Evidence map›Paper›PMID 40110065›Full record

ArticleNeuro-oncology practice2025

Associations between central nervous system tumor diagnosis stage and survival and Medicaid enrollment among children, adolescents, and young adults.

Kimberly J Johnson, Derek S Brown, Tess Thompson, Justin M Barnes, Allison A King

Abstract read
In one paragraph

Article in Neuro-oncology practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kimberly J JohnsonSiteman Cancer Center, Washington University in St Louis, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-8152-7319
Derek S BrownBrown School, Washington University in St. Louis, St. Louis, Missouri, USA.
Tess ThompsonSchool of Social Work, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.
Justin M BarnesDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, USA.
Allison A KingProgram in Occupational Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medicaid enrollment has been associated with disparities in younger cancer patient survival. To further understand this association for central nervous system (CNS) tumor patients, we used Surveillance, Epidemiology, and End Results (SEER)-Medicaid-linked data to examine associations between Medicaid enrollment and enrollment timing and (1) diagnosis stage, and (2) CNS tumor death. Methods: Individuals diagnosed with a first malignant primary CNS tumor between 0 and 39 years from 2006 to 2013 were included. Medicaid enrollment was first classified as enrolled versus not enrolled with those enrolled further classified as having continuous, discontinuous (at diagnosis or other discontinuous), or other enrollment. We used logistic and Cox Proportional Hazards regression stratified by age to calculate adjusted odds ratios (ORs) and hazard ratios (HRs) for those 0-14 and 15-39 years. Results: Among 10 107 CNS tumor patients, we found significantly higher odds of regional/distant versus in situ/localized stage diagnoses for those with other discontinuous (OR Conclusions: Medicaid enrollment is associated with a higher risk of CNS tumor death with an almost 2-fold higher risk for young CNS tumor patients enrolled at diagnosis. These results support the critical need for consistent health insurance coverage for young CNS tumor patients.

Indexed as

CNS tumorsinsurancesocial determinants of healthsurvival

Identifiers

PMID40110065
PMCPMC11913644

What OpenQuestion holds

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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.