UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Screening Strategies and Methodologies

Founti, P; Stuart, K; Nolan, WP; Khawaja, AP; Foster, PJ; (2024) Screening Strategies and Methodologies. Journal of Glaucoma , 33 (Suppl 1) S15-S20. 10.1097/IJG.0000000000002426.

[thumbnail of Foster_JoG - Glaucoma Screening Manuscript - Screening methologies V3 submitted.pdf] Text
Foster_JoG - Glaucoma Screening Manuscript - Screening methologies V3 submitted.pdf
Access restricted to UCL open access staff until 20 August 2025.

Download (460kB)

Abstract

PRÉCIS: While glaucoma is a leading cause of irreversible vision loss, it presents technical challenges in the design and implementation of screening. New technologies such as PRS and AI offer potential improvements in our ability to identify people at high risk of sight loss from glaucoma and may improve the viability of screening for this important disease. PURPOSE: To review the current evidence and concepts around screening for glaucoma. METHODS/RESULTS: A group of glaucoma-focused clinician scientists drew on knowledge and experience around glaucoma, its etiology, and the options for screening. Glaucoma is a chronic progressive optic neuropathy affecting around 76 million individuals worldwide and is the leading cause of irreversible blindness globally. Early stages of the disease are asymptomatic meaning a substantial proportion of cases remain undiagnosed. Early detection and timely intervention reduce the risk of glaucoma-related visual morbidity. However, imperfect tests and a relatively low prevalence currently limit the viability of population-based screening approaches. The diagnostic yield of opportunistic screening strategies, relying on the identification of disease during unrelated health care encounters, such as cataract clinics and diabetic retinopathy screening programs, focusing on older people and/or those with a family history, are hindered by a large number of false-positive and false-negative results. Polygenic risk scores (PRS) offer personalized risk assessment for adult-onset glaucoma. In addition, artificial intelligence (AI) algorithms have shown impressive performance, comparable to expert humans, in discriminating between potentially glaucomatous and non-glaucomatous eyes. These emerging technologies may offer a meaningful improvement in diagnostic yield in glaucoma screening. CONCLUSIONS: While glaucoma is a leading cause of irreversible vision loss, it presents technical challenges in the design and implementation of screening. New technologies such as PRS and AI offer potential improvements in our ability to identify people at high risk of sight loss from glaucoma and may improve the viability of screening for this important disease.

Type: Article
Title: Screening Strategies and Methodologies
Location: United States
DOI: 10.1097/IJG.0000000000002426
Publisher version: http://dx.doi.org/10.1097/ijg.0000000000002426
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Humans, Glaucoma, Mass Screening, Blindness, Diagnostic Techniques, Ophthalmological, Early Diagnosis
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10196408
Downloads since deposit
64Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item