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Cited by 390

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

An Assessment of the Health and Economic Burdens of Glaucoma

Open access
Varma, Rohit, Lee, Paul P., Goldberg, Ivan, Kotak, Sameer·2011·American Journal of Ophthalmology

Abstract

Purpose To bring together information concerning the epidemiology and the economic and individual burdens of glaucoma. Design Interpretive essay. Methods Review and synthesis of selected literature published from 1991 through December 2010. Results An estimated 3% of the global population over 40 years of age currently has glaucoma, the majority of whom are undiagnosed. Vision loss from glaucoma has a significant impact on health-related quality of life even in the early stages of disease. The overall burden increases as glaucomatous damage and vision loss progress. The economic burden of glaucoma is significant and increases as the disease worsens. Conclusions Early identification and treatment of patients with glaucoma and those with ocular hypertension at high risk of developing vision loss are likely to reduce an individual's loss of health-related quality of life as well as the personal and societal economic burdens.

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Metadata

Authors
Varma, R., Lee, P. P., Goldberg, I., & Kotak, S.
Venue
American Journal of Ophthalmology
Publisher
Elsevier BV
Published
2011-10
Volume
152
Issue
4
Pages
515-522
ISSN
0002-9394 (ISSN-L)
OpenAlex
W1987621316
Cited by
390
References
32
FWCI
10.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An Assessment of the Health and Economic Burdens of Glaucoma. https://app.cochat.ai/papers/10.1016/j.ajo.2011.06.004
The paper
Varma, R., Lee, P. P., Goldberg, I., & Kotak, S. (2011). An Assessment of the Health and Economic Burdens of Glaucoma. American Journal of Ophthalmology. https://doi.org/10.1016/j.ajo.2011.06.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.