Evidence map›Paper›PMID 41416015›Full record

ArticleDiscover public health2024

Epidemiology of dry eye disease in Argentina.

María C Marini, Belén Liviero, Rodrigo M Torres, Gustavo Galperin, Jeremías G Galletti, Monica Alves

Abstract read
In one paragraph

Article in Discover public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
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.

María C MariniCornea and Ocular Surface Department, Hospital de Alta Complejidad El Cruce, Florencio Varela, Buenos Aires, Argentina.
Belén LivieroOcular Surface Department, Humana Centro Médico, Córdoba, Córdoba, Argentina.
Rodrigo M TorresR.O.M.A.T. Creator Center, Colonia Avellaneda, Entre Ríos, Argentina.ORCID 0000-0002-2214-7746
Gustavo GalperinHospital Oftalmológico Pedro Lagleyze, Ciudad de Buenos Aires, Buenos Aires, Argentina.
Jeremías G GallettiInstitute of Experimental Medicine, CONICET-National Academy of Medicine of Buenos Aires, Buenos Aires, Argentina.
Monica AlvesDepartment of Ophthalmology and Otorhinolaryngology, University of Campinas, Campinas, Brazil.

Funding

Wellcome Trust 221859
6 · The paper itself

Abstract

Background: To evaluate the prevalence of dry eye disease (DED) and its associated risk factors in a sample of the Argentine population. Methods: A prospective cross-sectional population-based study was conducted in Argentina during April 2022 through an anonymous electronic survey that included participants aged 12 years old or older. The prevalence of symptomatic DED was evaluated using the Women's Health Study (WHS) dry eye questionnaire. In addition, a list of conditions possibly related to dry eye were evaluated in the questionnaire to assess the prevalence of potential risk factors. A multivariate logistic regression analysis was performed. Results: 10,812 subjects (mean age 44.1 ± 13.9, range 12-94 years old) answered the survey. Overall prevalence of DED was 42.1%. DED prevalence in women was 45.1% (3848 out of 8525) and in men was 30.8% (704 out of 2287). Risk factors were female sex (OR 2.78; p < 0.001), age > 60 years (OR 2.92), rheumatologic disease (OR 2.80, CI 1.62-3.13), use of digital screens for more than 6 h per day (OR 2.62; CI 1.43-2.80), glaucoma topical treatment (OR 2.05; CI 1.20-3.01), dysthyroidism (2.03; CI 1.48-2.51), and sleeping less than 7 h per day (OR 1.92; CI 1.30-2.51). Conclusion: DED was found to be a prevalent condition among Argentine participants, the main risk factors were determined by sex, age, and especially those related to lifestyle in South America.

Indexed as

ArgentinaDry eyeEpidemiologyLifestyleOcular surfacePrevalenceRisk factorRisk factors in menSouth America

Identifiers

PMID41416015
PMCPMC7618490

What OpenQuestion holds

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Registered trials

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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.