Evidence map›Paper›PMID 41318850›Full record

ReviewEye (London, England)2026

Racial disparities in ophthalmology clinical trials: barriers to participation and potential solutions.

Kerollos Kamel, Amy J Yu, Alison Y Choi, Elham Sadeghi, Jay Chhablani

Abstract readReview
In one paragraph

Review in Eye (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kerollos KamelUniversity of Pittsburgh, School of Medicine, Pittsburgh, PA, USA.
Amy J Yu *University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA.
Alison Y Choi *University of Pittsburgh, School of Medicine, Pittsburgh, PA, USA.
Elham SadeghiDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Jay ChhablaniDepartment of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. jay.chhablani@gmail.com.ORCID 0000-0003-1772-3558

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health disparities among different racial groups have been a persistent issue in healthcare, as individuals from marginalised racial groups often experience reduced access to quality healthcare services and are frequently underrepresented in research, especially in clinical trials. This underrepresentation is rather evident in ophthalmology, where conditions like open-angle glaucoma and diabetic macular oedema disproportionately affect racial and ethnic minority patients. Despite the higher disease burden, historically marginalised minority groups are less likely to be enrolled in clinical trials, which may hinder the advancement of medical knowledge and the development of effective treatments for these populations. This narrative review provides a comprehensive overview of the potential barriers to ophthalmology clinical trial participation among racial minorities reported in the current literature, including institutional barriers, cultural and linguistic barriers, public awareness, structural barriers, and researcher and physician bias. By identifying and addressing these barriers, we aim to promote equitable representation in ophthalmology clinical trials and ensure that advancements in medical research benefit all racial and ethnic groups.

Indexed as

Clinical Trials as TopicHealthcare DisparitiesOphthalmologyPatient SelectionRacial GroupsEthnicityHealth Services AccessibilityHumans

Identifiers

PMID41318850
PMCPMC12881468

What OpenQuestion holds

Textmetadata
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.