Evidence map›Paper›PMID 33264502›Full record

ArticleCancer medicine2021

Impact of insurance and neighborhood socioeconomic status on clinical outcomes in therapeutic clinical trials for breast cancer.

Samilia Obeng-Gyasi, Anne O'Neill, Fengmin Zhao, Sheetal M Kircher, Timisina R Lava, Lynne I Wagner, Kathy D Miller, Joseph DA Sparano, George W Sledge, Ruth C Carlos

Abstract readComparative Study
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. The Impact of Social Factors on the Benefits of Breastfeeding.Journal of racial and ethnic health disparities · 2026
    Article
  2. Article
  3. Observational
  4. Independent Associations of Neighborhood Deprivation and Patient-level Social Determinants of Health with Textbook Outcomes after Inpatient Surgery.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2023
    Article
  5. Article
  6. Article
  7. 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

10 authors.

Samilia Obeng-GyasiDivision of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0002-5330-7247
Anne O'NeillDana Farber Cancer Institute-ECOG-ACRIN Biostatistics Center, Boston, MA, USA.
Fengmin ZhaoDana Farber Cancer Institute-ECOG-ACRIN Biostatistics Center, Boston, MA, USA.ORCID 0000-0001-9826-3703
Sheetal M KircherNorthwestern University, Robert H. Lurie Comprehensive Cancer Center, Chicago, IL, USA.
Timisina R LavaDepartment of Surgery, Indiana University School of Medicine, Indianapolis, IN, USA.
Lynne I WagnerDepartment of Social Sciences & Health Policy, Wake Forest School of Medicine; Wake Forest Baptist Comprehensive Cancer Center, Winston-Salem, NC, USA.ORCID 0000-0001-9685-4796
Kathy D MillerIndiana University School of Medicine|Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA.
Joseph DA SparanoMontefiore Medical Center, Albert Einstein College of Medicine, Albert Einstein Cancer Center, Bronx, NY, USA.
George W SledgeStanford University, Palo Alto, CA, USA.
Ruth C CarlosComprehensive Cancer Center, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0001-7055-7662

Funding

ECOG-ACRIN NCORP Research Base - TMISTUG1CA189828 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$199.7M
Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$167.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2M
Montefiore Academic Community NCORP ProgramUG1CA189859 · NCI · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI Balazs Halmos, Della Makower · 2014 to 2026
$10.8M
Northwestern University Lead Academic Participating Site Supplement Year 2UG1CA233320 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BENSON, AL B, MATEI, DANIELA E · 2019 to 2025
$5.5M
UM LAPs -UG1 GrantUG1CA233160 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ANNE F SCHOTT · 2019 to 2026
$5.4M
National Cancer Institute of the National Institutes of Health U10CA180794National Cancer Institute of the National Institutes of Health U10CA180820National Cancer Institute of the National Institutes of Health UG1CA189828National Cancer Institute of the National Institutes of Health UG1CA189859National Cancer Institute of the National Institutes of Health UG1CA233160National Cancer Institute of the National Institutes of Health UG1CA233320NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS UG1 CA189828NCI NIH HHS UG1 CA189859NCI NIH HHS UG1 CA233160NCI NIH HHS UG1 CA233320
6 · The paper itself

Abstract

The objective of this study was to evaluate the impact of insurance and neighborhood SES (nSES) on chemotherapy completion and overall mortality among participants in breast cancer clinical trials. The data sources for this study were two adjuvant breast cancer trials (ECOG E1199 and E5103) collectively including 9790 women. Insurance status at trial registration was categorized into private, government (Medicaid, Medicare, and other government type insurance), and self-pay. An Agency for Healthcare Research Quality (AHRQ) nSES index was calculated using residential zip codes linked to county level data on occupation, income, poverty, wealth, education, and crowding. Logistic regression and Cox Proportional Hazard models estimated odds ratios (OR) for chemotherapy treatment completion and hazard ratios (HR) for mortality, respectively, for insurance status and nSES. The models adjusted for: race, age, tumor size, nodal status, hormone receptor status, and primary surgery. The majority of patients had private insurance at trial registration: E1199: 85.6% (4154/4854) and E5103: 82.4% (3987/4836); median SES index was 53.8 (range: 41.8-66.8) and 54.1 (range: 44.5-66.1), respectively. Patients with government insurance were less likely to complete chemotherapy treatment (E1199 OR (95%CI): 0.73 (0.57-0.94); E5103 0.76 (0.64-0.91)) and had an increased risk of death (E1199 HR (95%CI): 1.44 (1.22-1.70); E5103 1.29 (1.06-1.58)) compared to the privately insured patients. There was no association between nSES and chemotherapy completion or overall mortality. Patients with government insurance at trial registration appeared to face barriers in chemotherapy completion and had a higher overall mortality compared to their privately insured counterparts.

Indexed as

Insurance, HealthResidence CharacteristicsSocial Determinants of HealthSocioeconomic FactorsAdultAgedAged, 80 and overBreast NeoplasmsFemaleHumansMiddle AgedRandomized Controlled Trials as TopicRetrospective StudiesRisk AssessmentRisk FactorsTreatment Outcomebreast cancerclinical trialsinsurance

Identifiers

PMID33264502
PMCPMC7826479

What OpenQuestion holds

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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.