Evidence map›Paper›PMID 36306380›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis.

Tomi Akinyemiju, Quan Chen, Lauren E Wilson, Rebecca A Previs, Ashwini Joshi, Margaret Liang, Maria Pisu, Kevin C Ward, Andrew Berchuck, Maria J Schymura and 1 more

Abstract 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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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.

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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Causal inference in the diagnosis and prognosis of ovarian cancer: current state and future directions.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Pooled it
  2. Neoadjuvant Chemotherapy for Newly Diagnosed, Advanced Ovarian Cancer: ASCO Guideline Update.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Guideline
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  10. Psychosocial Stress Exposures and Advanced Disease at Ovarian Cancer Diagnosis.Cancer control : journal of the Moffitt Cancer Center
    Observational
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

11 authors.

Tomi AkinyemijuDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-1412-3234
Quan ChenDivision of Cancer Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington, Kentucky.ORCID 0000-0003-4436-3471
Lauren E WilsonDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-5953-2293
Rebecca A PrevisDivision of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0001-8087-9120
Ashwini JoshiDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-9287-6370
Margaret LiangDivision of Gynecologic Oncology, Department of Obstetrics & Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0001-9229-5181
Maria PisuDivision of Preventive Medicine and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0001-9329-3268
Kevin C WardGeorgia Cancer Registry, Emory University, Atlanta, Alabama.ORCID 0000-0001-5893-6192
Andrew BerchuckDivision of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0002-1940-1467
Maria J SchymuraNew York State Cancer Registry, New York State Department of Health, Albany, New York.ORCID 0000-0003-0587-8667
Bin HuangDivision of Cancer Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington, Kentucky.ORCID 0000-0002-9075-1531

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
Stress-related inflammation and racial disparities in ovarian cancerR37CA233777 · NCI · DUKE UNIVERSITY · PI AKINYEMIJU, TOMI F · 2019 to 2025
$4.2M
Duke Women's Reproductive Health Research ScholarsK12HD103083 · NICHD · DUKE UNIVERSITY · PI Cindy Amundsen · 2020 to 2026
$2.2M
NCI NIH HHS P30 CA177558NCI NIH HHS R37 CA233777NICHD NIH HHS K12 HD103083
6 · The paper itself

Abstract

backgroundOvarian cancer survival disparities have persisted for decades, driven by lack of access to quality treatment. We conducted structural equation modeling (SEM) to define latent variables representing three healthcare access (HCA) domains: affordability, availability, and accessibility, and evaluated the direct and indirect associations between race and ovarian cancer treatment mediated through the HCA domains.

methodsPatients with ovarian cancer ages 65 years or older diagnosed between 2008 and 2015 were identified from the SEER-Medicare dataset. Generalized SEM was used to estimate latent variables representing HCA domains by race in relation to two measures of ovarian cancer-treatment quality: gynecologic oncology consultation and receipt of any ovarian cancer surgery.

resultsA total of 8,987 patients with ovarian cancer were included in the analysis; 7% were Black. The affordability [Ω: 0.876; average variance extracted (AVE) = 0.689], availability (Ω: 0.848; AVE = 0.636), and accessibility (Ω: 0.798; AVE = 0.634) latent variables showed high composite reliability in SEM analysis. Black patients had lower affordability and availability, but higher accessibility compared with non-Black patients. In fully adjusted models, there was no direct effect observed between Black race to receipt of surgery [β: -0.044; 95% confidence interval (CI), -0.264 to 0.149]; however, there was an inverse total effect (β: -0.243; 95% CI, -0.079 to -0.011) that was driven by HCA affordability (β: -0.025; 95% CI, -0.036 to -0.013), as well as pathways that included availability and consultation with a gynecologist oncologist.

conclusionsRacial differences in ovarian cancer treatment appear to be driven by latent variables representing healthcare affordability, availability, and accessibility. IMPACT: Strategies to mitigate disparities in multiple HCA domains will be transformative in advancing equity in cancer treatment.

Indexed as

MedicareOvarian NeoplasmsAgedBlack or African AmericanFemaleHealthcare DisparitiesHealth Services AccessibilityHumansLatent Class AnalysisReproducibility of ResultsUnited StatesWhite People

Identifiers

PMID36306380
PMCPMC9839516

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.