Evidence map›Paper›PMID 37278426›Full record

ReviewBMJ open ophthalmology2023

Sociodemographic disparities in ophthalmological clinical trials.

Luis Filipe Nakayama, William Greig Mitchell, Skyler Shapiro, Alvina Pauline D Santiago, Warachaya Phanphruk, Khumbo Kalua, Leo Anthony Celi, Caio Vinicius Saito Regatieri

Open access · goldAbstract readReview
In one paragraph

Review in BMJ open ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
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

8 authors at 8 institutions in 6 countries.

Luis Filipe NakayamaLaboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA luisnaka@mit.edu.ORCID 0000-0002-6847-6748
William Greig MitchellOphthalmology, The Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia.
Skyler ShapiroLaboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Alvina Pauline D SantiagoDepartment of Ophthalmology and Visual Sciences, Philippine General Hospital, Manila, Metro Manila, Philippines.
Warachaya PhanphrukOphthalmology, Khon Kaen University, Nai Mueang, Khon Kaen, Thailand.
Khumbo KaluaOphthalmology, Kamuzu University of Health Sciences, Blantyre, Southern Region, Malawi.
Leo Anthony CeliLaboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Caio Vinicius Saito RegatieriOphthalmology, Federal University of Sao Paulo, Sao Paulo, Brazil.
Cornell University · USHarvard University · USKamuzu Central Hospital · MWKhon Kaen University · THMassachusetts Institute of Technology · USPhilippine General Hospital · PHThe Royal Victorian Eye & Ear Hospital · AUUniversidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn ophthalmology, clinical trials (CTs) guide the treatment of diseases such as diabetic retinopathy, myopia, age-related macular degeneration, glaucoma and keratoconus with distinct presentations, pathological characteristics and responses to treatment in minority populations.Reporting gender and race and ethnicity in healthcare studies is currently recommended by National Institutes of Health (NIH) and Food and Drug Administration (FDA) guidelines to ensure representativeness and generalisability; however, CT results that include this information have been limited in the past 30 years.The objective of this review is to analyse the sociodemographic disparities in ophthalmological phases III and IV CT based on publicly available data.

methodsThis study included phases III and IV complete ophthalmological CT available from clinicaltrials.org, and describes the country distribution, race and ethnicity description and gender, and funding characteristics.

resultsAfter a screening process, we included 654 CTs, with findings that corroborate the previous CT reviews' findings that most ophthalmological participants are white and from high-income countries. A description of race and ethnicity is reported in 37.1% of studies but less frequently included within the most studied ophthalmological specialty area (cornea, retina, glaucoma and cataracts). The incidence of race and ethnicity reporting has improved during the past 7 years. DISCUSSION: Although NIH and FDA promote guidelines to improve generalisability in healthcare studies, the inclusion of race and ethnicity in publications and diverse participants in ophthalmological CT is still limited. Actions from the research community and related stakeholders are necessary to increase representativeness and guarantee generalisability in ophthalmological research results to optimise care and reduce related healthcare disparities.

Indexed as

CataractGlaucomaOphthalmologyEthnicityHumansMinority GroupsUnited StatesClinical TrialEpidemiologyPublic health

Identifiers

PMID37278426
PMCPMC9950885
OpenAlexW4321639027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.