Evidence map›Paper›PMID 31796525›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Relationship between Insurance Type at Diagnosis and Hepatocellular Carcinoma Survival.

Shoshana Adler Jaffe, Orrin Myers, Angela L W Meisner, Charles L Wiggins, Deirdre A Hill, Jean A McDougall

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  10. Survival inequity in vulnerable populations with early-stage hepatocellular carcinoma: a United States safety-net collaborative analysis.HPB : the official journal of the International Hepato Pancreato Biliary Association · 2021
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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

6 authors at 2 institutions in 1 country.

Shoshana Adler JaffeUniversity of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico. sadlerjaffe@salud.unm.edu.
Orrin MyersDepartment of Family and Community Medicine, University of New Mexico, Albuquerque, New Mexico.ORCID 0000-0002-6291-2027
Angela L W MeisnerUniversity of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.
Charles L WigginsUniversity of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.ORCID 0000-0002-0661-8261
Deirdre A HillDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico.
Jean A McDougallUniversity of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.
University of New Mexico · USNew Mexico Cancer Center · US

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
NCI NIH HHS HHSN261200800014INCI NIH HHS HHSN261201800014CNCI NIH HHS HHSN261201800014INCI NIH HHS P30 CA118100
6 · The paper itself

Abstract

backgroundFor individuals with hepatocellular carcinoma (HCC), type of insurance may be an important prognostic factor because of its impact on access to care. This study investigates the relationship between insurance type at diagnosis and stage-specific survival.

methodsThis retrospective cohort analysis used data from 18 Surveillance, Epidemiology, and End Results Program cancer registries. Individuals ages 20 to 64 years, diagnosed with primary HCC between 2010 and 2015, with either private, Medicaid, or no insurance were eligible for cohort inclusion. Adjusted Cox proportional-hazards regression models were used to generate HRs and 95% confidence intervals (CI) for associations between insurance type at diagnosis and overall survival. All models were stratified by stage at diagnosis.

resultsThis analysis included 14,655 cases. Compared with privately insured individuals with the same stage of disease, those with Medicaid had a 43% (HR = 1.43; 95% CI, 1.13-1.32), 22% (HR = 1.22; 95% CI, 1.13-1.32), and 7% higher risk of death for localized, regional, and distant stage, respectively. Uninsured individuals had an 88% (HR = 1.88; 95% CI, 1.65-2.14), 59% (HR = 1.59; 95% CI, 1.41-1.80), and 35% (HR = 1.35; 95% CI, 1.18-1.55) higher risk of death for localized, regional, and distant stage, respectively, compared with privately insured individuals.

conclusionsDisparities in survival exist by the type of insurance that individuals with HCC have at the time of diagnosis. IMPACT: These findings support the need for additional research on access to and quality of cancer care for Medicaid and uninsured patients.

Indexed as

AdultCarcinoma, HepatocellularFemaleFollow-Up StudiesHealthcare DisparitiesHealth Services AccessibilityHealth Status DisparitiesHumansInsurance CoverageInsurance, HealthKaplan-Meier EstimateLiver NeoplasmsMaleMedicaidMedically UninsuredMiddle Aged

Identifiers

PMID31796525
PMCPMC7992905
OpenAlexW2992017525

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.