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Meta-Analysis
. 2018 Nov 7;7(1):182.
doi: 10.1186/s13643-018-0846-y.

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

Affiliations
Meta-Analysis

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

Mapa Mudiyanselage Prabhath Nishantha Piyasena et al. Syst Rev. .

Erratum in

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.

Keywords: Diabetes mellitus; Diabetic retinopathy; Diagnostic test accuracy; Digital imaging; Low income; Mydriatic; Non-mydriatic; Screening.

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Conflict of interest statement

Ethics approval and consent to participate

Ethics approval was obtained from Research Ethics Committee of London School of Hygiene and Tropical Medicine, UK.

Consent for publication

The authors provided an approval for publication in BMC Systematic Review.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
PRISMA flow diagram of the study selection process
Fig. 2
Fig. 2
Proportion of included studies with a risk of bias
Fig. 3
Fig. 3
Proportion of included studies with applicability concerns
Fig. 4
Fig. 4
Forest plot of summary estimates of sensitivity of non-mydriatic imaging using different field strategies (1: one field, 2: two fields, 3: greater than two fields)
Fig. 5
Fig. 5
Forest plot of summary estimates of specificity of non-mydriatic imaging using different field strategies (1: one field, 2: two fields, 3: greater than two fields)
Fig. 6
Fig. 6
Forest plot of summary estimates of sensitivity of mydriatic imaging using different field strategies (1: one field, 2: two fields, 3: greater than two fields)
Fig. 7
Fig. 7
Forest plot of summary estimates of specificity of mydriatic imaging using different field strategies (1: one field, 2: two fields, 3: greater than two fields)
Fig. 8
Fig. 8
HSROC curve in non-mydriatic imaging strategies
Fig. 9
Fig. 9
HSROC curve in mydriatic imaging strategies
Fig. 10
Fig. 10
HSROC curves by field strategy and pupil status

References

    1. Whiting DR, Guariguata L, Weil C, Shaw J. Global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011;94(3):311–321. doi: 10.1016/j.diabres.2011.10.029. - DOI - PubMed
    1. Diabetes - International Diabetes Federation. 2017. http://www.idf.org/idf-diabetes-atlas-seventh-edition. Accessed 10 Jan 2018. - PubMed
    1. Shaw JE, Sicree RA, Zimmet PZ. Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pr. 2010;87(1):04–14. doi: 10.1016/j.diabres.2009.10.007. - DOI - PubMed
    1. Guariguata L, Whiting DR, Hambleton I, Beagley J. Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract. 2013;103(2):137–149. doi: 10.1016/j.diabres.2013.11.002. - DOI - PubMed
    1. Klein Ronald, Klein Barbara E.K. Retina. 2013. The Epidemiology of Diabetic Retinopathy; pp. 907–924.

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