Evidence map›Paper›PMID 33201532›Full record

ArticleCancer2021

Relationship between insurance status and outcomes for patients with breast cancer in Missouri.

Jennifer L Berrian, Ying Liu, Min Lian, Chester L Schmaltz, Graham A Colditz

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 14% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Jennifer L BerrianDepartment of Surgery, Washington University School of Medicine, St. Louis, Missouri.ORCID 0000-0001-6436-8005
Ying LiuDepartment of Surgery, Washington University School of Medicine, St. Louis, Missouri.
Min LianAlvin J. Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri.
Chester L SchmaltzDepartment of Health Management and Informatics, School of Medicine, University of Missouri, Columbia, Missouri.
Graham A ColditzDepartment of Surgery, Washington University School of Medicine, St. Louis, Missouri.
Barnes-Jewish Hospital · USUniversity of Missouri Health System · USWashington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
RESIDENTIAL MOBILITY, TREATMENT QUALITY AND SURVIVAL IN LOW-INCOME WOMEN WITH BREAST CANCERR01CA215418 · NCI · WASHINGTON UNIVERSITY · PI LIAN, MIN, LIU, YING · 2018 to 2020
$1.1M
American Cancer Society RSG-18-116-01-CPHPSBreast Cancer Research FoundationNCI NIH HHS P30 CA091842NCI NIH HHS R01 CA215418
6 · The paper itself

Abstract

backgroundThe cancer stage at diagnosis, treatment delays, and breast cancer mortality vary with insurance status.

methodsUsing the Missouri Cancer Registry, this analysis included 31,485 women diagnosed with invasive breast cancer from January 1, 2007, to December 31, 2015. Odds ratios (ORs) of a late-stage (stage III or IV) diagnosis and a treatment delay (>60 days after the diagnosis) were calculated with logistic regression. The hazard ratio (HR) of breast cancer mortality was calculated with Cox proportional hazards regression. Mediation analysis was used to quantify the individual contributions of each covariate to mortality.

resultsThe OR of a late-stage diagnosis was higher for patients with Medicaid (OR, 1.72; 95% confidence interval [CI], 1.56-1.91) or no insurance (OR, 2.30; 95% CI, 1.91-2.78) in comparison with privately insured patients. Medicare (OR, 1.21; 95% CI, 1.10-1.37), Medicaid (OR, 1.60; 95% CI, 1.37-1.85), and uninsured patients (OR, 1.58; 95% CI, 1.18-2.12) had higher odds of a treatment delay. The HR of breast cancer-specific mortality was significantly increased in the groups with public insurance or no insurance and decreased after sequential adjustments for sociodemographic factors (HR, 2.39; 95% CI, 1.96-2.91), tumor characteristics (HR, 1.28; 95% CI, 1.05-1.56), and treatment (HR, 1.23; 95% CI, 1.01-1.50). Late-stage diagnoses accounted for 72.5% of breast cancer mortality in the uninsured.

conclusionsCompared with the privately insured, women with public or no insurance had a higher risk for advanced breast cancer, a >60-day treatment delay, and death from breast cancer. Particularly for the uninsured, Medicaid expansion and increased funding for education and screening programs could decrease breast cancer disparities.

Indexed as

Insurance CoverageAdultAgedAged, 80 and overBreast NeoplasmsFemaleHumansMedicaidMiddle AgedNeoplasm StagingProportional Hazards ModelsTime-to-TreatmentUnited Statesbreast neoplasmsinsurance coverageMedicaidmedically uninsuredMissouri

Identifiers

PMID33201532
PMCPMC9386891
OpenAlexW3098907773

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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.