Literature DB >> 28292772

Availability and variability in guidelines on diabetic retinopathy screening in Asian countries.

Louis Zizhao Wang1,2, Carol Y Cheung1,3, Robyn J Tapp1,4,5, Haslina Hamzah1, Gavin Tan1, Daniel Ting1, Ecosse Lamoureux1,6, Tien Yin Wong1,6.   

Abstract

BACKGROUND: Diabetic retinopathy (DR) is a blinding yet treatable complication of diabetes. DR screening is highly cost-effective at reducing blindness. Amidst the rapidly growing diabetic population in Asia, the prevalence of DR in the region is relatively less well known. AIMS: To review existing national DR screening guidelines of 50 countries in Asia, compare them against the International Council of Ophthalmology (ICO) guideline, and summarise the prevalence rates of DR and sight-threatening DR (STDR) in these countries.
METHODS: We systematically searched for published guidelines from the National Guideline Clearinghouse and other databases, and contacted local diabetic and ophthalmological associations of all 50 Asian countries.
RESULTS: Eleven Asian countries have published relevant guidelines, nine of which pertain to general diabetes care and two are DR-specific, covering less than half of Asia's population. The median DR prevalence among patients with diabetes is 30.5% (IQR: 23.2%-36.8%), similar to the USA and the UK. However, rates of STDR are consistently higher. All guidelines from the 11 Asian countries fulfil the ICO standard on when to start and repeat screening, except for screening interval for pregnant patients. However, only 2 of the 11 guidelines fulfil the ICO referral criteria and 6 partially fulfil. A third of the recommendations on screening process, equipment and personnel is either unavailable or incomplete.
CONCLUSIONS: Countries in Asia need to establish more comprehensive and evidence-based DR screening guidelines to facilitate the execution of robust screening programmes that could help reduce DR-related blindness, improve patient outcomes and reduce healthcare costs. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Epidemiology; Retina

Mesh:

Year:  2017        PMID: 28292772     DOI: 10.1136/bjophthalmol-2016-310002

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  16 in total

1.  Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

Authors:  Daniel Shu Wei Ting; Carol Yim-Lui Cheung; Gilbert Lim; Gavin Siew Wei Tan; Nguyen D Quang; Alfred Gan; Haslina Hamzah; Renata Garcia-Franco; Ian Yew San Yeo; Shu Yen Lee; Edmund Yick Mun Wong; Charumathi Sabanayagam; Mani Baskaran; Farah Ibrahim; Ngiap Chuan Tan; Eric A Finkelstein; Ecosse L Lamoureux; Ian Y Wong; Neil M Bressler; Sobha Sivaprasad; Rohit Varma; Jost B Jonas; Ming Guang He; Ching-Yu Cheng; Gemmy Chui Ming Cheung; Tin Aung; Wynne Hsu; Mong Li Lee; Tien Yin Wong
Journal:  JAMA       Date:  2017-12-12       Impact factor: 56.272

2.  Automated machine learning-based classification of proliferative and non-proliferative diabetic retinopathy using optical coherence tomography angiography vascular density maps.

Authors:  Elias Khalili Pour; Khosro Rezaee; Hossein Azimi; Seyed Mohammad Mirshahvalad; Behzad Jafari; Kaveh Fadakar; Hooshang Faghihi; Ahmad Mirshahi; Fariba Ghassemi; Nazanin Ebrahimiadib; Masoud Mirghorbani; Fatemeh Bazvand; Hamid Riazi-Esfahani; Mohammad Riazi Esfahani
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2022-09-02       Impact factor: 3.535

Review 3.  Diabetic retinopathy screening in the emerging era of artificial intelligence.

Authors:  Jakob Grauslund
Journal:  Diabetologia       Date:  2022-05-31       Impact factor: 10.460

4.  A deep learning system for detecting diabetic retinopathy across the disease spectrum.

Authors:  Ling Dai; Liang Wu; Huating Li; Chun Cai; Qiang Wu; Hongyu Kong; Ruhan Liu; Xiangning Wang; Xuhong Hou; Yuexing Liu; Xiaoxue Long; Yang Wen; Lina Lu; Yaxin Shen; Yan Chen; Dinggang Shen; Xiaokang Yang; Haidong Zou; Bin Sheng; Weiping Jia
Journal:  Nat Commun       Date:  2021-05-28       Impact factor: 14.919

5.  Clinical and Biochemical Associations with Diabetic Retinopathy in Male Patients in the Gaza Strip.

Authors:  Ayman M AbuMustafa
Journal:  Front Endocrinol (Lausanne)       Date:  2017-11-10       Impact factor: 5.555

6.  The War on Diabetic Retinopathy: Where Are We Now?

Authors:  Tien Y Wong; Charumathi Sabanayagam
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2019 Nov-Dec

7.  Can subthreshold micropulse yellow laser treatment change the anti-vascular endothelial growth factor algorithm in diabetic macular edema? A randomized clinical trial.

Authors:  Hatice Selen Kanar; Aysu Arsan; Ahmet Altun; Suat Fazıl Akı; Aynur Hacısalihoglu
Journal:  Indian J Ophthalmol       Date:  2020-01       Impact factor: 1.848

8.  A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis.

Authors:  Fangyao Tang; Xi Wang; An-Ran Ran; Carmen K M Chan; Mary Ho; Wilson Yip; Alvin L Young; Jerry Lok; Simon Szeto; Jason Chan; Fanny Yip; Raymond Wong; Ziqi Tang; Dawei Yang; Danny S Ng; Li Jia Chen; Marten Brelén; Victor Chu; Kenneth Li; Tracy H T Lai; Gavin S Tan; Daniel S W Ting; Haifan Huang; Haoyu Chen; Jacey Hongjie Ma; Shibo Tang; Theodore Leng; Schahrouz Kakavand; Suria S Mannil; Robert T Chang; Gerald Liew; Bamini Gopinath; Timothy Y Y Lai; Chi Pui Pang; Peter H Scanlon; Tien Yin Wong; Clement C Tham; Hao Chen; Pheng-Ann Heng; Carol Y Cheung
Journal:  Diabetes Care       Date:  2021-07-27       Impact factor: 17.152

9.  Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy.

Authors:  Gen-Min Lin; Mei-Juan Chen; Chia-Hung Yeh; Yu-Yang Lin; Heng-Yu Kuo; Min-Hui Lin; Ming-Chin Chen; Shinfeng D Lin; Ying Gao; Anran Ran; Carol Y Cheung
Journal:  J Ophthalmol       Date:  2018-09-10       Impact factor: 1.909

10.  Prevalence and causes of avoidable blindness and visual impairment, including the prevalence of diabetic retinopathy in Siwan district of Bihar, India: A population-based survey.

Authors:  Ajit Kumar Poddar; Tanwir Ahmed Khan; Kumari Sweta; Mritunjay Kumar Tiwary; Rishi R Borah; Rahul Ali; Asim Kumar Sil; Sethu Sheeladevi
Journal:  Indian J Ophthalmol       Date:  2020-02       Impact factor: 1.848

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