Evidence map›Paper›PMID 31240865›Full record

ArticleCancer medicine2019

A U.S. population-based study of insurance disparities in cancer survival among adolescents and young adults.

Meryl D Colton, DeLayna Goulding, Alina Beltrami, Carrye Cost, Anna Franklin, Myles G Cockburn, Adam L Green

Abstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Identifying caregiver-reported modifiable barriers to pediatric oncology clinical trial enrollment and participation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Access to Care for Adolescents and Young Adults With Cancer in the United States: State of the Literature.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Review
  10. Article
  11. Review
  12. Population-Based Impact of Rurality and Neighborhood-Level Socioeconomic Disadvantage on Pediatric Cancer Mortality in Washington State.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Disparities in Pediatric Oncology: The 21st Century Opportunity to Improve Outcomes for Children and Adolescents With Cancer.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2021
    Article
  17. 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.

Meryl D ColtonUniversity of Colorado School of Medicine, Aurora, Colorado.ORCID 0000-0001-7380-1341
DeLayna GouldingColorado School of Public Health, Aurora, Colorado.
Alina BeltramiUniversity of Denver, Denver, Colorado.
Carrye CostUniversity of Colorado School of Medicine, Aurora, Colorado.
Anna FranklinUniversity of Colorado School of Medicine, Aurora, Colorado.
Myles G CockburnUniversity of Colorado School of Medicine, Aurora, Colorado.
Adam L GreenUniversity of Colorado School of Medicine, Aurora, Colorado.ORCID 0000-0002-4469-2358

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

backgroundAdolescents and young adults (AYA), patients age 15-39, may experience worse outcomes than pediatric and adult patients. The aim of this paper was to document survival disparities associated with insurance status across the AYA age continuum in the United States.

methodsWe utilized the Surveillance, Epidemiologic, and End Results database to identify 66 556 AYA patients between 2007 and 2014 with 10 International Classification of Childhood Cancer diagnoses and calculated the Cox proportional hazard ratios of death for those with public or no insurance status compared to private insurance. The odds ratios of having a late stage of diagnosis by insurance status were also calculated.

resultsInsurance status was a statistically significant predictor of death for lymphoid leukemia (age 15-19, 30-34, and 35-39), acute myeloid leukemia (age 15-19 and 25-29), Hodgkin lymphoma (all ages), non-Hodgkin lymphoma (age 20-24, 25-29, 30-34, and 35-39), astrocytomas (age 30-34), other gliomas (age 25-29, 30-34, and 35-39), hepatic carcinomas (age 25-29), fibrosarcomas, peripheral nerve and other fibrous tumors (age 30-34), malignant gonadal germ cell tumors (age 20-24, 25-29, 30-34, and 35-39), and other and unspecified carcinomas (age 20-24, 25-29, 30-34, and 35-39), independent of stage at diagnosis. This hazard increased with age for most cancer types. Insurance status strongly predicted the odds of a metastatic cancer diagnosis for lymphoma, fibrosarcomas (age 15-19), germ cell tumors, and other carcinomas.

conclusionsAYA in the US experience disparities in cancer survival based on insurance status, independent of late stage of presentation. Patients age 26-39 may be especially vulnerable to health outcomes associated with poor socioeconomic status, treatment disparities, and poor access to care.

Indexed as

AdolescentAdultFemaleHealthcare DisparitiesHumansInsurance CoverageMaleMortalityNeoplasmsSEER ProgramSocial ClassSurvival AnalysisUnited StatesYoung AdultAYAhealth disparitiesinsuranceSEERstage

Identifiers

PMID31240865
PMCPMC6712520

What OpenQuestion holds

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LicenceCC BY
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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.