Evidence map›Paper›PMID 35011754›Full record

ArticleJournal of clinical medicine2021

Validation of an Automated Screening System for Diabetic Retinopathy Operating under Real Clinical Conditions.

Soledad Jimenez-Carmona, Pedro Alemany-Marquez, Pablo Alvarez-Ramos, Eduardo Mayoral, Manuel Aguilar-Diosdado

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
–field-weighted citation impact
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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Soledad Jimenez-CarmonaOphthalmology Department, Hospital Universitario Puerta del Mar, University of Cadiz, 11009 Cadiz, Spain.ORCID 0000-0002-9593-3924
Pedro Alemany-MarquezOphthalmology Department, Hospital Universitario Puerta del Mar, University of Cadiz, 11009 Cadiz, Spain.ORCID 0000-0003-4276-5194
Pablo Alvarez-RamosOphthalmology Department, Hospital Universitario Puerta del Mar, University of Cadiz, 11009 Cadiz, Spain.
Eduardo MayoralComprehensive Healthcare Plan for Diabetes, Regional Ministry of Health and Families of Andalusia, Government of Andalusia, 41020 Seville, Spain.
Manuel Aguilar-DiosdadoBiomedical Research and Innovation Institute of Cadiz (INiBICA), 11009 Cadiz, Spain.

Funding

Instituto de Salud Carlos III PI16-01543
6 · The paper itself

Abstract

backgroundRetinopathy is the most common microvascular complication of diabetes mellitus. It is the leading cause of blindness among working-aged people in developed countries. The use of telemedicine in the screening system has enabled the application of large-scale population-based programs for early retinopathy detection in diabetic patients. However, the need to support ophthalmologists with other trained personnel remains a barrier to broadening its implementation.

methodsAutomatic diagnosis of diabetic retinopathy was carried out through the analysis of retinal photographs using the 2iRetinex software. We compared the categorical diagnoses of absence/presence of retinopathy issued by family physicians (PCP) with the same categories provided by the algorithm (ALG). The agreed diagnosis of three specialist ophthalmologists is used as the reference standard (OPH).

resultsThere were 653 of 3520 patients diagnosed with diabetic retinopathy (DR). Diabetic retinopathy threatening to vision (STDR) was found in 82 patients (2.3%). Diagnostic sensitivity for STDR was 94% (ALG) and 95% (PCP). No patient with proliferating or severe DR was misdiagnosed in both strategies. The k-value of the agreement between the ALG and OPH was 0.5462, while between PCP and OPH was 0.5251 (

conclusionsThe diagnostic capacity of 2iRetinex operating under normal clinical conditions is comparable to screening physicians.

Indexed as

diabetic retinopathydiagnostic accuracypopulation-based screeningsight-threatening diabetic retinopathyteleophthalmology

Identifiers

PMID35011754
PMCPMC8745311

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