No Cover Image

Journal article 435 views 120 downloads

IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive

David Owens Orcid Logo, Sarega Gurudas, Sobha Sivaprasad, Farhan Zaidi, Robyn Tapp, Dimitrios Kazantzis, Lizzy Evans, Becky Thomas Orcid Logo

Diabetes Research and Clinical Practice, Volume: 226, Start page: 112346

Swansea University Authors: David Owens Orcid Logo, Becky Thomas Orcid Logo

  • 69816.VoR.pdf

    PDF | Version of Record

    © 2025 The Author(s). This is an open access article under the CC BY license.

    Download (3.08MB)

Abstract

Aims: This study aimed to report the global prevalence of diabetic retinopathy (DR) based on retinal imaging, using English-language articles published from 2017 to June 2024. Methods: Three databases—Cochrane Library, Embase via OVID, and Medline via OVID—were searched using subject headings and ke...

Full description

Published in: Diabetes Research and Clinical Practice
ISSN: 0168-8227 1872-8227
Published: Elsevier BV 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa69816
first_indexed 2025-06-26T09:57:09Z
last_indexed 2025-11-22T05:29:22Z
id cronfa69816
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-11-21T15:57:06.8805833</datestamp><bib-version>v2</bib-version><id>69816</id><entry>2025-06-26</entry><title>IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive</title><swanseaauthors><author><sid>2fd4b7c3f82c6d3bd546eff61ff944e9</sid><ORCID>0000-0003-1002-1238</ORCID><firstname>David</firstname><surname>Owens</surname><name>David Owens</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e83b45ec71428bd748ce201048f43d6a</sid><ORCID>0000-0002-2970-6352</ORCID><firstname>Becky</firstname><surname>Thomas</surname><name>Becky Thomas</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-06-26</date><deptcode>MEDS</deptcode><abstract>Aims: This study aimed to report the global prevalence of diabetic retinopathy (DR) based on retinal imaging, using English-language articles published from 2017 to June 2024. Methods: Three databases&#x2014;Cochrane Library, Embase via OVID, and Medline via OVID&#x2014;were searched using subject headings and keywords. An independent librarian conducted the initial search and developed the strategy. A total of 569 publications were uploaded to Rayyan for blinded screening, yielding 42 studies. Meta-analysis was performed to determine prevalence rates for any DR, proliferative DR (PDR), diabetic macular oedema (DMO), and sight-threatening DR (STDR). Results: Global prevalence rates across the 7 IDF regions were: any DR 23&#x202F;% (95&#x202F;% CI: 20&#x2013;26), PDR 6&#x202F;% (95&#x202F;% CI: 3&#x2013;9), DMO 5&#x202F;% (95&#x202F;% CI: 4&#x2013;6), and STDR 11&#x202F;% (95&#x202F;% CI: 9&#x2013;14). Compared to 2015&#x2013;2019 data, the rate of any DR decreased from 27&#x202F;% to 23&#x202F;%, while PDR increased from 1.4&#x202F;% to 6&#x202F;%. DMO rates remained stable (&#x223C;5%). Conclusion: Global DR prevalence remains between 20 and 30%. However, variations in study design and regional practices limit trend interpretation. International screening guidelines, supported by advancing technology, are needed to produce robust epidemiological data for global Eye Health policy planning.</abstract><type>Journal Article</type><journal>Diabetes Research and Clinical Practice</journal><volume>226</volume><journalNumber/><paginationStart>112346</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0168-8227</issnPrint><issnElectronic>1872-8227</issnElectronic><keywords>Diabetes mellitus; Diabetic retinopathy screening; Global prevalence of diabetic retinopathy</keywords><publishedDay>1</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-08-01</publishedDate><doi>10.1016/j.diabres.2025.112346</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>Swansea University</funders><projectreference/><lastEdited>2025-11-21T15:57:06.8805833</lastEdited><Created>2025-06-26T10:53:26.8490277</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>David</firstname><surname>Owens</surname><orcid>0000-0003-1002-1238</orcid><order>1</order></author><author><firstname>Sarega</firstname><surname>Gurudas</surname><order>2</order></author><author><firstname>Sobha</firstname><surname>Sivaprasad</surname><order>3</order></author><author><firstname>Farhan</firstname><surname>Zaidi</surname><order>4</order></author><author><firstname>Robyn</firstname><surname>Tapp</surname><order>5</order></author><author><firstname>Dimitrios</firstname><surname>Kazantzis</surname><order>6</order></author><author><firstname>Lizzy</firstname><surname>Evans</surname><order>7</order></author><author><firstname>Becky</firstname><surname>Thomas</surname><orcid>0000-0002-2970-6352</orcid><order>8</order></author></authors><documents><document><filename>69816__34747__5b3540b3db894241b0e01c367c3d8db8.pdf</filename><originalFilename>69816.VoR.pdf</originalFilename><uploaded>2025-07-11T14:48:15.0601392</uploaded><type>Output</type><contentLength>3232982</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2025 The Author(s). This is an open access article under the CC BY license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2025-11-21T15:57:06.8805833 v2 69816 2025-06-26 IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive 2fd4b7c3f82c6d3bd546eff61ff944e9 0000-0003-1002-1238 David Owens David Owens true false e83b45ec71428bd748ce201048f43d6a 0000-0002-2970-6352 Becky Thomas Becky Thomas true false 2025-06-26 MEDS Aims: This study aimed to report the global prevalence of diabetic retinopathy (DR) based on retinal imaging, using English-language articles published from 2017 to June 2024. Methods: Three databases—Cochrane Library, Embase via OVID, and Medline via OVID—were searched using subject headings and keywords. An independent librarian conducted the initial search and developed the strategy. A total of 569 publications were uploaded to Rayyan for blinded screening, yielding 42 studies. Meta-analysis was performed to determine prevalence rates for any DR, proliferative DR (PDR), diabetic macular oedema (DMO), and sight-threatening DR (STDR). Results: Global prevalence rates across the 7 IDF regions were: any DR 23 % (95 % CI: 20–26), PDR 6 % (95 % CI: 3–9), DMO 5 % (95 % CI: 4–6), and STDR 11 % (95 % CI: 9–14). Compared to 2015–2019 data, the rate of any DR decreased from 27 % to 23 %, while PDR increased from 1.4 % to 6 %. DMO rates remained stable (∼5%). Conclusion: Global DR prevalence remains between 20 and 30%. However, variations in study design and regional practices limit trend interpretation. International screening guidelines, supported by advancing technology, are needed to produce robust epidemiological data for global Eye Health policy planning. Journal Article Diabetes Research and Clinical Practice 226 112346 Elsevier BV 0168-8227 1872-8227 Diabetes mellitus; Diabetic retinopathy screening; Global prevalence of diabetic retinopathy 1 8 2025 2025-08-01 10.1016/j.diabres.2025.112346 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2025-11-21T15:57:06.8805833 2025-06-26T10:53:26.8490277 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science David Owens 0000-0003-1002-1238 1 Sarega Gurudas 2 Sobha Sivaprasad 3 Farhan Zaidi 4 Robyn Tapp 5 Dimitrios Kazantzis 6 Lizzy Evans 7 Becky Thomas 0000-0002-2970-6352 8 69816__34747__5b3540b3db894241b0e01c367c3d8db8.pdf 69816.VoR.pdf 2025-07-11T14:48:15.0601392 Output 3232982 application/pdf Version of Record true © 2025 The Author(s). This is an open access article under the CC BY license. true eng http://creativecommons.org/licenses/by/4.0/
title IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive
spellingShingle IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive
David Owens
Becky Thomas
title_short IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive
title_full IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive
title_fullStr IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive
title_full_unstemmed IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive
title_sort IDF diabetes Atlas: A worldwide review of studies utilizing retinal photography to screen for diabetic retinopathy from 2017 to 2024 inclusive
author_id_str_mv 2fd4b7c3f82c6d3bd546eff61ff944e9
e83b45ec71428bd748ce201048f43d6a
author_id_fullname_str_mv 2fd4b7c3f82c6d3bd546eff61ff944e9_***_David Owens
e83b45ec71428bd748ce201048f43d6a_***_Becky Thomas
author David Owens
Becky Thomas
author2 David Owens
Sarega Gurudas
Sobha Sivaprasad
Farhan Zaidi
Robyn Tapp
Dimitrios Kazantzis
Lizzy Evans
Becky Thomas
format Journal article
container_title Diabetes Research and Clinical Practice
container_volume 226
container_start_page 112346
publishDate 2025
institution Swansea University
issn 0168-8227
1872-8227
doi_str_mv 10.1016/j.diabres.2025.112346
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
description Aims: This study aimed to report the global prevalence of diabetic retinopathy (DR) based on retinal imaging, using English-language articles published from 2017 to June 2024. Methods: Three databases—Cochrane Library, Embase via OVID, and Medline via OVID—were searched using subject headings and keywords. An independent librarian conducted the initial search and developed the strategy. A total of 569 publications were uploaded to Rayyan for blinded screening, yielding 42 studies. Meta-analysis was performed to determine prevalence rates for any DR, proliferative DR (PDR), diabetic macular oedema (DMO), and sight-threatening DR (STDR). Results: Global prevalence rates across the 7 IDF regions were: any DR 23 % (95 % CI: 20–26), PDR 6 % (95 % CI: 3–9), DMO 5 % (95 % CI: 4–6), and STDR 11 % (95 % CI: 9–14). Compared to 2015–2019 data, the rate of any DR decreased from 27 % to 23 %, while PDR increased from 1.4 % to 6 %. DMO rates remained stable (∼5%). Conclusion: Global DR prevalence remains between 20 and 30%. However, variations in study design and regional practices limit trend interpretation. International screening guidelines, supported by advancing technology, are needed to produce robust epidemiological data for global Eye Health policy planning.
published_date 2025-08-01T05:29:10Z
_version_ 1851097927592706048
score 11.089572