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For: Tapp RJ, Tikellis G, Wong TY, Harper CA, Zimmet PZ, Shaw JE. Longitudinal association of glucose metabolism with retinopathy: results from the Australian Diabetes Obesity and Lifestyle (AusDiab) study. Diabetes Care. 2008;31:1349-1354. [PMID: 18411241 DOI: 10.2337/dc07-1707] [Cited by in Crossref: 71] [Cited by in F6Publishing: 76] [Article Influence: 5.1] [Reference Citation Analysis]
Number Citing Articles
1 Kwon T, Kim K. Machine-Learning-Based Noninvasive In Vivo Estimation of HbA1c Using Photoplethysmography Signals. Sensors 2022;22:2963. [DOI: 10.3390/s22082963] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Shi G, Zhu N, Qiu L, Yan H, Zeng L, Wang D, Dang S, Li Z, Kang Y, Chen T, Li C. Impact of the 2020 China Diabetes Society Guideline on the Prevalence of Diabetes Mellitus and Eligibility for Antidiabetic Treatment in China. Int J Gen Med 2021;14:6639-45. [PMID: 34675626 DOI: 10.2147/IJGM.S331948] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
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4 Roy Chowdhury S, Thomas RL, Dunseath GJ, Luzio SD, Wong FS, Owens DR. Incidence of diabetic retinopathy in newly diagnosed subjects with type 2 diabetes mellitus over 5 years: Contribution of Β-cell function. J Diabetes Complications 2021;:108028. [PMID: 34507878 DOI: 10.1016/j.jdiacomp.2021.108028] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Li W, Wang A, Jiang J, Liu G, Wang M, Li D, Wen J, Mu Y, Du X, Gaisano H, Dou J, He Y. Risk of chronic kidney disease defined by decreased estimated glomerular filtration rate in individuals with different prediabetic phenotypes: results from a prospective cohort study in China. BMJ Open Diabetes Res Care 2020;8:e000955. [PMID: 32245825 DOI: 10.1136/bmjdrc-2019-000955] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
6 Hossain S, Gupta SS, Kwon TH, Kim KD. Derivation and validation of gray-box models to estimate noninvasive in-vivo percentage glycated hemoglobin using digital volume pulse waveform. Sci Rep 2021;11:12169. [PMID: 34108531 DOI: 10.1038/s41598-021-91527-2] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
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8 Wen J, Wang A, Liu G, Wang M, Zuo Y, Li W, Zhai Q, Mu Y, Gaisano HY, He Y, Dou J. Elevated triglyceride-glucose (TyG) index predicts incidence of Prediabetes: a prospective cohort study in China. Lipids Health Dis 2020;19:226. [PMID: 33059672 DOI: 10.1186/s12944-020-01401-9] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 7.0] [Reference Citation Analysis]
9 Gabriel R, Boukichou Abdelkader N, Acosta T, Gilis-Januszewska A, Gómez-Huelgas R, Makrilakis K, Kamenov Z, Paulweber B, Satman I, Djordjevic P, Alkandari A, Mitrakou A, Lalic N, Colagiuri S, Lindström J, Egido J, Natali A, Pastor JC, Teuschl Y, Lind M, Silva L, López-Ridaura R, Tuomilehto J; e-PREDICE Consortium. Early prevention of diabetes microvascular complications in people with hyperglycaemia in Europe. ePREDICE randomized trial. Study protocol, recruitment and selected baseline data. PLoS One 2020;15:e0231196. [PMID: 32282852 DOI: 10.1371/journal.pone.0231196] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 9.0] [Reference Citation Analysis]
10 Wen J, Cai X, Zhang J, Jiang J, Li W, Liu G, Wang M, Gaisano HY, Pan Y, He Y. Relation of adipose tissue insulin resistance to prediabetes. Endocrine 2020;68:93-102. [PMID: 31925734 DOI: 10.1007/s12020-020-02186-8] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
11 Dai G, Zhang C, He W. Screening of Diabetes and Hypertension Based on Retinal Fundus Photographs Using Deep Learning.. [DOI: 10.1101/2019.12.13.19013904] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
12 Delyfer M, Delcourt C. Épidémiologie de la rétinopathie diabétique dans les données internationales et françaises. Médecine des Maladies Métaboliques 2018;12:553-558. [DOI: 10.1016/s1957-2557(18)30149-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
13 Assaad Khalil SH, Megallaa MH, Rohoma KH, Ismael H, AbouSeif M, Kharboush I, Elkaffash D, Hassanein M, Abdel Wahab MM, Malaty A, Sallam H. Prevalence of type 2 diabetes mellitus in a sample of the adult population of Alexandria, Egypt. Diabetes Res Clin Pract 2018;144:63-73. [PMID: 30056190 DOI: 10.1016/j.diabres.2018.07.025] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
14 Li Y, Liu C, Wan XS, Li SW. NLRP1 deficiency attenuates diabetic retinopathy (DR) in mice through suppressing inflammation response. Biochem Biophys Res Commun 2018;501:351-7. [PMID: 29571734 DOI: 10.1016/j.bbrc.2018.03.148] [Cited by in Crossref: 19] [Cited by in F6Publishing: 22] [Article Influence: 4.8] [Reference Citation Analysis]
15 Taboza ZA, Costa KL, Silveira VR, Furlaneto FA, Montenegro R, Russell S, Dasanayake A, Rego RO. Periodontitis, edentulism and glycemic control in patients with type 2 diabetes: a cross-sectional study. BMJ Open Diabetes Res Care. 2018;6:e000453. [PMID: 29607049 DOI: 10.1136/bmjdrc-2017-000453] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 4.5] [Reference Citation Analysis]
16 Ding L, Xu Y, Liu S, Bi Y, Xu Y. Hemoglobin A1c and diagnosis of diabetes. J Diabetes 2018;10:365-72. [PMID: 29292842 DOI: 10.1111/1753-0407.12640] [Cited by in Crossref: 12] [Cited by in F6Publishing: 15] [Article Influence: 3.0] [Reference Citation Analysis]
17 Meijnikman AS, De Block CEM, Dirinck E, Verrijken A, Mertens I, Corthouts B, Van Gaal LF. Not performing an OGTT results in significant underdiagnosis of (pre)diabetes in a high risk adult Caucasian population. Int J Obes (Lond) 2017;41:1615-20. [PMID: 28720876 DOI: 10.1038/ijo.2017.165] [Cited by in Crossref: 45] [Cited by in F6Publishing: 49] [Article Influence: 9.0] [Reference Citation Analysis]
18 Nakagami T, Takahashi K, Suto C, Oya J, Tanaka Y, Kurita M, Isago C, Hasegawa Y, Ito A, Uchigata Y. Diabetes diagnostic thresholds of the glycated hemoglobin A1c and fasting plasma glucose levels considering the 5-year incidence of retinopathy. Diabetes Research and Clinical Practice 2017;124:20-9. [DOI: 10.1016/j.diabres.2016.12.013] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 3.0] [Reference Citation Analysis]
19 Yazgan S, Arpaci D, Celik HU, Dogan M, Isık I. Macular Choroidal Thickness May Be the Earliest Determiner to Detect the Onset of Diabetic Retinopathy in Patients with Prediabetes: A Prospective and Comparative Study. Curr Eye Res 2017;42:1039-47. [PMID: 28121176 DOI: 10.1080/02713683.2016.1264606] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 1.8] [Reference Citation Analysis]
20 Zhu B, Bu L, Zhang M, Gusdon AM, Zheng L, Rampersad S, Li J, Qu S. HbA1c as a Screening tool for Ketosis in Patients with Type 2 Diabetes Mellitus. Sci Rep 2016;6:39687. [PMID: 28009017 DOI: 10.1038/srep39687] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
21 Karnchanasorn R, Huang J, Ou HY, Feng W, Chuang LM, Chiu KC, Samoa R. Comparison of the Current Diagnostic Criterion of HbA1c with Fasting and 2-Hour Plasma Glucose Concentration. J Diabetes Res 2016;2016:6195494. [PMID: 27597979 DOI: 10.1155/2016/6195494] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 3.7] [Reference Citation Analysis]
22 Jonas JB, Xu L, Xu J, Wei WB, Wang YX. Prevalence of Diabetic Retinopathy and Vision Loss in the Beijing Eye Study: the Potential Role of the Cerebrospinal Fluid Pressure. Curr Diab Rep 2015;15:71. [PMID: 26275444 DOI: 10.1007/s11892-015-0649-7] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.2] [Reference Citation Analysis]
23 Jia W. Standardising HbA1c-based diabetes diagnosis: opportunities and challenges. Expert Rev Mol Diagn. 2016;16:343-355. [PMID: 26680319 DOI: 10.1586/14737159.2016.1133299] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 2.8] [Reference Citation Analysis]
24 Hussain N. Implications of using HBA1C as a diagnostic marker for diabetes. Diabetol Int 2016;7:18-24. [PMID: 30603239 DOI: 10.1007/s13340-015-0244-9] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.6] [Reference Citation Analysis]
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26 Umesh SK, Ferreira AMA. Assessment of metabolic control among the diabetics seeking care in primary care set-ups in Goa, India. Int J Diabetes Dev Ctries 2015;35:351-355. [DOI: 10.1007/s13410-014-0282-z] [Reference Citation Analysis]
27 Venkataraman H, Sattar N, Saravanan P. Postnatal testing following gestational diabetes: time to replace the oral glucose tolerance test? Lancet Diabetes Endocrinol 2015;3:754-6. [PMID: 26184672 DOI: 10.1016/S2213-8587(15)00232-6] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 2.4] [Reference Citation Analysis]
28 Aroda VR, Getaneh A. Guiding diabetes screening and prevention: rationale, recommendations and remaining challenges. Expert Rev Endocrinol Metab 2015;10:381-98. [PMID: 30293496 DOI: 10.1586/17446651.2015.1054280] [Reference Citation Analysis]
29 Bansal N. Prediabetes diagnosis and treatment: A review. World J Diabetes 2015; 6(2): 296-303 [PMID: 25789110 DOI: 10.4239/wjd.v6.i2.296] [Cited by in CrossRef: 242] [Cited by in F6Publishing: 256] [Article Influence: 34.6] [Reference Citation Analysis]
30 Bae MH, Park CH, Cho YS, Joo KJ, Kwon CH, Park HJ. Effects of Diabetes Mellitus and HbA1c on Treatment Prognosis in Uncomplicated Acute Pyelonephritis. Korean J Urogenit Tract Infect Inflamm 2015;10:41. [DOI: 10.14777/kjutii.2015.10.1.41] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
31 Franco L, Dal Fabbro A, Martinez E, Sartorelli D, Silva A, Soares L, Franco L, Kuhn P, Vieira-filho J, Moisés R. Performance of glycated haemoglobin (HbA1c) as a screening test for diabetes and impaired glucose tolerance (IGT) in a high risk population—The Brazilian Xavante Indians. Diabetes Research and Clinical Practice 2014;106:337-42. [DOI: 10.1016/j.diabres.2014.08.027] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 0.5] [Reference Citation Analysis]
32 Xu J, Xu L, Wang YX, You QS, Jonas JB, Wei WB. Ten-year cumulative incidence of diabetic retinopathy. The Beijing Eye Study 2001/2011. PLoS One 2014;9:e111320. [PMID: 25347072 DOI: 10.1371/journal.pone.0111320] [Cited by in Crossref: 41] [Cited by in F6Publishing: 46] [Article Influence: 5.1] [Reference Citation Analysis]
33 Diabetes Prevention Program Research Group. HbA1c as a predictor of diabetes and as an outcome in the diabetes prevention program: a randomized clinical trial. Diabetes Care 2015;38:51-8. [PMID: 25336746 DOI: 10.2337/dc14-0886] [Cited by in Crossref: 71] [Cited by in F6Publishing: 78] [Article Influence: 8.9] [Reference Citation Analysis]
34 Chan WC, Jackson G, Wright CS, Orr-Walker B, Drury PL, Boswell DR, Lee MA, Papa D, Jackson R. The future of population registers: linking routine health datasets to assess a population's current glycaemic status for quality improvement. BMJ Open 2014;4:e003975. [PMID: 24776708 DOI: 10.1136/bmjopen-2013-003975] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.0] [Reference Citation Analysis]
35 Hussain S, Qamar MR, Iqbal MA, Ahmad A, Ullah E. Risk factors of retinopathy in type 2 diabetes mellitus at a tertiary care hospital, Bahawalpur Pakistan. Pak J Med Sci 2013;29:536-9. [PMID: 24353572 DOI: 10.12669/pjms.292.3066] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.0] [Reference Citation Analysis]
36 Salinero-Fort MÁ, San Andrés-Rebollo FJ, de Burgos-Lunar C, Arrieta-Blanco FJ, Gómez-Campelo P; MADIABETES Group. Four-year incidence of diabetic retinopathy in a Spanish cohort: the MADIABETES study. PLoS One 2013;8:e76417. [PMID: 24146865 DOI: 10.1371/journal.pone.0076417] [Cited by in Crossref: 43] [Cited by in F6Publishing: 38] [Article Influence: 4.8] [Reference Citation Analysis]
37 Damsgaard L, Pedersen ML. Use of glycosylated haemoglobin as diagnostic tool in Greenland: prevalence of diagnosed diabetes mellitus. Diabetol Metab Syndr 2013;5:59. [PMID: 24172144 DOI: 10.1186/1758-5996-5-59] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 0.4] [Reference Citation Analysis]
38 Yang L, Shen X, Yan S, Yuan X, Lu J, Wei W. HbA1c in the diagnosis of diabetes and abnormal glucose tolerance in patients with Graves’ hyperthyroidism. Diabetes Research and Clinical Practice 2013;101:28-34. [DOI: 10.1016/j.diabres.2013.04.008] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 1.1] [Reference Citation Analysis]
39 Day TE, Ravi N, Xian H, Brugh A. An Agent-Based Modeling Template for a Cohort of Veterans with Diabetic Retinopathy. PLoS One 2013;8:e66812. [PMID: 23805280 DOI: 10.1371/journal.pone.0066812] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 1.4] [Reference Citation Analysis]
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41 Lee H, Oh J, Sung Y, Kim D, Kim S, Kim S, Moon S, Park I, Rhee E, Chung C, Kim B, Ku B. Optimal hemoglobin A1C Cutoff Value for Diagnosing type 2 diabetes mellitus in Korean adults. Diabetes Research and Clinical Practice 2013;99:231-6. [DOI: 10.1016/j.diabres.2012.09.030] [Cited by in Crossref: 28] [Cited by in F6Publishing: 28] [Article Influence: 3.1] [Reference Citation Analysis]
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44 Skriver MV, Støvring H, Kristensen JK, Charles M, Sandbæk A. Short-term impact of HbA1c on morbidity and all-cause mortality in people with type 2 diabetes: a Danish population-based observational study. Diabetologia 2012;55:2361-70. [PMID: 22736395 DOI: 10.1007/s00125-012-2614-1] [Cited by in Crossref: 20] [Cited by in F6Publishing: 23] [Article Influence: 2.0] [Reference Citation Analysis]
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47 Perol J, Balkau B, Guillausseau PJ, Massin P. A study of the 3-year incidence of diabetic retinopathy in a French diabetic population seen at Lariboisière Hospital, Paris. Diabetes Metab 2012;38:225-9. [PMID: 22386834 DOI: 10.1016/j.diabet.2012.01.001] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 1.1] [Reference Citation Analysis]
48 Kim JH, Kim GW, Lee MY, Shin JY, Shin YG, Koh SB, Chung CH. Role of HbA1c in the Screening of Diabetes Mellitus in a Korean Rural Community. Diabetes Metab J 2012;36:37-42. [PMID: 22363920 DOI: 10.4093/dmj.2012.36.1.37] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 1.0] [Reference Citation Analysis]
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51 Yau JW, Xie J, Lamoureux E, Klein R, Klein BE, Cotch MF, Bertoni AG, Shea S, Wong TY. Retinal microvascular calibre and risk of incident diabetes: the multi-ethnic study of atherosclerosis. Diabetes Res Clin Pract 2012;95:265-74. [PMID: 22088792 DOI: 10.1016/j.diabres.2011.10.027] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]
52 Malkani S, Mordes JP. Implications of using hemoglobin A1C for diagnosing diabetes mellitus. Am J Med. 2011;124:395-401. [PMID: 21531226 DOI: 10.1016/j.amjmed.2010.11.025] [Cited by in Crossref: 68] [Cited by in F6Publishing: 76] [Article Influence: 6.2] [Reference Citation Analysis]
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56 Choi SH, Kim TH, Lim S, Park KS, Jang HC, Cho NH. Hemoglobin A1c as a diagnostic tool for diabetes screening and new-onset diabetes prediction: a 6-year community-based prospective study. Diabetes Care 2011;34:944-9. [PMID: 21335372 DOI: 10.2337/dc10-0644] [Cited by in Crossref: 60] [Cited by in F6Publishing: 65] [Article Influence: 5.5] [Reference Citation Analysis]
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58 Yun WJ, Shin MH, Kweon SS, Park KS, Lee YH, Nam HS, Jeong SK, Yun YW, Choi JS. [A comparison of fasting glucose and HbA1c for the diagnosis of diabetes mellitus among Korean adults]. J Prev Med Public Health 2010;43:451-4. [PMID: 20959716 DOI: 10.3961/jpmph.2010.43.5.451] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 0.6] [Reference Citation Analysis]
59 Chuang SY, Yeh WT, Wu YL, Chang HY, Pan WH, Tsao CK. Prediction equations and point system derived from large-scale health check-up data for estimating diabetic risk in the Chinese population of Taiwan. Diabetes Res Clin Pract 2011;92:128-36. [PMID: 21237522 DOI: 10.1016/j.diabres.2010.12.022] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 0.9] [Reference Citation Analysis]
60 Pesant M, Baillargeon J. Clinically useful predictors of conversion to abnormal glucose tolerance in women with polycystic ovary syndrome. Fertility and Sterility 2011;95:210-5. [DOI: 10.1016/j.fertnstert.2010.06.036] [Cited by in Crossref: 20] [Cited by in F6Publishing: 22] [Article Influence: 1.8] [Reference Citation Analysis]
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