Literature DB >> 31408872

Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence.

Tien Yin Wong1,2, Charumathi Sabanayagam3,4.   

Abstract

Diabetes is a global public health disease projected to affect 642 million adults by 2040, with about 75% residing in low- and middle-income countries. Diabetic retinopathy (DR) affects 1 in 3 people with diabetes and remains the leading cause of blindness in working-aged adults. There are 3 broad strategic imperatives to prevent blindness caused by DR. Primary prevention requires preventing or delaying the onset of DR in those with diabetes by systems-level lifestyle modifications such as increasing physical activity or dietary modifications, pharmacological interventions for glycaemic and blood pressure control, and systematic screening for the onset of DR. Secondary prevention requires preventing the progression of DR in patients with DR by continuing systemic risk factor control, regular screening to monitor for the progression of mild DR to vision-threatening stages, and the development and implementation of evidence-based guidelines for managing DR. In this aspect, telemedicine-based DR screening incorporating artificial intelligence technology has the potential to facilitate more widespread and cost-effective screening, particularly in low- and middle-income countries. Tertiary prevention of DR blindness has been the main focus of the clinical ophthalmology community, classically based on laser photocoagulation treatment and ocular surgery but with an increasing use of anti-vascular endothelial growth factor (anti-VEGF) for vision-threatening DR. Evidence from serial epidemiological studies shows blindness due to DR has declined in high-income countries (e.g., the USA and UK) due to coordinated public health education efforts, increased awareness, early detection by DR screening, sustained systemic risk factor control, and the availability of effective tertiary level treatment. However, the progress made in reducing DR blindness in high-income countries may be overwhelmed by the increasing numbers of patients with diabetes and DR in low- and middle-income countries (e.g., China, India, Indonesia, etc.). Thus, to tackle DR at a global level, a paradigm shift in strategic focus from tertiary towards secondary and primary prevention measures with a multi-pronged whole-of-society approach at regional and national levels is urgently needed.
© 2019 S. Karger AG, Basel.

Entities:  

Keywords:  Deep learning; Diabetic retinopathy; Prevention; Risk factors; Screening

Mesh:

Year:  2019        PMID: 31408872     DOI: 10.1159/000502387

Source DB:  PubMed          Journal:  Ophthalmologica        ISSN: 0030-3755            Impact factor:   3.250


  31 in total

1.  Educational quality and content of YouTube videos on diabetic macular edema.

Authors:  Jasmine Mahajan; Aretha Zhu; Owais M Aftab; Roger K Henry; Nathan Y B Agi; Neelakshi Bhagat
Journal:  Int Ophthalmol       Date:  2022-09-03       Impact factor: 2.029

2.  Three-dimensional spheroids of choroid-retinal vascular endothelial cells as an in-vitro model for diabetic retinopathy: Proof-of-concept investigation.

Authors:  Manish Gore; Ankit Tiwari; Devashree Jahagirdar; Angayarkanni Narayanasamy; Ratnesh Jain; Prajakta Dandekar
Journal:  Curr Res Pharmacol Drug Discov       Date:  2022-05-21

3.  A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique.

Authors:  Eman AbdelMaksoud; Sherif Barakat; Mohammed Elmogy
Journal:  Med Biol Eng Comput       Date:  2022-05-11       Impact factor: 3.079

Review 4.  Impact and Trends in Global Ophthalmology.

Authors:  Lloyd B Williams; S Grace Prakalapakorn; Zubair Ansari; Raquel Goldhardt
Journal:  Curr Ophthalmol Rep       Date:  2020-06-22

5.  Carbamazepine Alleviates Retinal and Optic Nerve Neural Degeneration in Diabetic Mice via Nerve Growth Factor-Induced PI3K/Akt/mTOR Activation.

Authors:  Nehal M Elsherbiny; Yousra Abdel-Mottaleb; Amany Y Elkazaz; Hoda Atef; Rehab M Lashine; Amal M Youssef; Wessam Ezzat; Sabah H El-Ghaiesh; Rabie E Elshaer; Mohamed El-Shafey; Sawsan A Zaitone
Journal:  Front Neurosci       Date:  2019-11-01       Impact factor: 4.677

6.  Fenofibrate increases circulating haematopoietic stem cells in people with diabetic retinopathy: a randomised, placebo-controlled trial.

Authors:  Benedetta Maria Bonora; Mattia Albiero; Mario Luca Morieri; Roberta Cappellari; Francesco Ivan Amendolagine; Marta Mazzucato; Alberto Zambon; Elisabetta Iori; Angelo Avogaro; Gian Paolo Fadini
Journal:  Diabetologia       Date:  2021-08-09       Impact factor: 10.122

7.  Opa1 Deficiency Promotes Development of Retinal Vascular Lesions in Diabetic Retinopathy.

Authors:  Dongjoon Kim; Marcela Votruba; Sayon Roy
Journal:  Int J Mol Sci       Date:  2021-05-31       Impact factor: 5.923

Review 8.  The Evolution of Diabetic Retinopathy Screening Programmes: A Chronology of Retinal Photography from 35 mm Slides to Artificial Intelligence.

Authors:  Josef Huemer; Siegfried K Wagner; Dawn A Sim
Journal:  Clin Ophthalmol       Date:  2020-07-20

Review 9.  Telemedicine in ophthalmology in view of the emerging COVID-19 outbreak.

Authors:  Adir C Sommer; Eytan Z Blumenthal
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-08-19       Impact factor: 3.117

10.  Patients' perspectives on the barriers to referral after telescreening for diabetic retinopathy in communities.

Authors:  Xiaofeng Zhu; Yi Xu; Lina Lu; Haidong Zou
Journal:  BMJ Open Diabetes Res Care       Date:  2020-03
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