Evidence map›Paper›PMID 37439033›Full record

ArticleCancer medicine2023

Associations between health insurance status, neighborhood deprivation, and treatment delays in women with breast cancer living in Georgia.

Sofia Awan, Geetanjali Saini, Keerthi Gogineni, Justin M Luningham, Lindsay J Collin, Shristi Bhattarai, Ritu Aneja, Courtney P Williams

Abstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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.

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3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Observational
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  9. A Comparison of Neighborhood Socioeconomic Deprivation Measures and the Association with Survival among Black and White Women with Endometrial Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

8 authors.

Sofia AwanSchool of Public Health, Georgia State University, Atlanta, Georgia, USA.ORCID 0000-0003-0328-7214
Geetanjali SainiDepartment of Clinical and Diagnostic Sciences, School of Health Professions, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Keerthi GogineniDepartment of Hematology-Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia, USA.
Justin M LuninghamDepartment of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, Texas, USA.
Lindsay J CollinDepartment of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-0170-2592
Shristi BhattaraiDepartment of Clinical and Diagnostic Sciences, School of Health Professions, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Ritu AnejaDepartment of Clinical and Diagnostic Sciences, School of Health Professions, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Courtney P WilliamsDepartment of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0001-5328-7517

Funding

HSET as a racial disparity biomarker for TNBC patientsR01CA239120 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ANEJA, RITU · 2019 to 2024
$3.0M
NRSA Training CoreTL1TR002540 · NCATS · UNIVERSITY OF UTAH · PI FAGERLIN, ANGELA, FAIRFAX, KEKE CELESTE · 2018 to 2022
$1.6M
Identifying factors associated with ovarian cancer recurrence using a population-based approachK99CA277580 · NCI · UNIVERSITY OF UTAH · PI COLLIN, LINDSAY JANE · 2023 to 2024
$279k
NCATS NIH HHS TL1 TR002540NCI NIH HHS K99 CA277580NCI NIH HHS R01 CA239120
6 · The paper itself

Abstract

backgroundLittle is known regarding the association between insurance status and treatment delays in women with breast cancer and whether this association varies by neighborhood socioeconomic deprivation status.

methodsIn this cohort study, we used medical record data of women diagnosed with breast cancer between 2004 and 2022 at two Georgia-based healthcare systems. Treatment delay was defined as >90 days to surgery or >120 days to systemic treatment. Insurance coverage was categorized as private, Medicaid, Medicare, other public, or uninsured. Area deprivation index (ADI) was used as a proxy for neighborhood-level socioeconomic status. Associations between delayed treatment and insurance status were analyzed using logistic regression, with an interaction term assessing effect modification by ADI.

resultsOf the 14,195 women with breast cancer, 54% were non-Hispanic Black and 52% were privately insured. Compared with privately insured patients, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 79%, 75%, and 27% higher odds of delayed treatment, respectively (odds ratio [OR]: 1.79, 95% confidence interval [CI]: 1.32-2.43; OR: 1.75, 95% CI: 1.43-2.13; OR: 1.27, 95% CI: 1.06-1.51). Among patients living in low-deprivation areas, those who were uninsured, Medicaid enrollees, and Medicare enrollees had 100%, 84%, and 26% higher odds of delayed treatment than privately insured patients (OR: 2.00, 95% CI: 1.44-2.78; OR: 1.84, 95% CI: 1.48-2.30; OR: 1.26, 95% CI: 1.05-1.53). No differences in the odds of delayed treatment by insurance status were observed in patients living in high-deprivation areas. DISCUSSION/

conclusionInsurance status was associated with treatment delays for women living in low-deprivation neighborhoods. However, for women living in neighborhoods with high deprivation, treatment delays were observed regardless of insurance status.

Indexed as

Breast NeoplasmsInsurance, HealthAgedCohort StudiesFemaleGeorgiaHumansInsurance CoverageMedicaidMedicareTime-to-TreatmentUnited Statesbreast cancerdisparitiesinsurance coveragesocioeconomictreatment initiation

Identifiers

PMID37439033
PMCPMC10501236

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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.