Evidence map›Paper›PMID 25876991›Full record

ArticleThe oncologist2015

Survival disparities by insurance type for patients aged 15-64 years with non-Hodgkin lymphoma.

Dianne Pulte, Lina Jansen, Hermann Brenner

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2015. 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
3.3field-weighted citation impact, top 8% of its field
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, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Short Diagnosis-to-Treatment Interval Is Associated With Higher Circulating Tumor DNA Levels in Diffuse Large B-Cell Lymphoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. In Reply.The oncologist · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Dianne PulteDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Cardeza Foundation and Division of Hematology, Department of Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; German Cancer Consortium, Heidelberg, Germany pultedi@gmail.com.
Lina JansenDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Cardeza Foundation and Division of Hematology, Department of Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; German Cancer Consortium, Heidelberg, Germany.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Cardeza Foundation and Division of Hematology, Department of Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA; German Cancer Consortium, Heidelberg, Germany.
Heidelberg University · DEGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNew treatment options and supportive care measures have greatly improved survival of patients with non-Hodgkin lymphoma (NHL) but may not be affordable for those with no insurance or inadequate insurance.

methodsUsing data from the Surveillance, Epidemiology, and End Results database, we estimated overall and cause-specific survival according to insurance status within 3 years after diagnosis of patients diagnosed with NHL in the U.S. in the period 2007-2011. Because NHL is a heterogeneous condition, we also examined survival in diffuse large B-cell lymphoma (DLBCL).

resultsSurvival was higher for patients with non-Medicaid insurance compared with either uninsured patients or patients with Medicaid. For patients with any NHL, the 3-year survival estimates were 68.0% for uninsured patients, 60.7% for patients with Medicaid, and 84.9% for patients with non-Medicaid insurance. Hazard ratios (HRs) for uninsured and Medicaid-only patients compared with insured patients were 1.92 (95% confidence interval [CI]: 1.76-2.10) and 2.51 (95% CI: 2.36-2.68), respectively. Results were similar for patients with DLBCL, with survival estimates of 68.5% for uninsured patients (HR: 1.78; 95% CI: 1.57-2.02), 58%, for patients with Medicaid (HR: 2.42; 95% CI: 2.22-2.64), and 83.3% for patients with non-Medicaid insurance. Cause-specific analysis showed survival estimates of 80.3% for uninsured patients (HR: 1.83; 95% CI: 1.62-2.05), 77.7% for patients with Medicaid (HR: 2.23; 95% CI: 2.05-2.42), and 90.5% for patients with non-Medicaid insurance.

conclusionLack of insurance and Medicaid only were associated with significantly lower survival for patients with NHL. Further evaluation of the reasons for this disparity and implementation of comprehensive coverage for medical care are urgently needed.

Indexed as

Healthcare DisparitiesMedically UninsuredAdolescentAdultFemaleHumansInsurance CoverageLymphoma, Non-HodgkinMaleMedicaidMiddle AgedSurvival RateUnited StatesDiffuse large B-cell lymphomaHealth care disparitiesNon-Hodgkin lymphomaSurvival analysis

Identifiers

PMID25876991
PMCPMC4425386
OpenAlexW2157438105

What OpenQuestion holds

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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.