Need for Eye Care Among Older Adults With Diabetes Mellitus in Fee-for-Service and Managed Medicare

Brown, Arleen F.; Jiang, Luohua; Fong, Donald S.; Gutierrez, Peter R.; Coleman, Anne L.; Lee, Paul P.; Adams, John; Mangione, Carol M.

doi:10.1001/archopht.123.5.669

Cited by 12 publications

(8 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, another study found that there was a higher level of need for eye care within 6 months for patients enrolled in managed care plans compared with patients enrolled in FFS plans. 6 This finding correlates with the finding of less access to cataract surgery in the managed care settings in the previous study.…”

Section: Variation In Rate Of Cataract Surgerysupporting

confidence: 88%

White Paper Utilization, appropriate care, and quality of life for patients with cataracts

Obstbaum¹

2006

Journal of Cataract and Refractive Surgery

View full text Add to dashboard Cite

Section: Variation In Rate Of Cataract Surgerysupporting

confidence: 88%

White Paper Utilization, appropriate care, and quality of life for patients with cataracts

Obstbaum¹

2006

Journal of Cataract and Refractive Surgery

View full text Add to dashboard Cite

“…Findings of the diabetic retinopathy study (DRS) group and the early treatment diabetic retinopathy study (ETDRs) group confirm that effective treatment prevents severe vision loss in 90% of DR patients and reduces the blindness rate to less than 5% from 50% [15]. Applying AI technology to DR diagnosis allows for quick acquisition of preliminary diagnostic results, which reduces time for diagnosis and treatment, saving time both for the doctors and the patients.…”

Section: Discussionmentioning

confidence: 99%

An Evaluation System of Fundus Photograph-Based Intelligent Diagnostic Technology for Diabetic Retinopathy and Applicability for Research

Yang

Zheng

et al. 2019

Diabetes Ther

View full text Add to dashboard Cite

IntroductionIn April 2018, the US Food and Drug Administration (FDA) approved the world’s first artificial intelligence (AI) medical device for detecting diabetic retinopathy (DR), the IDx-DR. However, there is a lack of evaluation systems for DR intelligent diagnostic technology.MethodsFive hundred color fundus photographs of diabetic patients were selected. DR severity varied from grade 0 to 4, with 100 photographs for each grade. Following that, these were diagnosed by both ophthalmologists and the intelligent technology, the results of which were compared by applying the evaluation system. The system includes primary, intermediate, and advanced evaluations, of which the intermediate evaluation incorporated two methods. Main evaluation indicators were sensitivity, specificity, and kappa value.ResultsThe AI technology diagnosed 93 photographs with no DR, 107 with mild non-proliferative DR (NPDR), 107 with moderate NPDR, 108 with severe NPDR, and 85 with proliferative DR (PDR). The sensitivity, specificity, and kappa value of the AI diagnoses in the primary evaluation were 98.8%, 88.0%, and 0.89, respectively. According to method 1 of the intermediate evaluation, the sensitivity of AI diagnosis was 98.0%, specificity 97.0%, and the kappa value 0.95. In method 2 of the intermediate evaluation, the sensitivity of AI diagnosis was 95.5%, the specificity 99.3%, and kappa value 0.95. In the advanced evaluation, the kappa value of the intelligent diagnosis was 0.86.ConclusionsThis article proposes an evaluation system for color fundus photograph-based intelligent diagnostic technology of DR and demonstrates an application of this system in a clinical setting. The results from this evaluation system serve as the basis for the selection of scenarios in which DR intelligent diagnostic technology can be applied.

show abstract

“…Diabetic retinopathy (DR) is a chronic complication of diabetes mellitus (DM), the leading cause of blindness in adults, affecting 51 million people all over the world [1, 2]. The prevalence of diabetic retinopathy is about 20.5% ∼ 46.9% [3, 4].…”

Section: Introductionmentioning

confidence: 99%

The Morphological Features and Mitochondrial Oxidative Stress Mechanism of the Retinal Neurons Apoptosis in Early Diabetic Rats

Zhang

Zhou

2014

Journal of Diabetes Research

View full text Add to dashboard Cite

This paper aims to explore the relationship of retinal neuron apoptosis and manganese superoxidase dismutase (MnSOD) at early phase of diabetic retinopathy. Sprague-Dawley rats were grouped into normal controls and diabetics. Data were collected after 4, 8, and 12 weeks (n = 12). The pathological changes and ultrastructure of the retina, the apoptosis rate of retinal neurons by TdT-mediated dUTP nick end label (TUNEL), mRNA expressions of MnSOD and copper-zinc superoxide dismutase (Cu–Zn SOD), and the activities of total SOD (T-SOD) and subtypes of SOD were tested. For the controls, there was no abnormal structure or apoptosis of retinal neurons at any time. There was no change of structure for rats with diabetes at 4 or 8 weeks, but there was a decrease of retinal ganglion cells (RGCs) number and thinner inner nuclear layer (INL) at 12 weeks. The apoptosis ratio of RGCs was higher than that of the controls at 8 and 12 weeks (P < 0.001). The activity and mRNA levels of MnSOD were lower in diabetics at 4, 8, and 12 weeks (P < 0.05). In summary, the apoptosis of the retinal neurons occurred at 8 weeks after the onset of diabetes. Retinal neuron apoptosis in early diabetic rats may be associated with the decreased activity and mRNA of MnSOD.

show abstract

Need for Eye Care Among Older Adults With Diabetes Mellitus in Fee-for-Service and Managed Medicare

Cited by 12 publications

References 37 publications

White Paper Utilization, appropriate care, and quality of life for patients with cataracts

White Paper Utilization, appropriate care, and quality of life for patients with cataracts

An Evaluation System of Fundus Photograph-Based Intelligent Diagnostic Technology for Diabetic Retinopathy and Applicability for Research

The Morphological Features and Mitochondrial Oxidative Stress Mechanism of the Retinal Neurons Apoptosis in Early Diabetic Rats

Contact Info

Product

Resources

About