Evidence map›Paper›PMID 38242339›Full record

SynthesisAmerican journal of ophthalmology2024

Social Determinants of Dry Eye in the United States: A Systematic Review.

Su-Hsun Liu, Daniel Shaughnessy, Louis Leslie, Kaleb Abbott, Alison G Abraham, Paul McCann, Ian J Saldanha, Riaz Qureshi, Tianjing Li

Abstract readSystematic Review
In one paragraph

Synthesis in American journal of ophthalmology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Review
  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

9 authors.

Su-Hsun LiuDepartment of Ophthalmology, School of Medicine (S.H.L., L.L., K.A., P.M., R.Q., T.L.), University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA; Department of Epidemiology (S.H.L., D.S., A.G.A., R.Q., T.L.), Colorado School of Public Health, Aurora, Colorado, USA.
Daniel ShaughnessyDepartment of Epidemiology (S.H.L., D.S., A.G.A., R.Q., T.L.), Colorado School of Public Health, Aurora, Colorado, USA.
Louis LeslieDepartment of Ophthalmology, School of Medicine (S.H.L., L.L., K.A., P.M., R.Q., T.L.), University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Kaleb AbbottDepartment of Ophthalmology, School of Medicine (S.H.L., L.L., K.A., P.M., R.Q., T.L.), University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Alison G AbrahamDepartment of Epidemiology (S.H.L., D.S., A.G.A., R.Q., T.L.), Colorado School of Public Health, Aurora, Colorado, USA.
Paul McCannDepartment of Ophthalmology, School of Medicine (S.H.L., L.L., K.A., P.M., R.Q., T.L.), University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Ian J SaldanhaDepartment of Epidemiology (I.J.S.), Bloomberg School of Public Health, Baltimore, Maryland, USA; Johns Hopkins Center for Clinical Trials and Evidence Synthesis (I.J.S.), Baltimore, Maryland, USA.
Riaz QureshiDepartment of Ophthalmology, School of Medicine (S.H.L., L.L., K.A., P.M., R.Q., T.L.), University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA; Department of Epidemiology (S.H.L., D.S., A.G.A., R.Q., T.L.), Colorado School of Public Health, Aurora, Colorado, USA.
Tianjing LiDepartment of Ophthalmology, School of Medicine (S.H.L., L.L., K.A., P.M., R.Q., T.L.), University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA; Department of Epidemiology (S.H.L., D.S., A.G.A., R.Q., T.L.), Colorado School of Public Health, Aurora, Colorado, USA. Electronic address: tianjing.li@cuanschutz.edu.

Funding

Maximizing Use of High-Quality Evidence in Eye Care: Cochrane Eyes and Vision US ProjectUG1EY020522 · NEI · UNIVERSITY OF COLORADO DENVER · PI Tianjing Li · 2017 to 2026
$10.1M
NEI NIH HHS UG1 EY020522
6 · The paper itself

Abstract

purposeTo conduct a systematic review to summarize current evidence on associations between social determinants of health (SDOH) indicators and dry eye in the United States.

designSystematic review.

methodsWe followed a protocol registered on Open Science Framework to include studies that examined associations between SDOH indicators and dry eye. We mapped SDOH indicators to 1 of the 5 domains following the Healthy People 2030 framework and categorized dry eye measures into "dry eye diagnosis and care," "dry eye symptoms," or "ocular surface parameters." We summarized the direction of association between SDOH indicators and dry eye as worsening, beneficial, or null. We used items from the Newcastle Ottawa Scale to assess risk of bias.

resultsEighteen studies reporting 51 SDOH indicators, mostly mapped to the neighborhood and built environment domain, were included. Thirteen studies were judged at high risk of bias. Fifteen of 19 (79%) associations revealed an increase in the diagnosis of dry eye or delayed specialty care for it. Thirty-four of 56 (61%) associations unveiled exacerbated dry eye symptoms. Fifteen of 23 (65%) found null associations with corneal fluorescein staining. Ten of 22 (45%) associations revealed an increased tear break up time (45%) whereas another 10 (45%) showed null associations.

conclusionsMost SDOH indicators studied were associated with unfavorable dry eye measures, such as a higher disease burden, worse symptoms, or delayed referral, in the United States. Future investigations between SDOH and dry eye should use standardized instruments and address the domains in which there is an evidence gap.

Indexed as

Dry Eye SyndromesSocial Determinants of HealthHumansRisk FactorsUnited States

Identifiers

PMID38242339
PMCPMC11031303

What Socratic 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 Socratic graph.