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Journal ArticleDOI

Global Prevalence and Major Risk Factors of Diabetic Retinopathy

01 Mar 2012-Diabetes Care (American Diabetes Association)-Vol. 35, Iss: 3, pp 556-564
TL;DR: Longer diabetes duration and poorer glycemic and blood pressure control are strongly associated with DR, and these data highlight the substantial worldwide public health burden of DR and the importance of modifiable risk factors in its occurrence.
Abstract: OBJECTIVE To examine the global prevalence and major risk factors for diabetic retinopathy (DR) and vision-threatening diabetic retinopathy (VTDR) among people with diabetes. RESEARCH DESIGN AND METHODS A pooled analysis using individual participant data from population-based studies around the world was performed. A systematic literature review was conducted to identify all population-based studies in general populations or individuals with diabetes who had ascertained DR from retinal photographs. Studies provided data for DR end points, including any DR, proliferative DR, diabetic macular edema, and VTDR, and also major systemic risk factors. Pooled prevalence estimates were directly age-standardized to the 2010 World Diabetes Population aged 20–79 years. RESULTS A total of 35 studies (1980–2008) provided data from 22,896 individuals with diabetes. The overall prevalence was 34.6% (95% CI 34.5–34.8) for any DR, 6.96% (6.87–7.04) for proliferative DR, 6.81% (6.74–6.89) for diabetic macular edema, and 10.2% (10.1–10.3) for VTDR. All DR prevalence end points increased with diabetes duration, hemoglobin A 1c , and blood pressure levels and were higher in people with type 1 compared with type 2 diabetes. CONCLUSIONS There are approximately 93 million people with DR, 17 million with proliferative DR, 21 million with diabetic macular edema, and 28 million with VTDR worldwide. Longer diabetes duration and poorer glycemic and blood pressure control are strongly associated with DR. These data highlight the substantial worldwide public health burden of DR and the importance of modifiable risk factors in its occurrence. This study is limited by data pooled from studies at different time points, with different methodologies and population characteristics.

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Journal ArticleDOI
04 Sep 2013-JAMA
TL;DR: The estimated prevalence of diabetes among a representative sample of Chinese adults was 11.6% and the prevalence of prediabetes was 50.1%, which indicates the importance of diabetes as a public health problem in China.
Abstract: Importance Noncommunicable chronic diseases have become the leading causes of mortality and disease burden worldwide. Objective To investigate the prevalence of diabetes and glycemic control in the Chinese adult population. Design, Setting, and Participants Using a complex, multistage, probability sampling design, we conducted a cross-sectional survey in a nationally representative sample of 98 658 Chinese adults in 2010. Main Outcomes and Measures Plasma glucose and hemoglobin A 1c levels were measured after at least a 10-hour overnight fast among all study participants, and a 2-hour oral glucose tolerance test was conducted among participants without a self-reported history of diagnosed diabetes. Diabetes and prediabetes were defined according to the 2010 American Diabetes Association criteria; whereas, a hemoglobin A 1c level of Results The overall prevalence of diabetes was estimated to be 11.6% (95% CI, 11.3%-11.8%) in the Chinese adult population. The prevalence among men was 12.1% (95% CI, 11.7%-12.5%) and among women was 11.0% (95% CI, 10.7%-11.4%). The prevalence of previously diagnosed diabetes was estimated to be 3.5% (95% CI, 3.4%-3.6%) in the Chinese population: 3.6% (95% CI, 3.4%-3.8%) in men and 3.4% (95% CI, 3.2%-3.5%) in women. The prevalence of undiagnosed diabetes was 8.1% (95% CI, 7.9%-8.3%) in the Chinese population: 8.5% (95% CI, 8.2%-8.8%) in men and 7.7% (95% CI, 7.4%-8.0%) in women. In addition, the prevalence of prediabetes was estimated to be 50.1% (95% CI, 49.7%-50.6%) in Chinese adults: 52.1% (95% CI, 51.5%-52.7%) in men and 48.1% (95% CI, 47.6%-48.7%) in women. The prevalence of diabetes was higher in older age groups, in urban residents, and in persons living in economically developed regions. Among patients with diabetes, only 25.8% (95% CI, 24.9%-26.8%) received treatment for diabetes, and only 39.7% (95% CI, 37.6%-41.8%) of those treated had adequate glycemic control. Conclusions and Relevance The estimated prevalence of diabetes among a representative sample of Chinese adults was 11.6% and the prevalence of prediabetes was 50.1%. Projections based on sample weighting suggest this may represent up to 113.9 million Chinese adults with diabetes and 493.4 million with prediabetes. These findings indicate the importance of diabetes as a public health problem in China.

2,337 citations

Journal ArticleDOI
Seth Flaxman1, Rupert R A Bourne2, Serge Resnikoff3, Serge Resnikoff4, Peter Ackland5, Tasanee Braithwaite6, Maria V Cicinelli, Aditi Das7, Jost B. Jonas8, Jill E Keeffe9, John H. Kempen10, Janet L Leasher11, Hans Limburg, Kovin Naidoo12, Kovin Naidoo3, Konrad Pesudovs13, Alexander J Silvester, Gretchen A Stevens14, Nina Tahhan4, Nina Tahhan3, Tien Yin Wong15, Hugh R. Taylor16, Rupert R A Bourne2, Aries Arditi, Yaniv Barkana, Banu Bozkurt17, Alain M. Bron, Donald L. Budenz18, Feng Cai, Robert J Casson19, Usha Chakravarthy20, Jaewan Choi, Maria Vittoria Cicinelli, Nathan Congdon20, Reza Dana21, Rakhi Dandona22, Lalit Dandona23, Iva Dekaris, Monte A. Del Monte24, Jenny deva25, Laura E. Dreer26, Leon B. Ellwein27, Marcela Frazier26, Kevin D. Frick28, David S. Friedman28, João M. Furtado29, H. Gao30, Gus Gazzard31, Ronnie George32, Stephen Gichuhi33, Victor H. Gonzalez, Billy R. Hammond34, Mary Elizabeth Hartnett35, Minguang He16, James F. Hejtmancik, Flavio E. Hirai36, John J Huang37, April D. Ingram38, Jonathan C. Javitt28, Jost B. Jonas8, Charlotte E. Joslin39, John H Kempen10, Moncef Khairallah, Rohit C Khanna9, Judy E. Kim40, George N. Lambrou41, Van C. Lansingh, Paolo Lanzetta42, Jennifer I. Lim43, Kaweh Mansouri, Anu A. Mathew44, Alan R. Morse, Beatriz Munoz, David C. Musch24, Vinay Nangia, Maria Palaiou10, Maurizio Battaglia Parodi, Fernando Yaacov Pena, Tunde Peto20, Harry A. Quigley, Murugesan Raju45, Pradeep Y. Ramulu46, Zane Rankin15, Dana Reza21, Alan L. Robin23, Luca Rossetti47, Jinan B. Saaddine46, Mya Sandar15, Janet B. Serle48, Tueng T. Shen23, Rajesh K. Shetty49, Pamela C. Sieving27, Juan Carlos Silva50, Rita S. Sitorus51, Dwight Stambolian52, Gretchen Stevens14, Hugh Taylor16, Jaime Tejedor, James M. Tielsch28, Miltiadis K. Tsilimbaris53, Jan C. van Meurs, Rohit Varma54, Gianni Virgili55, Ya Xing Wang56, Ningli Wang56, Sheila K. West, Peter Wiedemann57, Tien Wong15, Richard Wormald6, Yingfeng Zheng15 
Imperial College London1, Anglia Ruskin University2, Brien Holden Vision Institute3, University of New South Wales4, International Agency for the Prevention of Blindness5, Moorfields Eye Hospital6, York Hospital7, Heidelberg University8, L V Prasad Eye Institute9, Massachusetts Eye and Ear Infirmary10, Nova Southeastern University11, University of KwaZulu-Natal12, National Health and Medical Research Council13, World Health Organization14, National University of Singapore15, University of Melbourne16, Selçuk University17, University of Miami18, University of Adelaide19, Queen's University Belfast20, Harvard University21, The George Institute for Global Health22, University of Washington23, University of Michigan24, Universiti Tunku Abdul Rahman25, University of Alabama at Birmingham26, National Institutes of Health27, Johns Hopkins University28, University of São Paulo29, Henry Ford Health System30, University College London31, Sankara Nethralaya32, University of Nairobi33, University of Georgia34, University of Utah35, Federal University of São Paulo36, Yale University37, Alberta Children's Hospital38, University of Illinois at Chicago39, Medical College of Wisconsin40, Novartis41, University of Udine42, University of Illinois at Urbana–Champaign43, Royal Children's Hospital44, University of Missouri45, Centers for Disease Control and Prevention46, University of Milan47, Icahn School of Medicine at Mount Sinai48, Mayo Clinic49, Pan American Health Organization50, University of Indonesia51, University of Pennsylvania52, University of Crete53, University of Southern California54, University of Florence55, Capital Medical University56, Leipzig University57
TL;DR: A series of regression models were fitted to estimate the proportion of moderate or severe vision impairment and blindness by cause, age, region, and year, and found that world regions varied markedly in the causes of blindness and vision impairment in this age group.

1,909 citations

Journal ArticleDOI
12 Dec 2017-JAMA
TL;DR: In this evaluation of retinal images from multiethnic cohorts of patients with diabetes, the DLS had high sensitivity and specificity for identifying diabetic retinopathy and related eye diseases.
Abstract: Importance A deep learning system (DLS) is a machine learning technology with potential for screening diabetic retinopathy and related eye diseases. Objective To evaluate the performance of a DLS in detecting referable diabetic retinopathy, vision-threatening diabetic retinopathy, possible glaucoma, and age-related macular degeneration (AMD) in community and clinic-based multiethnic populations with diabetes. Design, Setting, and Participants Diagnostic performance of a DLS for diabetic retinopathy and related eye diseases was evaluated using 494 661 retinal images. A DLS was trained for detecting diabetic retinopathy (using 76 370 images), possible glaucoma (125 189 images), and AMD (72 610 images), and performance of DLS was evaluated for detecting diabetic retinopathy (using 112 648 images), possible glaucoma (71 896 images), and AMD (35 948 images). Training of the DLS was completed in May 2016, and validation of the DLS was completed in May 2017 for detection of referable diabetic retinopathy (moderate nonproliferative diabetic retinopathy or worse) and vision-threatening diabetic retinopathy (severe nonproliferative diabetic retinopathy or worse) using a primary validation data set in the Singapore National Diabetic Retinopathy Screening Program and 10 multiethnic cohorts with diabetes. Exposures Use of a deep learning system. Main Outcomes and Measures Area under the receiver operating characteristic curve (AUC) and sensitivity and specificity of the DLS with professional graders (retinal specialists, general ophthalmologists, trained graders, or optometrists) as the reference standard. Results In the primary validation dataset (n = 14 880 patients; 71 896 images; mean [SD] age, 60.2 [2.2] years; 54.6% men), the prevalence of referable diabetic retinopathy was 3.0%; vision-threatening diabetic retinopathy, 0.6%; possible glaucoma, 0.1%; and AMD, 2.5%. The AUC of the DLS for referable diabetic retinopathy was 0.936 (95% CI, 0.925-0.943), sensitivity was 90.5% (95% CI, 87.3%-93.0%), and specificity was 91.6% (95% CI, 91.0%-92.2%). For vision-threatening diabetic retinopathy, AUC was 0.958 (95% CI, 0.956-0.961), sensitivity was 100% (95% CI, 94.1%-100.0%), and specificity was 91.1% (95% CI, 90.7%-91.4%). For possible glaucoma, AUC was 0.942 (95% CI, 0.929-0.954), sensitivity was 96.4% (95% CI, 81.7%-99.9%), and specificity was 87.2% (95% CI, 86.8%-87.5%). For AMD, AUC was 0.931 (95% CI, 0.928-0.935), sensitivity was 93.2% (95% CI, 91.1%-99.8%), and specificity was 88.7% (95% CI, 88.3%-89.0%). For referable diabetic retinopathy in the 10 additional datasets, AUC range was 0.889 to 0.983 (n = 40 752 images). Conclusions and Relevance In this evaluation of retinal images from multiethnic cohorts of patients with diabetes, the DLS had high sensitivity and specificity for identifying diabetic retinopathy and related eye diseases. Further research is necessary to evaluate the applicability of the DLS in health care settings and the utility of the DLS to improve vision outcomes.

1,309 citations

Journal ArticleDOI
30 Sep 2015
TL;DR: Major trends in the prevalence, incidence, progression and regression of DR and DME are explored, and gaps in literature identified, and established and novel risk factors are extensively reviewed.
Abstract: Diabetic retinopathy (DR) is a leading cause of vision-loss globally. Of an estimated 285 million people with diabetes mellitus worldwide, approximately one third have signs of DR and of these, a further one third of DR is vision-threatening DR, including diabetic macular edema (DME). The identification of established modifiable risk factors for DR such as hyperglycemia and hypertension has provided the basis for risk factor control in preventing onset and progression of DR. Additional research investigating novel risk factors has improved our understanding of multiple biological pathways involved in the pathogenesis of DR and DME, especially those involved in inflammation and oxidative stress. Variations in DR prevalence between populations have also sparked interest in genetic studies to identify loci associated with disease susceptibility. In this review, major trends in the prevalence, incidence, progression and regression of DR and DME are explored, and gaps in literature identified. Established and novel risk factors are also extensively reviewed with a focus on landmark studies and updates from the recent literature.

1,022 citations


Cites background from "Global Prevalence and Major Risk Fa..."

  • ...Yau (2012) [3] Meta-analysis Global Overall 7....

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  • ...In 2010, of an estimated 285 million people worldwide with diabetes, over one-third have signs of DR, and a third of these are afflicted with vision-threatening diabetic retinopathy (VTDR), defined as severe non-proliferative DR or proliferative DR (PDR) or the presence of diabetic macular edema (DME) [3]....

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  • ...Yau (2012) [3] Meta-analysis Global 12,620 Overall 35....

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Journal ArticleDOI
TL;DR: Results suggest eye care services contributed to the observed reduction of age-standardised rates of avoidable blindness but not of MSVI, and that the target in an ageing global population was not reached.

918 citations

References
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Journal ArticleDOI
TL;DR: Intensive therapy effectively delays the onset and slows the progression of diabetic retinopathy, nephropathy, and neuropathy in patients with IDDM.
Abstract: Background Long-term microvascular and neurologic complications cause major morbidity and mortality in patients with insulin-dependent diabetes mellitus (IDDM). We examined whether intensive treatment with the goal of maintaining blood glucose concentrations close to the normal range could decrease the frequency and severity of these complications. Methods A total of 1441 patients with IDDM--726 with no retinopathy at base line (the primary-prevention cohort) and 715 with mild retinopathy (the secondary-intervention cohort) were randomly assigned to intensive therapy administered either with an external insulin pump or by three or more daily insulin injections and guided by frequent blood glucose monitoring or to conventional therapy with one or two daily insulin injections. The patients were followed for a mean of 6.5 years, and the appearance and progression of retinopathy and other complications were assessed regularly. Results In the primary-prevention cohort, intensive therapy reduced the adjusted mean risk for the development of retinopathy by 76 percent (95 percent confidence interval, 62 to 85 percent), as compared with conventional therapy. In the secondary-intervention cohort, intensive therapy slowed the progression of retinopathy by 54 percent (95 percent confidence interval, 39 to 66 percent) and reduced the development of proliferative or severe nonproliferative retinopathy by 47 percent (95 percent confidence interval, 14 to 67 percent). In the two cohorts combined, intensive therapy reduced the occurrence of microalbuminuria (urinary albumin excretion of > or = 40 mg per 24 hours) by 39 percent (95 percent confidence interval, 21 to 52 percent), that of albuminuria (urinary albumin excretion of > or = 300 mg per 24 hours) by 54 percent (95 percent confidence interval 19 to 74 percent), and that of clinical neuropathy by 60 percent (95 percent confidence interval, 38 to 74 percent). The chief adverse event associated with intensive therapy was a two-to-threefold increase in severe hypoglycemia. Conclusions Intensive therapy effectively delays the onset and slows the progression of diabetic retinopathy, nephropathy, and neuropathy in patients with IDDM.

21,148 citations

Journal ArticleDOI
TL;DR: These predictions, based on a larger number of studies than previous estimates, indicate a growing burden of diabetes, particularly in developing countries.

6,868 citations

Journal ArticleDOI
TL;DR: A strategy of intensive glucose control, involving gliclazide (modified release) and other drugs as required, that lowered the glycated hemoglobin value to 6.5% yielded a 10% relative reduction in the combined outcome of major macrovascular and microvascular events, primarily as a consequence of a 21%relative reduction in nephropathy.
Abstract: BACKGROUND: In patients with type 2 diabetes, the effects of intensive glucose control on vascular outcomes remain uncertain. METHODS: We randomly assigned 11,140 patients with type 2 diabetes to undergo either standard glucose control or intensive glucose control, defined as the use of gliclazide (modified release) plus other drugs as required to achieve a glycated hemoglobin value of 6.5% or less. Primary end points were composites of major macrovascular events (death from cardiovascular causes, nonfatal myocardial infarction, or nonfatal stroke) and major microvascular events (new or worsening nephropathy or retinopathy), assessed both jointly and separately. RESULTS: After a median of 5 years of follow-up, the mean glycated hemoglobin level was lower in the intensive-control group (6.5%) than in the standard-control group (7.3%). Intensive control reduced the incidence of combined major macrovascular and microvascular events (18.1%, vs. 20.0% with standard control; hazard ratio, 0.90; 95% confidence interval [CI], 0.82 to 0.98; P=0.01), as well as that of major microvascular events (9.4% vs. 10.9%; hazard ratio, 0.86; 95% CI, 0.77 to 0.97; P=0.01), primarily because of a reduction in the incidence of nephropathy (4.1% vs. 5.2%; hazard ratio, 0.79; 95% CI, 0.66 to 0.93; P=0.006), with no significant effect on retinopathy (P=0.50). There were no significant effects of the type of glucose control on major macrovascular events (hazard ratio with intensive control, 0.94; 95% CI, 0.84 to 1.06; P=0.32), death from cardiovascular causes (hazard ratio with intensive control, 0.88; 95% CI, 0.74 to 1.04; P=0.12), or death from any cause (hazard ratio with intensive control, 0.93; 95% CI, 0.83 to 1.06; P=0.28). Severe hypoglycemia, although uncommon, was more common in the intensive-control group (2.7%, vs. 1.5% in the standard-control group; hazard ratio, 1.86; 95% CI, 1.42 to 2.40; P<0.001). CONCLUSIONS: A strategy of intensive glucose control, involving gliclazide (modified release) and other drugs as required, that lowered the glycated hemoglobin value to 6.5% yielded a 10% relative reduction in the combined outcome of major macrovascular and microvascular events, primarily as a consequence of a 21% relative reduction in nephropathy. (ClinicalTrials.gov number, NCT00145925.)

6,477 citations

Journal ArticleDOI
TL;DR: Atorvastatin 10 mg daily is safe and efficacious in reducing the risk of first cardiovascular disease events, including stroke, in patients with type 2 diabetes without high LDL-cholesterol.

3,578 citations


"Global Prevalence and Major Risk Fa..." refers background in this paper

  • ...Statins, however, did not affect DR severity in the few studies in which this was evaluated, although not as a primary outcome (35,36)....

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Journal ArticleDOI
TL;DR: Direct evidence is provided that cholesterol-lowering therapy is beneficial for people with diabetes even if they do not already have manifest coronary disease or high cholesterol concentrations and statin therapy should now be considered routinely for all diabetic patients at sufficiently high risk of major vascular events, irrespective of their initial cholesterol concentrations.

2,827 citations

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