Literature DB >> 28528076

Systematic review: Can non-mydriatic cameras accurately detect diabetic retinopathy?

Chloe Bedard1, Siying Sherry Liu2, Christopher Patterson3, Hertzel Gerstein4, Lauren Griffith5.   

Abstract

AIMS: Diabetes puts many individuals at risk for developing diabetic retinopathy (DR). Non-mydriatic (NM) retinal photography without pharmacological pupil dilation can be used to detect DR, however, its value in a general clinical setting has not been established. The objective of this review is to evaluate the validity of NM retinal photos, as compared to the reference standard of seven standard stereoscopic 30 degree field photographs (7SF), for their use of detecting DR in community-dwelling adults.
METHODS: English articles were identified through MEDLINE (1992-2016), EMBASE (1992-2016), Center for Disease Control and Prevention, Food and Drug Administration, Health Canada, and Google Scholar (1992-2016). Only studies that examined the validity of NM retinal photos, without pharmacological pupil dilation, as compared to 7SF, used in a community-dwelling adult population were included. Risk of bias was assessed using the QUADAS-2.
RESULTS: Of the 368 articles identified in the search, 6 articles met eligibility requirements. Sensitivities ranged from 64 to 97.9% and specificities ranged from 65.6 to 98%. Studies that used multiple field images to detect DR in a younger population generally produced higher quality photos and more valid results.
CONCLUSIONS: The strongest validity indicators were reported in studies capturing multiple field images.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Community-dwelling adults; Diabetic retinopathy; Retinal photography; Validity

Mesh:

Year:  2017        PMID: 28528076     DOI: 10.1016/j.diabres.2017.04.024

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  5 in total

1.  Feasibility of telemedicine program using a hand-held nonmydriatic retinal camera in Panama.

Authors:  Alexander S Himstead; Janani Prasad; Sean Melucci; Kevin M Gustafson; Paul E Israelsen; Andrew Browne
Journal:  Int J Ophthalmol       Date:  2022-06-18       Impact factor: 1.645

2.  Remote screening of retinal and optic disc diseases using handheld nonmydriatic cameras in programmed routine occupational health checkups onsite at work centers.

Authors:  Miguel A Zapata; Ruth Martín; Claudia Garcia-Arumí; Alex Fonollosa; Ignacio Flores-Moreno; Roberto Gallego-Pinazo; Estanislao Gutiérrez; Maximino Abraldes; Javier Zarranz-Ventura
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-07-29       Impact factor: 3.117

3.  Accuracy of the smartphone-based nonmydriatic retinal camera in the detection of sight-threatening diabetic retinopathy.

Authors:  Vijayaraghavan Prathiba; Ramachandran Rajalakshmi; Subramaniam Arulmalar; Manoharan Usha; Radhakrishnan Subhashini; Clare E Gilbert; Ranjit Mohan Anjana; Viswanathan Mohan
Journal:  Indian J Ophthalmol       Date:  2020-02       Impact factor: 1.848

4.  Prevalence of and risk factors for diabetic retinopathy in residents with different types of abnormal glucose metabolism with or without hypertension: A suburban community-based cross-sectional study.

Authors:  Yuhang Ma; Hao Wang; Junyi Jiang; Changjing Han; Chunhua Lu; Siliang Zeng; Yufan Wang; Zhi Zheng; Yongde Peng; Xiaoying Ding
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-08       Impact factor: 6.055

5.  Implementation and sustainment of a statewide telemedicine diabetic retinopathy screening network for federally designated safety-net clinics.

Authors:  Ana Bastos de Carvalho; S Lee Ware; Feitong Lei; Heather M Bush; Robert Sprang; Eric B Higgins
Journal:  PLoS One       Date:  2020-11-04       Impact factor: 3.240

  5 in total

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