Evidence map›Paper›PMID 36845305›Full record

ArticleJournal of clinical and translational science2023

Enrollment of underrepresented racial and ethnic groups in the Rare and Atypical Diabetes Network (RADIANT).

Mustafa Tosur, Laura Gandolfo, Ashok Balasubramanyam, Rochelle N Naylor, Toni I Pollin, Neda Rasouli, Sara J Cromer, John B Buse, Maria J Redondo, RADIANT Study Group

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

10 authors at 7 institutions in 1 country.

Mustafa TosurDepartment of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA.ORCID https://orcid.org/0000-0002-2111-271X
Laura GandolfoHealth Informatics Institute, University of South Florida, Tampa, FL, USA.
Ashok BalasubramanyamDivision of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA.
Rochelle N NaylorDivision of Adult and Pediatric Endocrinology Diabetes, and Metabolism, Departments of Pediatrics and Medicine, University of Chicago, Chicago, IL, USA.
Toni I PollinDepartments of Medicine and Epidemiology & Public Health, University of Maryland, Baltimore, MD, USA.
Neda RasouliDivision of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado, Aurora, CO, USA.
Sara J CromerDivision of Endocrinology, Diabetes and Metabolism, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
John B BuseDivision of Endocrinology, Department of Medicine, University of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0002-9723-3876
Maria J RedondoDepartment of Pediatrics, The Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA.
RADIANT Study Group
Baylor College of Medicine · USMassachusetts General Hospital · USUniversity of Chicago · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Maryland, Baltimore · USUniversity of North Carolina at Chapel Hill · USUniversity of South Florida · US

Funding

RARE and Atypical Diabetes Network(RADIANT)U54DK118638 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI ASHOK BALASUBRAMANYAM · 2018 to 2026
$22.7M
RADIANT Clinic and Data Coordinating CenterU54DK118612 · NIDDK · UNIVERSITY OF CHICAGO · PI Louis H. Philipson, Miriam Sargon Udler · 2018 to 2026
$21.9M
Pilot and Feasibility ProgramP30DK020595 · NIDDK · UNIVERSITY OF CHICAGO · PI Matthew J Brady · 2013 to 2026
$20.9M
Pilot & Feasibility ProgramP30DK124723 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI P Darrell Neufer · 2020 to 2026
$11.0M
Investigation of Arginine Metabolism and Its Effects on Beta Cell Function in Children with Type 2 DiabetesK23DK129821 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Mustafa Tosur · 2022 to 2026
$932k
NIDDK NIH HHS K23 DK129821NIDDK NIH HHS P30 DK020595NIDDK NIH HHS P30 DK124723NIDDK NIH HHS U54 DK118612NIDDK NIH HHS U54 DK118638
6 · The paper itself

Abstract

Introduction: Diabetes mellitus in underrepresented racial and ethnic groups (URG) is rapidly increasing in incidence and has worse outcomes than diabetes in non-Hispanic White individuals. Rare and Atypical Diabetes Network (RADIANT) established recruitment targets based on the racial and ethnic distribution of the USA to enroll a diverse study population. We examined participation of URG across RADIANT study stages and described strategies to enhance recruitment and retention of URG. Materials and Methods: RADIANT is a multicenter NIH-funded study of people with uncharacterized forms of atypical diabetes. RADIANT participants consent online and progress through three sequential study stages, as eligible. Results: We enrolled 601 participants with mean age 44 ± 16.8 years, 64.4% female. At Stage 1, 80.6% were White, 7.2% African American (AA), 12.2% other/more than one race, and 8.4% Hispanic. Enrollment of URG was significantly below preset targets across most stages. Referral sources differed by race ( Conclusions: There is low participation of URG in RADIANT, potentially limiting the generalizability of its discoveries. Investigations into barriers and facilitators for recruitment and retention of URG in RADIANT, with implications for other studies, are ongoing.

Indexed as

African American raceclinical researchethnicityhispanic ethnicityRace

Identifiers

PMID36845305
PMCPMC9947614
OpenAlexW4317811219

What OpenQuestion holds

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LicenceCC BY
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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.