Evidence map›Paper›PMID 21873583›Full record

ArticleThe oncologist2011

Cancer disparities in the context of Medicaid insurance: a comparison of survival for acute myeloid leukemia and Hodgkin's lymphoma by Medicaid enrollment.

Rachel L Yung, Kun Chen, Gregory A Abel, Foster C Gesten, Patrick J Roohan, Francis P Boscoe, Amber H Sinclair, Maria J Schymura, Deborah Schrag

Abstract readComparative Study
In one paragraph

Article in The oncologist, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Article
  7. Review
  8. Article
  9. Association of social network and social support with health-related quality of life and fatigue in long-term survivors of Hodgkin lymphoma.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2013
    Article
  10. Privacy-by-Design: Understanding Data Access Models for Secondary Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2013
    Article
  11. 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

9 authors.

Rachel L YungDepartment of Medical Oncology, Center for Outcomes and Policy Research, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Kun Chen
Gregory A Abel
Foster C Gesten
Patrick J Roohan
Francis P Boscoe
Amber H Sinclair
Maria J Schymura
Deborah Schrag

Funding

Cancer Care Delivery in MedicaidR01CA131847 · NCI · DANA-FARBER CANCER INST · PI SCHRAG, DEBORAH · 2008 to 2012
$1.8M
NCI NIH HHS R01 CA131847NCI NIH HHS R01-CA131847-01A1
6 · The paper itself

Abstract

backgroundBecause poverty is difficult to measure, its association with outcomes for serious illnesses such as hematologic cancers remains largely uncharacterized. Using Medicaid enrollment as a proxy for poverty, we aimed to assess potential disparities in survival after a diagnosis of acute myeloid leukemia (AML) or Hodgkin's lymphoma (HL) in a nonelderly population.

methodsWe used records from the New York (NY) and California (CA) state cancer registries linked to Medicaid enrollment records for these states to identify Medicaid enrolled and nonenrolled patients aged 21-64 years with incident diagnoses of AML or HL in 2002-2006. We compared overall survival for the two groups using Kaplan-Meier curves and Cox proportional hazards analyses adjusted for sociodemographic and clinical factors.

resultsFor HL, the adjusted risk for death for Medicaid enrolled compared with nonenrolled patients was 1.98 (95% confidence interval [CI], 1.47-2.68) in NY and 1.89 (95% CI, 1.43-2.49) in CA. In contrast, for AML, Medicaid enrollment had no effect on survival (adjusted hazard ratio, 1.00; 95% CI, 0.84-1.19 in NY and hazard ratio, 1.02; 95% CI, 0.89-1.16 in CA). These results persisted despite adjusting for race/ethnicity and other factors.

conclusionsPoverty does not affect survival for AML patients but does appear to be associated with survival for HL patients, who, in contrast to AML patients, require complex outpatient treatment. Challenges for the poor in adhering to treatment regimens for HL could explain this disparity and merit further study.

Indexed as

Healthcare DisparitiesHodgkin DiseaseLeukemia, Myeloid, AcuteMedicaidAdultCaliforniaFemaleHealth Status DisparitiesHumansInsuranceMaleMiddle AgedNew YorkPovertyRegistriesUnited States

Identifiers

PMID21873583
PMCPMC3228153

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Registered trials

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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.