Evidence map›Paper›PMID 39971589›Full record

SynthesisBMJ open ophthalmology2025

Prevalence of dry eye disease among children: a systematic review and meta-analysis.

Yuhao Zou, Dongfeng Li, Virgili Gianni, Nathan Congdon, Prabhath Piyasena, S Grace Prakalapakorn, Ruifan Zhang, Zixiang Zhao, Ving Fai Chan, Man Yu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMJ open ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Yuhao Zou *Department of Ophthalmology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Dongfeng Li *Department of Ophthalmology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.ORCID 0000-0002-1246-4174
Virgili GianniDepartment of NEUROFARBA, University of Florence, Firenze, Italy.
Nathan CongdonCenter for Public Health, Queen's University Belfast, Belfast, UK.
Prabhath PiyasenaCenter for Public Health, Queen's University Belfast, Belfast, UK.
S Grace PrakalapakornDepartments of Ophthalmology and Pediatrics, Duke University Medical Center, Durham, North Carolina, USA.
Ruifan ZhangDepartment of Ophthalmology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Zixiang ZhaoDepartment of Ophthalmology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Ving Fai ChanCenter for Public Health, Queen's University Belfast, Belfast, UK.ORCID 0000-0002-4968-7953
Man YuDepartment of Ophthalmology, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China yuman@med.uestc.edu.cn.ORCID 0000-0002-3523-0311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDry eye disease (DED) is a multifactorial disorder of the tear film and ocular surface instability that causes ocular discomfort and visual impairment. The increasing use of digital devices and changing lifestyle patterns have raised concerns about a potential rise in DED among children. Understanding the prevalence of paediatric DED is crucial for developing effective diagnostic and management strategies tailored to this vulnerable population.

methodAn exhaustive literature search was performed on several databases covering the period from 1 January 2001 to 1 April 2024. Prevalence estimates of DED were combined using random effects models, and heterogeneity sources were explored through subgroup and regression analyses.

resultsOur literature search identified 7309 articles, of which 41 articles, representing 42 study cohorts (48 479 participants) included in the systematic review. The estimated prevalence of DED among children was 23.7% (95% CI 18.5% to 28.9%). The prevalence of DED by different diagnostic criteria (clinical signs vs reported symptoms by questionnaire) was 16.6% (95% CI 13.7% to 19.5%; 26 studies; 27 107 children) vs 34.6% (95% CI 23.7% to 45.6%; 16 studies; 21 372 children; p<0.01), respectively. The prevalence of DED after the COVID-19 pandemic outbreak was 44.1% (95% CI 25.5% to 62.7%; 8 studies; 9163 children), which was significantly higher than the 18.7% (95% CI 15.6% to 21.9%; 34studies, 39 316 children; p=0.01) before the COVID-19 outbreak. High between-study heterogeneity was noted (I

conclusionsDED is common in children up to 18 years of age and poses a significant disease burden. Standardisation of the diagnosis of DED in children and further study of other risk factors are needed to fully explain the epidemiology of DED in children.

Indexed as

Dry Eye SyndromesChildGlobal HealthHumansPrevalenceChild health (paediatrics)Ocular surface

Identifiers

PMID39971589
PMCPMC11840909

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.