Evidence map›Paper›PMID 27168366›Full record

ArticleInvestigative ophthalmology & visual science2016

Prevalence of Glaucoma in the United States: The 2005-2008 National Health and Nutrition Examination Survey.

Priya Gupta, Di Zhao, Eliseo Guallar, Fang Ko, Michael V Boland, David S Friedman

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 89 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

89 citing papers in PubMed, 1 synthesis or guideline pooled it, 184 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. From environmental exposure to retinal pathology: epidemiological and mechanistic insights into multi-metal driven ocular diseases.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
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  20. Disparities in glaucoma and macular degeneration healthcare utilization among persons living with dementia in the United States.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article

29 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Priya GuptaWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
Di ZhaoDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States 3Dana Center for Preventive Ophthalmology, Wilme.
Eliseo GuallarDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States 3Dana Center for Preventive Ophthalmology, Wilme.
Fang KoGlaucoma, Moorfields Eye Hospital, London, United Kingdom.
Michael V BolandWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States 5Division of Health Sciences Informatics, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States.
David S FriedmanWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States 4Glaucoma, Moorfields Eye Hospital, London, United Kingdom.
Johns Hopkins Medicine · USJohns Hopkins University · USMoorfields Eye Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo estimate the prevalence of glaucoma in the US population based on optic nerve head photography, to estimate the prevalence of glaucoma awareness, and to identify demographic and ocular risk factors for being unaware of having glaucoma.

methodsThe study included 5746 men and women 40 years of age and older participating in the National Health and Nutrition Examination Survey (NHANES) 2005-2008. Each participant had 45° photographs of the macula and optic disc of both eyes. Fundus photographs were first graded by a reading center, and those with a cup-to-disc ratio (CDR) ≥ 0.6 were regraded by three glaucoma specialists to determine the presence or absence of glaucoma. Analyses were performed using NHANES weights to account for the complex multistage probability sampling design.

resultsThe estimated overall prevalence of glaucoma in the US civilian, noninstitutionalized population 40 years of age and older was 2.1% (95% confidence interval [CI], 1.7%-2.6%). Glaucoma affected 2.9 million individuals, including 1.4 million women; 1.5 million men; 2.3 million people 60 years of age and older; and 0.9 million blacks, Mexican Americans, and people of other races. The prevalence of glaucoma was highest in non-Hispanic blacks, followed by non-Hispanic whites, Mexican Americans, and others. Over half of participants with glaucoma were unaware that they had the disease.

conclusionsThe prevalence of glaucoma based on optic nerve fundus photography assessment in the general US population 40 years of age and older was 2.1%. Approximately half of glaucoma cases were previously undiagnosed. Studies to determine whether and how to identify undiagnosed glaucoma are an important next step.

Indexed as

EthnicityNutrition SurveysAdultAge DistributionCross-Sectional StudiesFemaleGlaucomaHumansMaleMiddle AgedOptic DiskPhotographyPrevalenceRetrospective StudiesRisk FactorsSex Distribution

Identifiers

PMID27168366
PMCPMC4868098
OpenAlexW881471371

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.