1. Rotimi, CN, Cooper, RA, Okosun, IS, et al: Prevalence of diabetes and impaired glucose tolerance in Nigerians, Jamaicans and US blacks. Ethu Dis 2004;9:190–200.
Google Scholar2. Sobngwi, E, Mauvais-Jarvis, F, Vexian, P, Mbanya, JC, Gautier, JR: Diabetes in Africa. Diabetes Metab Paris 2001;27:628–634.
Google Scholar | Medline | ISI3. Gwatkin, DR, Guilot, M, Heuveline, P: The burden of disease among the global poor. Lancet 1978;354:586–589.
Google Scholar | Crossref4. Victor, AA : Optic nerve changes in diabetic retinopathy, in Ferreri, FM (ed): Optic Nerve. London, England, IntechOpen, 2018; 85–103. doi:10.5772/intechopen.81221.
Google Scholar | Crossref5. Udoh, BE, Archibong, BE, Egong, AE: Sonographic assessment of heel pad thickness in patients with poorly controlled Diabetes. J Diagnos Med Sonograph 2019;35:374–379.
Google Scholar | SAGE Journals | ISI6. Uloko, AE, Musa, BM, Ramalan, MA, et al: Prevalence and risk factors for diabetes mellitus in Nigeria: a systematic review and meta-analysis. Diabetes Ther 2018;9(3):1307–1316.
Google Scholar | Crossref | Medline7. Mendonca, HR, Carpi-Santos, R, da Costa Calaza, K, Blanco Martinez, AM: Neuroinflammation and oxidative stress act in concert to promote neurodegeneration in the diabetic retina and optic nerve: galectin-3 participation. Neural Regen Res 2020;15(4):625–635.
Google Scholar | Crossref | Medline8. Milan, AO, Cox, M, Mirino, CM, Fernandez, AR, Rivera, YP: Cerebral edema during the management of diabetic ketoacidosis in an adult with new onset diabetes mellitus. Rev Cuba Med Intensiv Emerg 2017;16:57–63.
Google Scholar9. Bergmann, K, Milner, DM, Voulgaropoulos, C, Cutler, GJ, Kharbanda, AB: Optic nerve sheath diameter measurement during diabetic ketoacidosis: a pilot study. West J Emerg Med 2016;17(5):531–541.
Google Scholar | Crossref | Medline10. Eda, D, Nalan, K, Mustafa, A: The measurement of ultrasonographic optic nerve sheath diameter in patients with hyperglycemia [published online ahead of print December 3, 2019]. Hong Kong J Emerg Med. doi:10.1177/1024907919892161.
Google Scholar | Crossref11. Shiva Raj, K : Diabetes mellitus and glycosylated hemoglobin A1c. Nepalese Med J 2018;1:112–117.
Google Scholar | Crossref12. Udoh, BE, Ezeokpo, BC, Agwu, KK, Okpala, O: Effects of type two diabetes mellitus on the plantar aponerosis of Nigerians. World J Med Sci 2010;5:81–84.
Google Scholar13. Wild, S, Roglic, G, Green, A, Sicree, R, King, H: Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27:1047–1053.
Google Scholar | Crossref | Medline | ISI14. Roglic, G, Unwin, N, Bennett, PH, et al: The burden of mortality attributable to diabetes: realistic estimates for the year 2000. Diabetes Care 2005;28:2130–2135.
Google Scholar | Crossref | Medline | ISI15. Wong, TY, Cheung, N, Tay, WT, et al: Prevalence and risk factors for diabetic retinopathy: the Singapore Malay Eye Study. Ophthalmology 2008;115(11):1869–1875.
Google Scholar | Crossref | Medline | ISI16. Cetin, EN, Bulgu, Y, Ozdemir, S, et al: Association of serum lipid levels with diabetic retinopathy. Int J Ophthalmol 2013;6:346–349.
Google Scholar | Medline17. Kirigia, JM, Sambo, HB, Sambo, LG, Barry, SP: Economic burden of diabetes mellitus in the WHO African region. BMC Int Health Hum Rights 2019;9:6.
Google Scholar | Crossref18. Osman, SAE, Ayad, CE, Abdu, DA: Impact of diabetes on optic nerve and optic nerve sheath measurement: MRI based study. IOSR J Dent Med Sci 2018;17(7):40–44.
Google Scholar19. Stedman, TL : Stedman Medical Dictionary. 27th ed. Baltimore, MD, Lippincott Williams & Wilkins, 1999, p 1199.
Google Scholar20. Hua, R, Qu, L, Ma, B, Yang, P, Sun, H, Liu, L: Diabetic optic neuropathy and its risk factors in Chinese patients with diabetic retinopathy. Invest Ophthalmol Vis Sci 2019;60:3514–3519.
Google Scholar | Crossref | Medline21. Barber, AJ, Gardner, TW, Abcouwer, SF: The significance of vascular and neural apoptosis to the pathology of diabetic retinopathy. Invest Ophthalmol Vis Sci 2011;52(2):1156–1163.
Google Scholar | Crossref | Medline22. Gregori, B, Galié, E, Pro, S, Clementi, A, Accornero, N: Luminance and chromatic visual evoked potentials in type I and type II diabetes: relationships with peripheral neuropathy. Neurol Sci 2006;27:323–327.
Google Scholar | Crossref | Medline23. Wu, L, Fernandez-Loaiza, P, Sauma, J, Hernandez-Bogantes, E, Masis, M: Classification of diabetic retinopathy and diabetic macular edema. World J Diabetes 2013;4(6):290–294.
Google Scholar | Crossref | Medline24. Skillern, PG, Lockhart, G: Optic neuritis and uncontrolled diabetes mellitus in 14 patients. Ann Intern Med 1959;51:468–475.
Google Scholar | Crossref | Medline25. Montgomery, TM : The optic nerve, in Anatomy, Physiology & Pathology of the Human Eye, 2012. https://www.tedmontgomery.com/the_eye/.
Google Scholar26. Femlak, M, Gluba-Brzózka, A, Ciałkowska-Rysz, A, Rysz, J: The role and function of HDL in patients with diabetes mellitus and the related cardiovascular risk. Lipids Health Dis 2017;16:207.
Google Scholar | Crossref | Medline27. Sacks, DB, Arnold, M, Bakris, GL, et al: Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus. Clin Chem 2011;57:e1–e47.
Google Scholar | Crossref | Medline | ISI28. Hirano, M, Nakanishi, S, Kubota, M, et al: Low high-density lipoprotein cholesterol level is a significant risk factor for development of type 2 diabetes: data from the Hawaii-Los Angeles-Hiroshima study. J Diabetes Investig 2014;5(5):501–506.
Google Scholar | Crossref | Medline29. Boekholdt, SM, Arsenault, BJ, Hovingh, GK, et al: Levels and changes of HDL cholesterol and apolipoprotein A-I in relation to risk of cardiovascular events among statin-treated patients: a meta-analysis. Circulation 2013;128:1504–1512.
Google Scholar | Crossref | Medline | ISI30. Tabara, Y, Arai, H, Hirao, Y, et al: Different inverse association of large high-density lipoprotein subclasses with exacerbation of insulin resistance and incidence of type 2 diabetes: the Nagahama study. Diabetes Res Clin Pract 2017;127:123–131.
Google Scholar | Crossref | Medline31. Casagrande, SS, Fradkin, JE, Saydah, SH, Rust, KF, Cowie, CC: The prevalence of meeting A1C, blood pressure, and LDL goals among people with diabetes, 1988-2010. Diabetes Care 2013;36(8):2271–2279.
Google Scholar | Crossref | Medline | ISI32. Razi, F, Forouzanfar, K, Bandarian, F, Nasli-Esfahani, E: LDL-cholesterol measurement in diabetic type 2 patients: a comparison between direct assay and popular equations. J Diabetes Metab Disord 2017;16:43.
Google Scholar | Crossref | Medline33. Keane, WF, Brenner, BM, de Zeeuw, D, et al: The risk of developing end-stage renal disease in patients with type 2 diabetes and nephropathy: the RENAAL study. Kidney Int 2003;63:1499–1507.
Google Scholar | Crossref | Medline | ISI34. Ibsen, H, Wachtell, K, Olsen, MH, et al: Does albuminuria predict cardiovascular outcome on treatment with losartan versus atenolol in hypertension with left ventricular hypertrophy? a LIFE substudy. J Hypertens 2004;22(9):1805–1811.
Google Scholar | Crossref | Medline35. Nathan, DM, Genuth, S, Lachin, J, et al; Diabetes Control and Complications Trial Research Group : The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Eng J Med 1993;329(14):977–986.
Google Scholar | Crossref | Medline36. UK Prospective Diabetes Study (UKPDS) Group : Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet 1998;352(9131):837–853.
Google Scholar | Crossref | Medline | ISI37. Sherwin, RS : Diabetes mellitus, in Goldman, B (ed): Cecil Textbook of Medicine. 21st ed. Vol 2. Philadelphia, PA, W. B. Saunders, 2000, pp 1263–1285.
Google Scholar