science · doi:10.3329/bjms.v10i4.9502
Guiding diabetes screening and prevention: rationale, recommendations and remaining challenges
Aroda, V. R., & Getaneh, A. (2015) · Expert Review of Endocrinology & Metabolism · doi:10.1586/17446651.2015.1054280
Springhorn, C. (2012) · SUNScholar (Stellenbosch University)
Khurshid, R., & Raana, G. E. (2014) · Journal of Diabetology · doi:10.4103/2078-7685.198296
Expiration, C., & Singh, S. (2015)
Mesquita, E. T., Junior, C. V. S., de Suplemento, Guimarães, J. I., Liberman, B., Mansur, A. J., Sousa, A. G. M. R., Sposito, A. C., Rassi, A., Lopes, A. A., et al. (2005)
de Cardiologia, S. B., Simão, A. F. L., Cunha, V., Guimarães, C., Brandão, A. P., Brandão, A. A., Nogueira, A. D. R., Suplicy, H., & Guimarães, J. I. (2005)
Définitions et classifications des états diabétiques
Monnier, L., & Colette, C. (2010) · Elsevier eBooks · doi:10.1016/b978-2-294-70868-8.50003-7
III. Diagnosis and Epidemiology of Diabetes Chapter 1. Diagnostic Classification of Diabetes
Myers, J. M. B., & Zonszein, J. (2004)
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