ArticleJournal of glaucoma2021
Lessons Learned From 2 Large Community-based Glaucoma Screening Studies.
Article in Journal of glaucoma, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 25 citations in OpenAlex.
- Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): optometric exam improves access and utilization of eye care services.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024Trial
- Manhattan Vision Screening and Follow-up Study (NYC-SIGHT): Baseline Results and Costs of a Cluster-Randomized Trial.American journal of ophthalmology · 2023Trial
- Results of a Targeted Glaucoma Screening Project Conducted Outside Formal Healthcare Settings in Croatia.Journal of clinical medicine · 2025Article
- A generalised computer vision model for improved glaucoma screening using fundus images.Eye (London, England) · 2025Article
- Domain Adaptation-Based Deep Learning Model for Forecasting and Diagnosis of Glaucoma Disease.Biomedical signal processing and control · 2024Article
- Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): Subanalysis of Referral to Ophthalmology.Current eye research · 2024Article
- Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served populations.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- Primary Open-Angle Glaucoma Diagnosis from Optic Disc Photographs Using a Siamese Network.Ophthalmology science · 2022Article
- Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction.Machine learning in medical imaging. MLMI (Workshop) · 2022Article
- Automated diagnosing primary open-angle glaucoma from fundus image by simulating human's grading with deep learning.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
Community-based screening programs have had limited success in preventing vision loss from glaucoma due to overall low prevalence of glaucoma, screening limitations, and barriers to follow-up appointments. This editorial highlights lessons learned from 2 large prospective trials: the Philadelphia Telemedicine Glaucoma Detection and Follow-up Study and the Screening To Prevent Glaucoma Study. While some lessons are specific to ophthalmology, many lessons are applicable to screening for asymptomatic diseases in underserved, vulnerable communities.
Indexed as
Identifiers
What OpenQuestion holds
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.