Evidence map›Paper›PMID 33789846›Full record

ArticleThe British journal of ophthalmology2022

Prevalence and risk factors for chalazion in an older veteran population.

Sneh Patel, Natalia Tohme, Emmanuel Gorrin, Naresh Kumar, Brian Goldhagen, Anat Galor

Open access · greenAbstract read
In one paragraph

Article in The British journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Sneh PatelBascom Palmer Eye Institute, University of Miami Health System, Miami, Florida, USA.
Natalia TohmeDepartment of Epidemiology and Public Health, University of Miami, Miami, Florida, USA.
Emmanuel GorrinDepartment of Epidemiology and Public Health, University of Miami, Miami, Florida, USA.
Naresh KumarPublic Health Sciences, Miller School of Medicine, University of Miami, Miami, Florida, USA.ORCID http://orcid.org/0000-0001-6200-9172
Brian GoldhagenBascom Palmer Eye Institute, University of Miami Health System, Miami, Florida, USA.
Anat GalorBascom Palmer Eye Institute, University of Miami Health System, Miami, Florida, USA agalor@med.miami.edu.ORCID http://orcid.org/0000-0002-3026-6155
University of Miami · USUniversity of Miami Health System · US

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Victor L Perez · 2004 to 2026
$12.2M
Tear protein biomarkers of refractive surgery painR61EY032468 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI AICHER, SUE A, GALOR, ANAT · 2020 to 2022
$2.0M
Dry Eye and MicroenvironmentR01EY026174 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GALOR, ANAT, KUMAR, NARESH · 2016 to 2020
$1.9M
Lipid mediators and their signaling in ocular surface inflammation and meibomian gland dysfunctionI01BX004893 · VA · MIAMI VA HEALTH CARE SYSTEM · PI GALOR, ANAT, MANDAL, NAWAJES · 2021 to 2025
–
Neural mechanisms underlying photophobia and dry eyeI01CX002015 · VA · MIAMI VA HEALTH CARE SYSTEM · PI Anat Galor · 2020 to 2026
–
BLRD VA I01 BX004893CSRD VA I01 CX002015NEI NIH HHS P30 EY014801NEI NIH HHS R01 EY026174NEI NIH HHS R61 EY032468
6 · The paper itself

Abstract

backgroundChalazia are common inflammatory eyelid lesions, but their epidemiology remains understudied. This retrospective case-control study examined the prevalence, risk factors and geographic distribution of chalazia in a large veteran population.

methodsData on all individuals seen at a Veterans Affairs (VA) clinic between October 2010 and October 2015 were extracted from the VA health database. Subjects were grouped based on International Classification of Diseases, Ninth Revision (ICD-9) code for chalazion. Univariable logistic regression modelling was used to identify clinical and demographic factors associated with chalazion presence, followed by multivariable modelling to examine which factors predicted risk concomitantly. All cases were mapped across the continental US using geographic information systems modelling to examine how prevalence rates varied geographically.

resultsOverall, 208 720 of 3 453 944 (6.04%) subjects were diagnosed with chalazion during the study period. Prevalence was highest in coastal regions. The mean age of the population was 69.32±13.9 years and most patients were male (93.47%), white (77.13%) and non-Hispanic (93.72%). Factors associated with chalazion risk included smoking (OR=1.12, p<0.0005), conditions of the tear film (blepharitis (OR=4.84, p<0.0005), conjunctivitis (OR=2.78, p<0.0005), dry eye (OR=3.0, p<0.0005)), conditions affecting periocular skin (eyelid dermatitis (OR=2.95, p<0.0005), rosacea (OR=2.50, p<0.0005)), allergic conditions (history of allergies (OR=1.56, p<0.0005)) and systemic disorders (gastritis (OR=1.54, p<0.0005), irritable bowel syndrome (OR=1.45, p<0.0005), depression (OR=1.35, p<0.0005), anxiety (OR=1.31, p<0.0005)). These factors remained associated with chalazion risk when examined concomitantly.

conclusionPeriocular skin, eyelid margin and tear film abnormalities were most strongly associated with risk for chalazion. The impact of environmental conditions on risk for chalazion represents an area in need of further study.

Indexed as

BlepharitisChalazionVeteransAgedAged, 80 and overCase-Control StudiesFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorscorneaCOVID-19epidemiologyeye lidsinfection

Identifiers

PMID33789846
PMCPMC8481354
OpenAlexW3146133617

What OpenQuestion holds

Textmetadata
LicenceTDM
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.