Evidence mapPaperPMID 37614846Full record

ReviewClinical ophthalmology (Auckland, N.Z.)2023

Accuracy of Low-Cost, Smartphone-Based Retinal Photography for Diabetic Retinopathy Screening: A Systematic Review.

Mohammad Eko Prayogo, Alfia Fatma Zaharo, Novandriati Nur Rizky Damayanti, Felicia Widyaputri, Jarir At Thobari, Vina Yanti Susanti, Muhammad Bayu Sasongko

Open access · goldAbstract readReview
In one paragraph

Review in Clinical ophthalmology (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. The march to harmonized imaging standards for retinal imaging.Progress in retinal and eye research · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Mohammad Eko PrayogoDepartment of Ophthalmology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada - Sardjito Eye Center, Dr. Sardjito General Hospital, Yogyakarta, Indonesia.
Alfia Fatma ZaharoDepartment of Ophthalmology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada - Sardjito Eye Center, Dr. Sardjito General Hospital, Yogyakarta, Indonesia.
Novandriati Nur Rizky DamayantiDepartment of Ophthalmology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada - Sardjito Eye Center, Dr. Sardjito General Hospital, Yogyakarta, Indonesia.
Felicia WidyaputriDepartment of Ophthalmology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada - Sardjito Eye Center, Dr. Sardjito General Hospital, Yogyakarta, Indonesia.ORCID 0000-0003-0247-5387
Jarir At ThobariDepartment of Pharmacology and Therapy, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Vina Yanti SusantiDepartment of Internal Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Muhammad Bayu SasongkoDepartment of Ophthalmology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada - Sardjito Eye Center, Dr. Sardjito General Hospital, Yogyakarta, Indonesia.ORCID 0000-0002-0366-8335
Universitas Gadjah Mada · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Diabetic retinopathy (DR) is a leading cause of blindness. Early DR screening is essential, but the infrastructure can be less affordable in low resource countries. This study aims to review the accuracy of low-cost smartphone-based fundus cameras for DR screening in adult patients with diabetes. Methods: We performed a systematic literature search to find studies that reported the sensitivity and specificity of low-cost smartphone-based devices for fundus photography in adult patients with diabetes. We searched three databases (MEDLINE, Google Scholar, Scopus) and one register (Cochrane CENTRAL). We presented the accuracy values by grouping the diagnosis into three: any DR, referrable DR, and diabetic macular oedema (DMO). Risk of bias and applicability of the studies were assessed using QUADAS-2. Results: Five out of 294 retrieved records were included with a total of six smartphone-based devices reviewed. All of the reference diagnostic methods used in the included studies were either indirect ophthalmoscopy or slit-lamp examinations and all smartphone-based devices' imaging protocols used mydriatic drops. The reported sensitivity and specificity for any DR were 52-92.2% and 73.3-99%; for referral DR were 21-91.4% and 64.9-100%; and for DMO were 29.4-81% and 95-100%, respectively. Conclusion: Sensitivity available low-cost smartphone-based devices for DR screening were acceptable and their specificity particularly for detecting referrable DR and DMO were considerably good. These findings support their potential utilization for DR screening in a low resources setting.

Indexed as

diabetic retinopathy screeninglow-cost retinal photographysmartphone-based funduscopytele-screening

Identifiers

PMID37614846
PMCPMC10443682
OpenAlexW4385982631

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.