Skip to main content
Top
Published in: Systematic Reviews 1/2018

Open Access 01-12-2018 | Research

Systematic review and meta-analysis of diagnostic accuracy of detection of any level of diabetic retinopathy using digital retinal imaging

Authors: Mapa Mudiyanselage Prabhath Nishantha Piyasena, Gudlavalleti Venkata S. Murthy, Jennifer L. Y. Yip, Clare Gilbert, Tunde Peto, Iris Gordon, Suwin Hewage, Sureshkumar Kamalakannan

Published in: Systematic Reviews | Issue 1/2018

Login to get access

Abstract

Background

Visual impairment from diabetic retinopathy (DR) is an increasing global public health concern, which is preventable with screening and early treatment. Digital retinal imaging has become a preferred choice as it enables higher coverage of screening. The aim of this review is to evaluate how different characteristics of the DR screening (DRS) test impact on diagnostic test accuracy (DTA) and its relevance to a low-income setting.

Methods

We conducted a systematic literature search to identify clinic-based studies on DRS using digital retinal imaging of people with DM (PwDM). Summary estimates of different sub-groups were calculated using DTA values weighted according to the sample size. The DTA of each screening method was derived after exclusion of ungradable images and considering the eye as the unit of analysis. The meta-analysis included studies which measured DTA of detecting any level of DR. We also examined the effect on detection from using different combinations of retinal fields, pupil status, index test graders and setting.

Results

Six thousand six hundred forty-six titles and abstracts were retrieved, and data were extracted from 122 potentially eligible full reports. Twenty-six studies were included in the review, and 21 studies, mostly from high-income settings (18/21, 85.7%), were included in the meta-analysis. The highest sensitivity was observed in the mydriatic greater than two field strategy (92%, 95% CI 90–94%). The highest specificity was observed in greater than two field methods (94%, 95% CI 93–96%) where mydriasis did not affect specificity. Overall, there was no difference in sensitivity between non-mydriatic and mydriatic methods (86%, 95% CI 85–87) after exclusion of ungradable images. The highest DTA (sensitivity 90%, 95% CI 88–91%; specificity 95%, 95% CI 94–96%) was observed when screening was delivered at secondary/tertiary level clinics.

Conclusions

Non-mydriatic two-field strategy could be a more pragmatic approach in starting DRS programmes for facility-based PwDM in low-income settings, with dilatation of the pupils of those who have ungradable images. There was insufficient evidence in primary studies to draw firm conclusions on how graders’ background influences DTA. Conducting more context-specific DRS validation studies in low-income and non-ophthalmic settings can be recommended.
Appendix
Available only for authorised users
Literature
8.
go back to reference Klein BE. Overview of epidemiologic studies of diabetic retinopathy. Ophthalmic Epidemiol. 2007;14(4):179–83.CrossRef Klein BE. Overview of epidemiologic studies of diabetic retinopathy. Ophthalmic Epidemiol. 2007;14(4):179–83.CrossRef
10.
go back to reference Klein R, Knudtson MD, Lee KE, Gangnon R, Klein BEK. The Wisconsin epidemiologic study of diabetic retinopathy xxii. The twenty-five-year progression of retinopathy in persons with type 1 diabetes. NIH public access. Diabetes. 2009;115(11):263–0279. Klein R, Knudtson MD, Lee KE, Gangnon R, Klein BEK. The Wisconsin epidemiologic study of diabetic retinopathy xxii. The twenty-five-year progression of retinopathy in persons with type 1 diabetes. NIH public access. Diabetes. 2009;115(11):263–0279.
11.
go back to reference Kohner EM, Aldington SJ, Stratton IM, Manley SE, Holman RR, Mathews DR, Turner RC. United Kingdom Prospective Diabetes Study, 30: diabetic retinopathy at diagnosis of non-insulin-dependent diabetes mellitus and associated risk factors. Arch Ophthalmol. 1998;116(3):297–303.CrossRef Kohner EM, Aldington SJ, Stratton IM, Manley SE, Holman RR, Mathews DR, Turner RC. United Kingdom Prospective Diabetes Study, 30: diabetic retinopathy at diagnosis of non-insulin-dependent diabetes mellitus and associated risk factors. Arch Ophthalmol. 1998;116(3):297–303.CrossRef
15.
go back to reference Hutchinson A, McIntosh A, Peters J, Keeffe JE, Khunti K, Baker R. Effectiveness of screening and monitoring tests for diabetic retinopathy - a systematic review. Diabet Med. 2000;17(17):495–506 PMID: 10972578.CrossRef Hutchinson A, McIntosh A, Peters J, Keeffe JE, Khunti K, Baker R. Effectiveness of screening and monitoring tests for diabetic retinopathy - a systematic review. Diabet Med. 2000;17(17):495–506 PMID: 10972578.CrossRef
18.
24.
go back to reference Olson JA, Strachan FM, Hipwell JH, Goatman KA, McHardy KC, Forrester JV, et al. A comparative evaluation of digital imaging, retinal photography and optometrist examination in screening for diabetic retinopathy. Diabet Med. 2003;20(7):528–34 PMID: 12823232.CrossRef Olson JA, Strachan FM, Hipwell JH, Goatman KA, McHardy KC, Forrester JV, et al. A comparative evaluation of digital imaging, retinal photography and optometrist examination in screening for diabetic retinopathy. Diabet Med. 2003;20(7):528–34 PMID: 12823232.CrossRef
30.
go back to reference Shiffman R, Jacobsen G, Nussbaun J, Desai U, Carey D, Glasser D, et al. Comparison of a digital retinal imaging system and seven-field stereo colour fundus photography to detect diabetic retinopathy in the primary care environment. Ophthalmic Surg Lasers Imaging. 2005;36:46–57 PMID: 15688971. Shiffman R, Jacobsen G, Nussbaun J, Desai U, Carey D, Glasser D, et al. Comparison of a digital retinal imaging system and seven-field stereo colour fundus photography to detect diabetic retinopathy in the primary care environment. Ophthalmic Surg Lasers Imaging. 2005;36:46–57 PMID: 15688971.
31.
go back to reference Boucher MC, Gresset JA, Angioi K, Olivier S. Effectiveness and safety of screening for diabetic retinopathy with two nonmydriatic digital images compared with the seven standard stereoscopic photographic fields. Can J Ophthalmol. 2003;38(7):557–68 PMID: 14740797.CrossRef Boucher MC, Gresset JA, Angioi K, Olivier S. Effectiveness and safety of screening for diabetic retinopathy with two nonmydriatic digital images compared with the seven standard stereoscopic photographic fields. Can J Ophthalmol. 2003;38(7):557–68 PMID: 14740797.CrossRef
32.
go back to reference Maberley D, Cruess AF, Barile G, Slakter J. Digital photographic screening for diabetic retinopathy in the James Bay Cree. Ophthalmic Epidemiol. 2002;9(3):169–78 PMID: 12045884.CrossRef Maberley D, Cruess AF, Barile G, Slakter J. Digital photographic screening for diabetic retinopathy in the James Bay Cree. Ophthalmic Epidemiol. 2002;9(3):169–78 PMID: 12045884.CrossRef
33.
go back to reference Perrier M, Boucher MC, Angioi K, Gresset JA, Olivier S. Comparison of two, three and four 45 degrees image fields obtained with the Topcon CRW6 nonmydriatic camera for screening for diabetic retinopathy. Can J Ophthalmol. 2003;38(7):569–74 PMID: 14740798.CrossRef Perrier M, Boucher MC, Angioi K, Gresset JA, Olivier S. Comparison of two, three and four 45 degrees image fields obtained with the Topcon CRW6 nonmydriatic camera for screening for diabetic retinopathy. Can J Ophthalmol. 2003;38(7):569–74 PMID: 14740798.CrossRef
34.
go back to reference Bhargava M, Cheung CYL, Sabanayagam C, Kawasaki R, Harper CA, Lamoureux EL, et al. Accuracy of diabetic retinopathy screening by trained non-physician graders using non-mydriatic fundus camera. Singap Med J. 2012;53(11):715–9 PMID: 23192497. Bhargava M, Cheung CYL, Sabanayagam C, Kawasaki R, Harper CA, Lamoureux EL, et al. Accuracy of diabetic retinopathy screening by trained non-physician graders using non-mydriatic fundus camera. Singap Med J. 2012;53(11):715–9 PMID: 23192497.
39.
go back to reference Scanlon PH, Malhotra R, Greenwood RH, Aldington SJ, Foy C, Flatman M, et al. Comparison of two reference standards in validating two field mydriatic digital photography as a method of screening for diabetic retinopathy. Br J Ophthalmol. 2003;87(10):1258–63 PMID: 14507762 PMCID: PMC1920793.CrossRef Scanlon PH, Malhotra R, Greenwood RH, Aldington SJ, Foy C, Flatman M, et al. Comparison of two reference standards in validating two field mydriatic digital photography as a method of screening for diabetic retinopathy. Br J Ophthalmol. 2003;87(10):1258–63 PMID: 14507762 PMCID: PMC1920793.CrossRef
40.
go back to reference Scanlon PH, Malhotra R, Thomas G, Foyt C, Kirkpatrick JN, Lewis-Barned N, et al. The effectiveness of screening for diabetic retinopathy by digital imaging photography and technician ophthalmoscopy. Diabet Med. 2003;20(6):467–74 PMID: 12786681.CrossRef Scanlon PH, Malhotra R, Thomas G, Foyt C, Kirkpatrick JN, Lewis-Barned N, et al. The effectiveness of screening for diabetic retinopathy by digital imaging photography and technician ophthalmoscopy. Diabet Med. 2003;20(6):467–74 PMID: 12786681.CrossRef
43.
go back to reference Massin P, Erginay A, Ben Mehidi A, Vicaut E, Quentel G, Victor Z, et al. Evaluation of a new non-mydriatic digital camera for detection of diabetic retinopathy. Diabet Med. 2003;20(8):635–41.CrossRef Massin P, Erginay A, Ben Mehidi A, Vicaut E, Quentel G, Victor Z, et al. Evaluation of a new non-mydriatic digital camera for detection of diabetic retinopathy. Diabet Med. 2003;20(8):635–41.CrossRef
46.
go back to reference Suansilpong A, Rawdaree P. Accuracy of single-field nonmydriatic digital fundus image in screening for diabetic retinopathy. J Med Assoc Thail. 2008;91(9):1397–403 PMID: 18843870. Suansilpong A, Rawdaree P. Accuracy of single-field nonmydriatic digital fundus image in screening for diabetic retinopathy. J Med Assoc Thail. 2008;91(9):1397–403 PMID: 18843870.
47.
go back to reference Ding J, Zou Y, Liu N, Jiang L, Ren X, Jia W, et al. Strategies of digital fundus photography for screening diabetic retinopathy in a diabetic population in urban China strategies of digital fundus photography for screening diabetic retinopathy in a diabetic population in urban China. Ophthalmic Epidemiol. 2016;6586. https://doi.org/10.3109/09286586.2012.716895.CrossRef Ding J, Zou Y, Liu N, Jiang L, Ren X, Jia W, et al. Strategies of digital fundus photography for screening diabetic retinopathy in a diabetic population in urban China strategies of digital fundus photography for screening diabetic retinopathy in a diabetic population in urban China. Ophthalmic Epidemiol. 2016;6586. https://​doi.​org/​10.​3109/​09286586.​2012.​716895.CrossRef
49.
go back to reference Massin P, Aubert JP, Eschwege E, Erginay A, Bourovitch JC, BenMehidi A, et al. Evaluation of a screening program for diabetic retinopathy in a primary care setting Dodia (Dépistage ophtalmologique du diabète) study. Diabetes Metab. 2005;31(2):153–62 PMID: 15959421.CrossRef Massin P, Aubert JP, Eschwege E, Erginay A, Bourovitch JC, BenMehidi A, et al. Evaluation of a screening program for diabetic retinopathy in a primary care setting Dodia (Dépistage ophtalmologique du diabète) study. Diabetes Metab. 2005;31(2):153–62 PMID: 15959421.CrossRef
52.
go back to reference Scanlon P, Foy C, Malhotra R, Aldington S. The influence of age, duration of diabetes, cataract, and pupil size on. Diabetes Care. 2005;28(10) PMID: 16186278.CrossRef Scanlon P, Foy C, Malhotra R, Aldington S. The influence of age, duration of diabetes, cataract, and pupil size on. Diabetes Care. 2005;28(10) PMID: 16186278.CrossRef
Metadata
Title
Systematic review and meta-analysis of diagnostic accuracy of detection of any level of diabetic retinopathy using digital retinal imaging
Authors
Mapa Mudiyanselage Prabhath Nishantha Piyasena
Gudlavalleti Venkata S. Murthy
Jennifer L. Y. Yip
Clare Gilbert
Tunde Peto
Iris Gordon
Suwin Hewage
Sureshkumar Kamalakannan
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2018
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-018-0846-y

Other articles of this Issue 1/2018

Systematic Reviews 1/2018 Go to the issue