Evidence map›Paper›PMID 36794910›Full record

ArticleJNCI cancer spectrum2023

Health-care access dimensions and ovarian cancer survival: SEER-Medicare analysis of the ORCHiD study.

Mary Katherine Montes de Oca, Quan Chen, Elizabeth Howell, Lauren E Wilson, Clare Meernik, Rebecca A Previs, Bin Huang, Maria Pisu, Margaret I Liang, Kevin C Ward and 3 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

13 authors.

Mary Katherine Montes de OcaDepartment of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA.
Quan ChenDivision of Cancer Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington, KY, USA.
Elizabeth HowellDepartment of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA.
Lauren E WilsonDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Clare MeernikDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-8564-1266
Rebecca A PrevisDivision of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA.
Bin HuangDivision of Cancer Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington, KY, USA.
Maria PisuDivision of Preventive Medicine and O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0001-9329-3268
Margaret I LiangDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Kevin C WardDepartment of Epidemiology, Emory University, Atlanta, GA, USA.
Maria J SchymuraNew York State Department of Health, New York State Cancer Registry, Albany, NY, USA.
Andrew BerchuckDivision of Gynecologic Oncology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC, USA.
Tomi AkinyemijuDepartment of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.ORCID 0000-0002-1412-3234

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI KATHLEEN L. O'CONNOR · 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
NCI NIH HHS P30 CA177558NCI NIH HHS R37 CA233777NCI NIH HHS R37CA233777
6 · The paper itself

Abstract

backgroundRacial and ethnic disparities in ovarian cancer (OC) survival are well-documented. However, few studies have investigated how health-care access (HCA) contributes to these disparities.

methodsTo evaluate the influence of HCA on OC mortality, we analyzed 2008-2015 Surveillance, Epidemiology, and End Results-Medicare data. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between HCA dimensions (affordability, availability, accessibility) and OC-specific and all-cause mortality, adjusting for patient characteristics and treatment receipt.

resultsThe study cohort included 7590 OC patients: 454 (6.0%) Hispanic, 501 (6.6%) Non-Hispanic (NH) Black, and 6635 (87.4%) NH White. Higher affordability (HR = 0.90, 95% CI = 0.87 to 0.94), availability (HR = 0.95, 95% CI = 0.92 to 0.99), and accessibility scores (HR = 0.93, 95% CI = 0.87 to 0.99) were associated with lower risk of OC mortality after adjusting for demographic and clinical factors. Racial disparities were observed after additional adjustment for these HCA dimensions: NH Black patients experienced a 26% higher risk of OC mortality compared with NH White patients (HR = 1.26, 95% CI = 1.11 to 1.43) and a 45% higher risk among patients who survived at least 12 months (HR = 1.45, 95% CI = 1.16 to 1.81).

conclusionsHCA dimensions are statistically significantly associated with mortality after OC and explain some, but not all, of the observed racial disparity in survival of patients with OC. Although equalizing access to quality health care remains critical, research on other HCA dimensions is needed to determine additional factors contributing to disparate OC outcomes by race and ethnicity and advance the field toward health equity.

Indexed as

Health Services AccessibilityOvarian NeoplasmsAgedEthnicityFemaleHealth Status DisparitiesHumansMedicareRacial GroupsSurvival AnalysisUnited States

Identifiers

PMID36794910
PMCPMC10066801

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.