Brief Communication on Laser Treatment for Diabetic Retinopathy
DOI:
https://doi.org/10.55927/ijcs.v1i2.8261Keywords:
Diabetic Retinopathy, Laser Treatment, Vision Preservation, Ophthalmology, Disease ManagementAbstract
Diabetic retinopathy is a growing global health issue affecting 5% of the global population. With over 60,000 new cases reported annually, over 1 million individuals with diabetes are at risk of lower limb amputation. Diabetic retinopathy is diagnosed in 20% of patients with diabetes mellitus. Factors contributing to its prevalence include modern technology, sedentary lifestyles, and poor adherence to healthy practices. This article examines the negative effects of diabetic retinopathy and the need for comprehensive measures to reduce its impact. It provides insights into managing diabetic retinopathy and its impact on global health systems through research and advancements in diagnostic and treatment methods
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References
Al Shal chi, N. F. A., & Rheba, J. (2022). Human retinal optic disc detection with grasshopper optimization algorithm. Multimedia Tools and Applications, 81(17), 24937-24955.
Amrelia, P. (2020). Preproliferative and proliferative retinopathy. Diabetic Retinopathy: Screening to Treatment 2E (ODL), chapter 7, p.54-61.
Balaratnasingam, C., An, D., Hein, M., Yu, P., & Yu, D. Y. (2023). Studies of the retinal microcirculation using human donor eyes and high-resolution clinical imaging: insights gained to guide future research in diabetic retinopathy. Progress in Retinal and Eye Research, 94, 101134.
Elsharkawy, M., Sharafeldeen, A., Soliman, A., Khalifa, F., Ghazal, M., El-Daydamony, E., Atwan, A., Sandhu, H.S. & El-Baz, A. (2022). A novel computer-aided diagnostic system for early detection of diabetic retinopathy using 3D-OCT higher-order spatial appearance model. Diagnostics, 12(2), 461.
Fiorelli, S., Anesi, A., Porro, B., Cosentino, N., Werba, J.P., Di Minno, A., Manega, C.M., Barbieri, S., Colombo, G.I., Marenzi, G. & Cavalca, V. (2021). Lipidomics analysis of monocytes from patients with acute myocardial infarction reveals lactosylceramide as a new player in monocyte migration. The FASEB Journal, 35(5), e21494.
Hajee, A., & Makgotloe, M. A. (2022). An update on the management of diabetic tractional retinal detachment. African Vision and Eye Health, 81(1), 6.
Hayreh, S. S., & Hayreh, S. S. (2015). Cotton-wool spots (inner retinal ischemic spots). Ocular Vascular Occlusive Disorders, 365-377.
Kosmas, C. E., Rodriguez Polanco, S., Bousvarou, M. D., Papakonstantinou, E. J., Peña Genao, E., Guzman, E., & Kostara, C. E. (2023). The triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio as a risk marker for metabolic syndrome and cardiovascular disease. Diagnostics, 13(5), 929.
Kovoor, E., Chauhan, S. K., & Hajrasouliha, A. (2022). Role of inflammatory cells in pathophysiology and management of diabetic retinopathy. Survey of Ophthalmology, 67(6), pp. 1563-1573.
Lin, C. H., Lin, J. W., Liu, Y. C., Chang, C. H., & Wu, R. M. (2014). Risk of Parkinson's disease following severe constipation: a nationwide population-based cohort study. Parkinsonism & related disorders, 20(12), 1371-1375.
Liu, Y., Ju, Y., Cui, L., Liu, T., Hou, Y., Wu, Q., Ojo, O., Du, X. & Wang, X. (2021). Association between dietary fiber intake and incidence of depression and anxiety in patients with essential hypertension. Nutrients, 13(11), 4159.
Lumbroso, B., Rispoli, M., & Savastano, M. C. (2015). Diabetic retinopathy. JP Medical Ltd, Chapters 2-5, pp.3-35.
Sastry, A., Ryu, C., Jiang, X., & Ameri, H. (2022). Visual outcomes in eyes with neovascular glaucoma and anterior segment neovascularization without glaucoma. American Journal of Ophthalmology, 236, 1-11.
Sheng, B., Chen, X., Li, T., Ma, T., Yang, Y., Bi, L., & Zhang, X. (2022). An overview of artificial intelligence in diabetic retinopathy and other ocular diseases. Frontiers in Public Health, 10, 971943.
Stewart, M.W. (2017). The Diabetic Retina: Anatomy and Pathophysiology In: Diabetic Retinopathy. Adis, Singapore, pp. 29-72.
Su, X., & Peng, D. (2020). New insight into sortilin in controlling lipid metabolism and the risk of atherogenesis. Biological Reviews, 95(1), 232-243.
Wang, F.H., Liang, Y.B., Zhang, F., Wang, J.J., Wei, W.B., Tao, Q.S., Sun, L.P., Friedman, D.S., Wang, N.L. & Wong, T.Y. (2009). Prevalence of diabetic retinopathy in rural China: the Handan Eye Study. Ophthalmology, 116(3), 461-467.
Wang, L., Jin, L., Wang, W., Gong, X., Li, Y., Li, W., Liang, X., Huang, W. & Liu, Y. (2023). Association of renal function with diabetic retinopathy and macular oedema among Chinese patients with type 2 diabetes mellitus. Eye, 37(8),1538-1544.
Wang, M., Li, Q., Jin, M., Wang, Z., Zhang, X., Sun, X., & Luo, Y. (2022). Noncoding RNAs Are Promising Therapeutic Targets for Diabetic Retinopathy: An Updated Review (2017–2022). Biomolecules, 12(12), 1774.
Wang, Y. L., Yang, J. Y., Yang, J. Y., Zhao, X. Y., Chen, Y. X., & Yu, W. H. (2021). Progress of artificial intelligence in diabetic retinopathy screening. Diabetes/Metabolism Research and Reviews, 37(5), e3414.
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