Evidence map›Paper›PMID 42841590›Full record

ArticleInvestigative ophthalmology & visual science2026

Effect of Visual Crowding on Quality of Life in Glaucoma Patients.

Marcus Guerreiro-Filho, Davina A Malek, Ali Azizi, Ivan M Tavares, Felipe A Medeiros

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Marcus Guerreiro-FilhoBascom Palmer Eye Institute, University of Miami, Miami, Florida, United States.
Davina A MalekBascom Palmer Eye Institute, University of Miami, Miami, Florida, United States.
Ali AziziBascom Palmer Eye Institute, University of Miami, Miami, Florida, United States.
Ivan M TavaresDepartment of Ophthalmology and Visual Sciences, Paulista School of Medicine, Universidade Federal de São Paulo, São Paulo, Brazil.
Felipe A MedeirosBascom Palmer Eye Institute, University of Miami, Miami, Florida, United States.

Funding

Validation and Implementation of an Artificial Intelligence Machine-to-Machine (M2M) Model for Glaucoma ScreeningR01EY036593 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Felipe Medeiros · 2024 to 2026
$1.8M
NEI NIH HHS R01 EY036593
6 · The paper itself

Abstract

Purpose: To investigate the association between visual crowding and vision-related quality of life (QoL) in patients with glaucoma. Methods: This cross-sectional study included 50 patients diagnosed with POAG. Visual crowding was quantified by measuring the critical spacing (Scritical). The Scritical was assessed in each visual field quadrant. For each eye, a global Scritical was calculated as the mean of the eligible quadrant-specific values. Vision-related QoL was assessed using the 25-item National Eye Institute Visual Function Questionnaire (NEI VFQ-25), scored using Rasch analysis. Associations between the Scritical and the NEI VFQ-25 Rasch-calibrated scores were examined using generalized estimating equations, with multivariable models adjusted for age and standard automated perimetry 24-2 mean deviation. Results: Among 50 patients with POAG (93 eyes; mean age, 67.9 ± 9.2 years), the mean Rasch-calibrated NEI VFQ-25 score was 59.9 ± 18.8. In univariable analyses, each 1-degree increase in the better-eye global Scritical was associated with a 5.69-point lower NEI VFQ-25 score (95% confidence interval, -10.43 to -0.96; P = 0.018), and each 1-degree increase in the worse-eye Scritical was associated with a 2.23-point lower score (95% confidence interval, -4.38 to -0.08; P = 0.042). In multivariable analysis adjusting for age and standard automated perimetry mean deviation, the better-eye Scritical remained independently associated with a worse QoL (-5.02 points per degree; 95% confidence interval, -9.59 to -0.45; P = 0.031). Conclusions: Visual crowding is independently associated with worse vision-related QoL in patients with glaucoma, even after adjustment for standard perimetric loss. These findings suggest that visual crowding captures clinically meaningful aspects of visual dysfunction beyond conventional perimetry.

Indexed as

Glaucoma, Open-AngleQuality of LifeVision DisordersVisual FieldsAgedCross-Sectional StudiesFemaleHumansIntraocular PressureMaleMiddle AgedSickness Impact ProfileSurveys and QuestionnairesVisual AcuityVisual Field Tests

Identifiers

PMID42841590
PMCPMC13657127

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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.