Evidence map›Paper›PMID 41257814›Full record

ArticleInternational journal of retina and vitreous2025

Evaluation of the degree of agreement in the diagnosis of diabetic retinopathy between ophthalmologists and EyeArt

Isabel Inmaculada Guedes Guedes, Pedro Saavedra Santana, Francisco Cabrera López, Ángel Ramos Macías, Ángel Ramos de Miguel, Ayoze González Hernández

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Article in International journal of retina and vitreous, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Isabel Inmaculada Guedes GuedesOphthalmology, Complejo Hospitalario Universitario Insular Materno Infantil de Gran Canaria, University of Las Palmas de Gran Canaria (ULPGC), Avda Marítima Del sur s/n. 35016, Las Palmas de Gran Canaria, Las Palmas, Spain. isabel.guedes.oft@gmail.com.
Pedro Saavedra SantanaDepartment of Mathematics, University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain.
Francisco Cabrera LópezOphthalmology, Complejo Hospitalario Universitario Insular Materno Infantil de Gran Canaria, University of Las Palmas de Gran Canaria (ULPGC), Avda Marítima Del sur s/n. 35016, Las Palmas de Gran Canaria, Las Palmas, Spain.
Ángel Ramos MacíasOtolaryngology, Complejo Hospitalario Universitario Insular Materno Infantil de Gran Canaria, University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain.
Ángel Ramos de MiguelDepartment of Otolaryngology and Head and Neck Surgery University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain.
Ayoze González HernándezNeurology, Hospital Universitario de Gran Canaria Doctor Negrín, Fernando Pessoa University, Las Palmas de Gran Canaria, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective or purposeTo evaluate the diagnostic performance and agreement of the EyeArt

designCross-sectional observational study. SUBJECTS, PARTICIPANTS, AND/OR CONTROLS: A total of 498 diabetic patients aged 18 years or older were enrolled between June and September 2023 through the Retisalud DR screening program in the Canary Islands. No separate control group was included.

methodsAll participants underwent non-mydriatic fundus photography using the TRC-NW400 camera. Retinal images were analyzed by the EyeArt

main outcome measuresSensitivity, specificity, and agreement (Cohen's kappa) of the AI system compared to clinical diagnosis; predictors of DR such as age, diabetes duration, presence of Diabetic Macular Edema (DME), and central retinal thickness (CRT-OCT).

resultsThe EyeArt® system achieved a binocular sensitivity of 100% (95% CI: 98.1-100) and a specificity of 93.5% (95% CI: 90.2-96.0). Agreement with ophthalmologist grading was excellent, with kappa values of 0.966 (right eye) and 0.978 (left eye). Younger age, longer diabetes duration, DME presence, and higher CRT were significantly associated with DR diagnosis.

conclusionsThe EyeArt

Indexed as

Artificial intelligenceArtificial intelligence detection of diabetic retinopathyAutomated diabetic retinopathyAutomated retinal imageDiabetic retinopathy

Identifiers

PMID41257814
PMCPMC12628637

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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 OpenQuestion graph.