Evidence map›Paper›PMID 36058733›Full record

ArticleOphthalmology2022

Data Sources for Evaluating Health Disparities in Ophthalmology: Where We Are and Where We Need to Go.

Sally L Baxter, Kristen Nwanyanwu, Gary Legault, Aaron Y Lee

Abstract read
In one paragraph

Article in Ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Sally L BaxterViterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California; Health Department of Biomedical Informatics, University of California San Diego, La Jolla, California.
Kristen NwanyanwuDepartment of Ophthalmology and Visual Science, Yale University, New Haven, Connecticut.
Gary LegaultDepartment of Ophthalmology, Brooke Army Medical Center, Fort Sam Houston, Texas.
Aaron Y LeeDepartment of Ophthalmology, University of Washington, Seattle, Washington. Electronic address: leeay@uw.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Multi-modal Health Information Technology Innovations for Precision Management of GlaucomaDP5OD029610 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BAXTER, SALLY LIU · 2020 to 2024
$2.1M
Epidemiology and clinical outcomes of diabetic macular edemaK23EY029246 · NEI · UNIVERSITY OF WASHINGTON · PI LEE, AARON · 2018 to 2022
$1.1M
NCATS NIH HHS UL1 TR001863NEI NIH HHS K23 EY029246NIH HHS DP5 OD029610
6 · The paper itself

Abstract

Data provide an opportunity to discover disparities and inequities that may otherwise be unrecognized. Within the American Academy of Ophthalmology (AAO) Task Force on Disparities in Eye Care, the Leveraging Data Sub-task Force was charged with identifying data sources to study health disparities in eye care and to leverage data to advance health equity. We evaluated large data sources to determine their strengths, deficiencies, and relative accessibility in relation to the likelihood of identifying eye care disparities. We highlight the current challenges with these data sources and review key recommendations for improving future sources for studying health disparities in eye care.

Indexed as

OphthalmologyAcademies and InstitutesHealthcare DisparitiesHumansInformation Storage and RetrievalUnited States

Identifiers

PMID36058733
PMCPMC9509471

What OpenQuestion holds

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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.