ArticleAmerican journal of ophthalmology2017
Glaucoma Screening in Nepal: Cup-to-Disc Estimate With Standard Mydriatic Fundus Camera Compared to Portable Nonmydriatic Camera.
Article in American journal of ophthalmology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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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
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Who cites it
20 citing papers in PubMed, 42 citations in OpenAlex.
- Detection of Posterior Segment Eye Disease in Rural Eye Camps in South India: A Nonrandomized Cluster Trial.Ophthalmology. Retina · 2021Trial
- Comparison of portable devices with standard glaucoma diagnostic testing for the detection of glaucoma for the purposes of glaucoma case finding in low-and middle- income countries.Eye (London, England) · 2026Article
- Development of deep learning model to screen for primary open-angle glaucoma in African ancestry individuals.NPJ digital medicine · 2026Article
- Optical Coherence Tomography Versus Optic Disc Photo Assessment in Glaucoma Screening.Journal of glaucoma · 2024Review
- Advancing Glaucoma Care: Integrating Artificial Intelligence in Diagnosis, Management, and Progression Detection.Bioengineering (Basel, Switzerland) · 2024Review
- A Comprehensive Review of Methods and Equipment for Aiding Automatic Glaucoma Tracking.Diagnostics (Basel, Switzerland) · 2022Review
- Literature Review on Artificial Intelligence Methods for Glaucoma Screening, Segmentation, and Classification.Journal of imaging · 2022Review
- The Prevalence of Glaucoma in the Jirel Ethnic Group of Nepal.Frontiers in ophthalmology · 2022Article
- Artificial intelligence integrated smartphone fundus camera for screening the glaucomatous optic disc.Indian journal of ophthalmology · 2021Article
- Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.Progress in retinal and eye research · 2021Review
- A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression.Translational vision science & technology · 2020Review
- Deep learning-based automated detection of glaucomatous optic neuropathy on color fundus photographs.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2020Article
- A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs.American journal of ophthalmology · 2019Article
- Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile.PloS one · 2019Article
- Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs.Scientific reports · 2018Article
- The Definition of Glaucomatous Optic Neuropathy in Artificial Intelligence Research and Clinical Applications.Ophthalmology. GlaucomaArticle
- Early diagnostics and interventional glaucoma.Therapeutic advances in ophthalmologyReview
- A Case for the Use of Artificial Intelligence in Glaucoma Assessment.Ophthalmology. GlaucomaArticle
- Clinical validation of a smartphone-based handheld fundus camera for the evaluation of optic nerve head.Arquivos brasileiros de oftalmologiaArticle
- Severe Acute Respiratory Syndrome Coronavirus Disease 2019: More Safety at the Expense of More Medical Waste.Ophthalmology. GlaucomaArticle
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeTo compare cup-to-disc ratio (CDR) measurements from images taken with a portable, 45-degree nonmydriatic fundus camera to images from a traditional tabletop mydriatic fundus camera.
designProspective, cross-sectional, comparative instrument validation study.
methodsSetting: Clinic-based. STUDY POPULATION: A total of 422 eyes of 211 subjects were recruited from the Tilganga Institute of Ophthalmology (Kathmandu, Nepal). Two masked readers measured CDR and noted possible evidence of glaucoma (CDR ≥ 0.7 or the presence of a notch or disc hemorrhage) from fundus photographs taken with a nonmydriatic portable camera and a mydriatic standard camera. Each image was graded twice.
main outcome measuresEffect of camera modality on CDR measurement; inter- and intraobserver agreement for each camera for the diagnosis of glaucoma.
resultsA total of 196 eyes (46.5%) were diagnosed with glaucoma by chart review; 41.2%-59.0% of eyes were remotely diagnosed with glaucoma over grader, repeat measurement, and camera modality. There was no significant difference in CDR measurement between cameras after adjusting for grader and measurement order (estimate = 0.004, 95% confidence interval [CI], 0.003-0.011, P = .24). There was moderate interobserver reliability for the diagnosis of glaucoma (Pictor: κ = 0.54, CI, 0.46-0.61; Topcon: κ = 0.63, CI, 0.55-0.70) and moderate intraobserver agreement upon repeat grading (Pictor: κ = 0.63 and 0.64, for graders 1 and 2, respectively; Topcon: κ = 0.72 and 0.80, for graders 1 and 2, respectively).
conclusionsA portable, nonmydriatic, fundus camera can facilitate remote evaluation of disc images on par with standard mydriatic fundus photography.
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Registered trials
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.