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The Validity of the Distress Thermometer in Patients with Primary Open-Angle Glaucoma

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Year: 2026
Type: article
Study design: Observational Study
Source: Ophthalmology Glaucoma
DOI: 10.1016/j.ogla.2026.02.006
Authors: Natalie A. Chou, Eun Young Choi, Hannah M. Fisher, Davina Malek, Alessandro A. Jammal, Tamara J. Somers, Kelly W. Muir, Felipe A. Medeiros, Samuel I. Berchuck
Institutions: Duke University, Kaiser Permanente, Kaiser Permanente Santa Clara Medical Center, University of Miami, Duke Medical Center
Language: English

Topic: Glaucoma and retinal disorders
Subfield: Ophthalmology
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Eye Institute
Awards: G3814979593, Validation and Implementation of an Artificial Intelligence Machine-to-Machine (M2M) Model for Glaucoma Screening, The BCI (Brain Computer Interface) Glaucoma Study: Objective Home-Based Detection of Progressive Visual Function Loss in Glaucoma, Development of a program to assess and treat distress in glaucoma patients using an automated EHR-derived AI algorithm
OpenAlex ID: W7133237814
FWCI: 15.39
Cites: 50
Cited by: 2
Related to: 10
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