Evidence map›Paper›PMID 39325856›Full record

ArticleJournal of the National Cancer Institute2025

Disparities in the availability of and access to neuro-oncology trial-supporting infrastructure in the United States.

Yeonju Kim, Terri S Armstrong, Mark R Gilbert, Orieta Celiku

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Imaging in Neuro-oncology.Seminars in neurology · 2025
    Review
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.

Yeonju KimNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0001-9220-4315
Terri S ArmstrongNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Mark R GilbertNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Orieta CelikuNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-0500-1032

Funding

NCI NIH HHSNIH HHS
6 · The paper itself

Abstract

We conducted an extensive assessment and quantification of the reach of the oncology clinical trial-supporting infrastructure in the United States. Although our primary focus was on identifying avenues to expand the reach of neuro-oncology clinical trials, we considered infrastructure layers with important implications for broader cancer research and care. Specifically, we examined the geographic, population, and socioeconomic reach of national collaboratives (including more than 1500 institutions); more than 600 academic oncology and neurosurgery training programs; and networks of more than 25 000 individual neuro-oncology, neurosurgery, and general oncology (including hematology, medical, and gynecological oncology; surgical oncology; and radiation oncology) clinicians. Our study found that more than 57% of the US population lacks direct access to trial-supporting infrastructure. More than 71% of the locations with infrastructure are urban, and more than 72% are in socioeconomically advantaged areas. Our findings reveal critical disparities in oncology care access, and we suggest actionable strategies to optimize and expand the existing infrastructure's reach.

Indexed as

Clinical Trials as TopicHealthcare DisparitiesHealth Services AccessibilityMedical OncologyHumansSocioeconomic FactorsUnited States

Identifiers

PMID39325856
PMCPMC11884859

What OpenQuestion holds

Textmetadata
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.