Evidence map›Paper›PMID 39321931›Full record

ArticleOphthalmology2025

Disparities in Amblyopia Treatment Outcomes: The Impact of Sociodemographic Factors, Treatment Compliance, and Age of Diagnosis.

Kate Matsunaga, Archeta Rajagopalan, Sudha Nallasamy, Angeline Nguyen, Alexander de Castro-Abeger, Mark S Borchert, Melinda Y Chang

Abstract read
In one paragraph

Article in Ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Kate MatsunagaDepartment of Ophthalmology, University of Southern California, Los Angeles, California.
Archeta RajagopalanDepartment of Ophthalmology, University of Southern California, Los Angeles, California.
Sudha NallasamyDepartment of Ophthalmology, University of Southern California, Los Angeles, California; Division of Ophthalmology, Children's Hospital Los Angeles, Los Angeles, California.
Angeline NguyenDepartment of Ophthalmology, University of Southern California, Los Angeles, California; Division of Ophthalmology, Children's Hospital Los Angeles, Los Angeles, California.
Alexander de Castro-AbegerDepartment of Ophthalmology, University of Southern California, Los Angeles, California; Division of Ophthalmology, Children's Hospital Los Angeles, Los Angeles, California.
Mark S BorchertDepartment of Ophthalmology, University of Southern California, Los Angeles, California; Division of Ophthalmology, Children's Hospital Los Angeles, Los Angeles, California.
Melinda Y ChangDepartment of Ophthalmology, University of Southern California, Los Angeles, California; Division of Ophthalmology, Children's Hospital Los Angeles, Los Angeles, California. Electronic address: Melinda.y.wu@gmail.com.

Funding

Validating a machine learning model of eye tracking in children with cortical visual impairment (CVI)K23EY033790 · NEI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Melinda Chang · 2022 to 2026
$1.2M
NEI NIH HHS K23 EY033790
6 · The paper itself

Abstract

purposeTo identify clinical and sociodemographic factors associated with disparities in amblyopia treatment outcomes.

designRetrospective chart review.

participantsChildren ≤ 8 years of age diagnosed and treated for unilateral refractive or strabismic amblyopia at our institution from 2012 to 2022.

methodsChildren with amblyopia were categorized by outcome: resolved amblyopia (< 0.2 logarithm of the minimum angle of resolution [logMAR] interocular difference [IOD] in visual acuity [VA] or no fixation preference in nonverbal patients) or persistent amblyopia. Demographic and clinical data were recorded from the medical record. Zip codes were used to calculate Childhood Opportunity Index (COI) scores, estimated annual household income, and distance to hospital.

main outcome measuresSociodemographic and clinical factors were compared between children with resolved and persistent amblyopia. Factors significant at P < 0.10 on univariate analysis were included in a multivariable regression model.

resultsA total of 168 patients met inclusion criteria, and 131 patients (78%) had resolved amblyopia. Demographic factors associated with resolution of amblyopia were younger age at diagnosis (3.3 ± 1.7 years vs. 4.5 ± 1.9 years; P = 0.0009), English as the primary language (79.4% vs. 62.2%; P = 0.04), higher estimated annual income ($83 315.93 ± $29 276.64 vs. $71 623.00 ± $26 842.56; P = 0.03), higher COI scores (50.9 ± 27.3 vs. 40.0 ± 26.4; P = 0.03), and living farther from our institution (28.6 ± 37.6 miles vs. 14.9 ± 12.7 miles; P = 0.003). Patients with resolved amblyopia also had higher rates of treatment compliance (83.2% ± 25.0% vs. 75.6% ± 24.4%; P = 0.009) and shorter delays in follow-up (40.1 ± 76.8 days vs. 61.1 ± 90.4 days; P = 0.02). Amblyopia persistence was borderline associated with governmental insurance and higher presenting IOD in VA (both P = 0.06). On multivariate analysis, only younger age at amblyopia diagnosis (P = 0.0010) remained significantly associated with amblyopia resolution.

conclusionsOur findings suggest that disparities in amblyopia outcomes are related to differences in age at diagnosis. Interventions to lower the age at which amblyopia is diagnosed, such as programs to improve vision screening rates and access to pediatric eye care in at-risk groups, may directly address inequities in rates of amblyopia resolution. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Indexed as

AmblyopiaHealthcare DisparitiesPatient ComplianceAge FactorsChildChild, PreschoolFemaleHumansInfantMaleRetrospective StudiesSensory DeprivationSociodemographic FactorsSocioeconomic FactorsTreatment OutcomeVisual AcuityAmblyopiaDiversity equity and inclusionVision screening

Identifiers

PMID39321931
PMCPMC11846700

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.