Evidence map›Paper›PMID 39525382›Full record

ReviewMethodist DeBakey cardiovascular journal2024

Leveraging Social Determinants of Health to Enhance Recruitment of Underrepresented Populations in Clinical Trials.

Sara King, Sophia Trabanino, Zahra Azizi, Fatima Rodriguez

Abstract readReview
In one paragraph

Review in Methodist DeBakey cardiovascular journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Educators, Not Influencers: Health Content Creator Perspectives on Research Recruitment Collaboration.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  2. Article
  3. 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

4 authors.

Sara KingStanford University School of Medicine, Stanford, California, US.ORCID https://orcid.org/0000-0002-8971-1655
Sophia TrabaninoStanford University School of Medicine, Stanford, California, US.
Zahra AziziStanford University School of Medicine, Stanford, California, US.ORCID https://orcid.org/0000-0002-7897-0934
Fatima RodriguezStanford University School of Medicine, Stanford, California, US.ORCID https://orcid.org/0000-0002-5226-0723

Funding

Adherence Determinants in the Health Electronic Record Evaluation of Statins (ADHERES)R01HL168188 · NHLBI · STANFORD UNIVERSITY · PI Fatima Rodriguez · 2024 to 2026
$2.1M
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
NHLBI NIH HHS K01 HL144607NHLBI NIH HHS R01 HL168188
6 · The paper itself

Abstract

Historically marginalized communities are disproportionately affected by cardiometabolic diseases yet are underrepresented in clinical trials that investigate needed interventions. This review investigates the barriers to equitable inclusion in clinical trials, identifying opportunities for improvement at the institutional, trial, community, and individual level. It proposes a social determinants-based approach that serves as a toolkit to target these barriers using structural, economic, community, healthcare access, and technology solutions, supporting constructive improvement in the clinical trial recruitment process.

Indexed as

Clinical Trials as TopicPatient SelectionSocial Determinants of HealthHealthcare DisparitiesHealth Services AccessibilityHealth Status DisparitiesHumansMinority GroupsResearch SubjectsVulnerable Populationsclinical trialsrecruitmentsocial determinantsunderrepresentation

Identifiers

PMID39525382
PMCPMC11546174

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.