Evidence map›Paper›PMID 39653947›Full record

ArticleAnnals of surgical oncology2025

Therapeutic Clinical Trial Eligibility and Enrollment among Women with Breast Cancer: Implications for Understanding Trial Disparities.

Nicole Reh, Nicole E Caston, Courtney P Williams, Sindhu R Dwarampudi, Ahmed Elkhanany, Katia Khoury, Erica Stringer-Reasor, Nusrat Jahan, Gabrielle B Rocque, Lily A Gutnik

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2025. 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. Article
  2. Article
  3. Clinical trial-related financial considerations from Deep South-patients with breast cancer who previously declined trial participation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    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.

Nicole RehThe University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA.
Nicole E CastonCancer Care Quality Training Program, UNC Lineberger, Chapel Hill, NC, USA.
Courtney P WilliamsGeneral Internal Med and Population Science, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, AL, USA.
Sindhu R DwarampudiMedical College of Georgia, Augusta, GA, USA.
Ahmed ElkhananyMedicine- Hematology and Oncology, Baylor College of Medicine, Houston, TX, USA.
Katia KhouryThe University of Alabama at Birmingham Heersink School of Medicine, Medicine-Hematology and Oncology, Birmingham, AL, USA.
Erica Stringer-ReasorThe University of Alabama at Birmingham Heersink School of Medicine, Medicine-Hematology and Oncology, Birmingham, AL, USA.
Nusrat JahanThe University of Alabama at Birmingham Heersink School of Medicine, Medicine-Hematology and Oncology, Birmingham, AL, USA.
Gabrielle B RocqueThe University of Alabama at Birmingham Heersink School of Medicine, Medicine-Hematology and Oncology, Birmingham, AL, USA.
Lily A GutnikThe University of Alabama at Birmingham Heersink School of Medicine, Surgery, Birmingham, AL, USA. lgutnik@uabmc.edu.ORCID http://orcid.org/0000-0001-8674-7655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTherapeutic clinical trials frequently lack diverse representation, hindering generalizability and exacerbating preexisting disparities in clinical outcomes. This study explored associations between breast cancer patient demographics, clinical trial eligibility, and enrollment in a National Cancer Institute (NCI)-designated cancer center. PATIENTS AND

methodsThis prospective cohort study included patients with breast cancer screened for therapeutic clinical trials from July 2020 to January 2024. Eligibility was determined by the provider and study coordinator. Patient characteristics were abstracted from the electronic medical record. Rurality and neighborhood disadvantage were mapped by address using rural-urban commuting area codes and area deprivation index (ADI), respectively. Likelihood of eligibility and enrollment by race, rurality, and neighborhood disadvantage were evaluated using risk ratios (RR) and 95% confidence intervals (CIs) from modified Poisson regression models.

resultsOf 343 patients screened for therapeutic trials, the mean age was 56 years (SD 13), 33% were Black/other race, 22% lived in highly disadvantaged areas, and 16% in rural areas. Most patients were screened for one trial (87%). Overall, 54% of patients were eligible for trials, and of those, 58% enrolled. Similar likelihoods of eligibility and enrollment were seen by race and rurality. Though not significant, patients living in highly disadvantaged areas trended toward higher likelihood of enrollment (RR 1.24, 95% CI 0.99-1.55).

conclusionsOver half of trial-eligible patients, even across race, rurality, or neighborhood disadvantage, enrolled, surpassing the national average. In contrast to national trends, there was higher enrollment among patients of higher ADI.

Indexed as

Breast NeoplasmsClinical Trials as TopicEligibility DeterminationHealthcare DisparitiesPatient SelectionAdultAgedFemaleFollow-Up StudiesHumansMiddle AgedPrognosisProspective StudiesRural PopulationUnited States

Identifiers

PMID39653947
PMCPMC11811461

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.