ArticleJournal of clinical medicine2021
Diagnostic Accuracy and Detection Rate of Glaucoma Screening with Optic Disk Photos, Optical Coherence Tomography Images, and Telemedicine.
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 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- CAD-EYE: An Automated System for Multi-Eye Disease Classification Using Feature Fusion with Deep Learning Models and Fluorescence Imaging for Enhanced Interpretability.Diagnostics (Basel, Switzerland) · 2024Article
- The value of virtual glaucoma clinics: a review.Eye (London, England) · 2024Review
- Deep Learning Evaluation of Glaucoma Detection Using Fundus Photographs in Highly Myopic Populations.Biomedicines · 2024Article
- NMI, POLR3G and APIP are the key molecules connecting glaucoma with high intraocular pressure: a clue for early diagnostic biomarker candidates.International journal of ophthalmology · 2024Article
- Code-Free Deep Learning Glaucoma Detection on Color Fundus Images.Ophthalmology scienceArticle
- Bibliometric and Visualized Analysis of Ophthalmic Imaging Technology for Glaucoma Diagnosis from 2015 to 2024.Journal of current ophthalmologyArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
purposeThe aim of this study was to evaluate the diagnostic accuracy of optical coherence tomography (OCT) and retinography in the detection of glaucoma through a telemedicine program.
methodsA population-based sample of 4113 persons was randomly selected. The screening examination included a fundus photograph and OCT images. Images were evaluated on a deferred basis. All participants were then invited to a complete glaucoma examination, including gonioscopy, visual field, and dilated fundus examination. The detection rate, sensitivity, specificity, and positive and negative predictive values were calculated.
resultsWe screened 1006 persons. Of these, 201 (19.9%) were classified as glaucoma suspects; 20.4% were identified only by retinographs, 11.9% only by OCT images, and 46.3% by both. On ophthalmic examination at the hospital (
conclusionsThe combination of OCT images and fundus photographs yielded a detection rate of 9.2% in a population-based screening program with moderate sensitivity, high specificity, and predictive values of 84-96%.
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Registered trials
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