The unmet need for better risk stratification of non‐proliferative diabetic retinopathy
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[1] P. Royle,et al. Pan-retinal photocoagulation and other forms of laser treatment and drug therapies for non-proliferative diabetic retinopathy: systematic review and economic evaluation. , 2015, Health technology assessment.
[2] J. Olson,et al. Modelling the cost‐effectiveness of adopting risk‐stratified approaches to extended screening intervals in the national diabetic retinopathy screening programme in Scotland , 2016, Diabetic medicine : a journal of the British Diabetic Association.
[3] S. Feman. The natural history of the first clinically visible features of diabetic retinopathy. , 1994, Transactions of the American Ophthalmological Society.
[4] External validation of a risk assessment model to adjust the frequency of eye-screening visits in patients with diabetes mellitus. , 2015, Journal of diabetes and its complications.
[5] G. Nijpels,et al. Validation of a model to estimate personalised screening frequency to monitor diabetic retinopathy , 2014, Diabetologia.
[6] K. Shimizu,et al. Intraretinal neovascularization in diabetic retinopathy. , 1984, Ophthalmology.
[7] Feman Ss. The natural history of the first clinically visible features of diabetic retinopathy. , 1994 .
[8] H. Ahsan. Diabetic retinopathy--biomolecules and multiple pathophysiology. , 2015, Diabetes & metabolic syndrome.
[9] Xiaodan Jiang,et al. Risk factors of diabetic retinopathy and sight-threatening diabetic retinopathy: a cross-sectional study of 13 473 patients with type 2 diabetes mellitus in mainland China , 2017, BMJ Open.
[10] Jonathan Krause,et al. Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy , 2017, Ophthalmology.
[11] Toco Y P Chui,et al. Classification of human retinal microaneurysms using adaptive optics scanning light ophthalmoscope fluorescein angiography. , 2014, Investigative ophthalmology & visual science.
[12] Grading diabetic retinopathy from stereoscopic color fundus photographs--an extension of the modified Airlie House classification. ETDRS report number 10. Early Treatment Diabetic Retinopathy Study Research Group. , 1991, Ophthalmology.
[13] Toke Bek,et al. The relationships between risk factors and the distribution of retinopathy lesions in type 2 diabetes. , 2006, Acta ophthalmologica Scandinavica.
[14] D. Lackland,et al. Diabetic retinopathy and serum lipoprotein subclasses in the DCCT/EDIC cohort. , 2004, Investigative ophthalmology & visual science.
[15] Stephen J. Aldington,et al. Risks of progression of retinopathy and vision loss related to tight blood pressure control in type 2 diabetes mellitus: UKPDS 69. , 2004, Archives of ophthalmology.
[16] Matthew D. Davis,et al. Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales. , 2003, Ophthalmology.
[17] Armin Wolf,et al. Microaneurysm Turnover in Diabetic Retinopathy Assessed by Automated RetmarkerDR Image Analysis - Potential Role as Biomarker of Response to Ranibizumab Treatment , 2014, Ophthalmologica.
[18] Aaron Y. Lee,et al. The United Kingdom Diabetic Retinopathy Electronic Medical Record Users Group: Report 3: Baseline Retinopathy and Clinical Features Predict Progression of Diabetic Retinopathy. , 2017, American journal of ophthalmology.
[19] Fundus photographic risk factors for progression of diabetic retinopathy. ETDRS report number 12. Early Treatment Diabetic Retinopathy Study Research Group. , 1991, Ophthalmology.
[20] Subhashini Venugopalan,et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. , 2016, JAMA.
[21] P. Scanlon. The English National Screening Programme for diabetic retinopathy 2003–2016 , 2017, Acta Diabetologica.
[22] Tien Yin Wong,et al. Quantitative measurement of hard exudates in patients with diabetes and their associations with serum lipid levels. , 2013, Investigative ophthalmology & visual science.
[23] M. Abràmoff,et al. Validation of automated screening for referable diabetic retinopathy with the IDx‐DR device in the Hoorn Diabetes Care System , 2017, Acta ophthalmologica.
[24] Tien Yin Wong,et al. Diabetic retinopathy , 2010, The Lancet.
[25] J. G. O'shea,et al. Diabetic retinopathy. , 1995, Postgraduate medical journal.
[26] E M Kohner,et al. The effect of experimental hypertension on retinal vascular autoregulation in humans: a mechanism for the progression of diabetic retinopathy , 1995, Experimental physiology.
[27] T. Bek. Fine structure in diabetic retinopathy lesions as observed by adaptive optics imaging. A qualitative study , 2014, Acta ophthalmologica.
[28] A. Keech,et al. Biomarkers in Diabetic Retinopathy. , 2015, The review of diabetic studies : RDS.
[29] J. Cunha-Vaz,et al. Diabetic Retinopathy Phenotypes of Progression to Macular Edema: Pooled Analysis From Independent Longitudinal Studies of up to 2 Years' Duration. , 2017, Investigative ophthalmology & visual science.
[30] M. L. Rasmussen,et al. Microaneurysm count as a predictor of long-term progression in diabetic retinopathy in young patients with type 1 diabetes: the Danish Cohort of Pediatric Diabetes 1987 (DCPD1987) , 2014, Graefe's Archive for Clinical and Experimental Ophthalmology.
[31] F. Wen,et al. Venous beading in two or more quadrants might not be a sensitive grading criterion for severe nonproliferative diabetic retinopathy , 2018, Graefe's Archive for Clinical and Experimental Ophthalmology.
[32] Stephen J. Aldington,et al. Functional and Structural Findings of Neurodegeneration in Early Stages of Diabetic Retinopathy: Cross-sectional Analyses of Baseline Data of the EUROCONDOR Project , 2017, Diabetes.
[33] Jennifer K. Sun,et al. Peripheral Lesions Identified on Ultrawide Field Imaging Predict Increased Risk of Diabetic Retinopathy Progression over 4 Years. , 2015, Ophthalmology.
[34] Matthew D. Davis,et al. Comparison of digital and film grading of diabetic retinopathy severity in the diabetes control and complications trial/epidemiology of diabetes interventions and complications study. , 2011, Archives of ophthalmology.
[35] Jennifer K. Sun,et al. Side-Effects and Complications of Laser Treatment in Diabetic Retinal Disease , 2014, Seminars in ophthalmology.
[36] T. Wong,et al. Retinal vessel diameter as a clinical predictor of diabetic retinopathy progression: time to take out the measuring tape. , 2011, Archives of ophthalmology.
[37] P F Sharp,et al. Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland , 2007, British Journal of Ophthalmology.
[38] Dawn A Sim,et al. Automated Retinal Image Analysis for Diabetic Retinopathy in Telemedicine , 2015, Current Diabetes Reports.
[39] Ihsan Ul Haq,et al. Automated System for Referral of Cotton-Wool Spots. , 2018, Current diabetes reviews.
[40] E. Stefánsson,et al. Individualised risk assessment for diabetic retinopathy and optimisation of screening intervals: a scientific approach to reducing healthcare costs , 2015, British Journal of Ophthalmology.
[41] T Bek,et al. The regional distribution of diabetic retinopathy lesions may reflect risk factors for progression of the disease. , 2001, Acta ophthalmologica Scandinavica.
[42] E. Stefánsson,et al. Individual risk assessment and information technology to optimise screening frequency for diabetic retinopathy , 2011, Diabetologia.
[43] A. Kampik,et al. Correlation of leaking microaneurysms with retinal thickening in diabetic retinopathy. , 2011, International journal of ophthalmology.
[44] T. Curtis,et al. Microvascular lesions of diabetic retinopathy: clues towards understanding pathogenesis? , 2009, Eye.