Evidence map›Paper›PMID 32670350›Full record

ArticleFrontiers in genetics2020

Enrollment of Diverse Populations in the INGENIOUS Pharmacogenetics Clinical Trial.

Ebony Shah-Williams, Kenneth D Levy, Yong Zang, Ann M Holmes, Christa Stoughton, Paul Dexter, Todd C Skaar

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Advances in integrative African genomics.Trends in genetics : TIG · 2022
    Review
  5. Health equality, race and pharmacogenomics.British journal of clinical pharmacology · 2022
    Review
  6. Review
  7. 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

7 authors at 2 institutions in 1 country.

Ebony Shah-WilliamsDepartment of Medical and Molecular Genetics, Indiana University, Indianapolis, IN, United States.
Kenneth D LevyDepartment of Medicine, Indiana University, Indianapolis, IN, United States.
Yong ZangDepartment of Biostatistics, Indiana University, Indianapolis, IN, United States.
Ann M HolmesDepartment of Health Policy and Management, Fairbanks School of Public Health, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States.
Christa StoughtonDepartment of Urology, Indiana University Hospital, Indianapolis, IN, United States.
Paul DexterDepartment of Medicine, Indiana University, Indianapolis, IN, United States.
Todd C SkaarDepartment of Medicine, Indiana University, Indianapolis, IN, United States.
Indiana University – Purdue University Indianapolis · USIndiana University Hospital · US

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Embedding Pharmacogenotyping in an Integrated Health System for the UnderservedU01HG007762 · NHGRI · INDIANA UNIVERSITY INDIANAPOLIS · PI DEXTER, PAUL, SKAAR, TODD C. · 2014 to 2018
$4.4M
NCATS NIH HHS UL1 TR002529NHGRI NIH HHS U01 HG007762
6 · The paper itself

Abstract

Recruitment of diverse populations and subjects living in Medically Underserved Areas and Populations (MUA/P's) into clinical trials is a considerable challenge. Likewise, representation of African-Americans in pharmacogenetic trials is often inadequate, but critical for identifying genetic variation within and between populations. To identify enrollment patterns and variables that predict enrollment in a diverse underserved population, we analyzed data from the INGENIOUS (Indiana GENomics Implementation and Opportunity for the UnderServed), pharmacogenomics implementation clinical trial conducted at a community hospital for underserved subjects (Safety net hospital), and a statewide healthcare system (Academic hospital). We used a logistic regression model to identify patient variables that predicted successful enrollment after subjects were contacted and evaluated the reasons that clinical trial eligible subjects refused enrollment. In both healthcare systems, African-Americans were less likely to refuse the study than non-Hispanic Whites (Safety net, OR = 0.68, and

Indexed as

African-Americanclinical trialdiverseenrollmentINGENIOUSMUA/Ppharmacogenomics

Identifiers

PMID32670350
PMCPMC7330082
OpenAlexW3038106360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.