Evidence map›Paper›PMID 36723938›Full record

ArticleJAMA network open2023

Factor Analysis of Health Care Access With Ovarian Cancer Surgery and Gynecologic Oncologist Consultation.

Anjali Gupta, Quan Chen, Lauren E Wilson, Bin Huang, Maria Pisu, Margaret Liang, Rebecca A Previs, Haley A Moss, Kevin C Ward, Maria J Schymura and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  5. Observational
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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

12 authors at 5 institutions in 1 country.

Anjali GuptaDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Quan ChenDepartment of Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington.
Lauren E WilsonDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Bin HuangDepartment of Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington.
Maria PisuO'Neal Comprehensive Cancer Center, Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham.
Margaret LiangDivision of Gynecologic Oncology, Department of Obstetrics & Gynecology, University of Alabama at Birmingham, Birmingham.
Rebecca A PrevisDuke Cancer Institute, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, North Carolina.
Haley A MossDuke Cancer Institute, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, North Carolina.
Kevin C WardGeorgia Cancer Registry, Emory University, Atlanta.
Maria J SchymuraNew York State Cancer Registry, New York State Department of Health, Albany.
Andrew BerchuckDuke Cancer Institute, Division of Gynecologic Oncology, Duke University School of Medicine, Durham, North Carolina.
Tomi F AkinyemijuDepartment of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
Duke University · USUniversity of Alabama at Birmingham · USUniversity of Kentucky · USEmory University · USNew York State Department of Health · US

Funding

Stress-related inflammation and racial disparities in ovarian cancerR37CA233777 · NCI · DUKE UNIVERSITY · PI AKINYEMIJU, TOMI F · 2019 to 2025
$4.2M
NCI NIH HHS R37 CA233777
6 · The paper itself

Abstract

Importance: Poor health care access (HCA) is associated with racial and ethnic disparities in ovarian cancer (OC) survival. Objective: To generate composite scores representing health care affordability, availability, and accessibility via factor analysis and to evaluate the association between each score and key indicators of guideline-adherent care. Design, Setting, and Participants: This retrospective cohort study used data from patients with OC diagnosed between 2008 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) Medicare database. The SEER Medicare database uses cancer registry data and linked Medicare claims from 12 US states. Included patients were Hispanic, non-Hispanic Black, and non-Hispanic White individuals aged 65 years or older diagnosed from 2008 to 2015 with first or second primary OC of any histologic type (International Classification of Diseases for Oncology, 3rd Edition [ICD-O-3] code C569). Data were analyzed from June 2020 to June 2022. Exposures: The SEER-Medicare data set was linked with publicly available data sets to obtain 35 variables representing health care affordability, availability, and accessibility. A composite score was created for each dimension using confirmatory factor analysis followed by a promax (oblique) rotation on multiple component variables. Main Outcomes and Measures: The main outcomes were consultation with a gynecologic oncologist for OC and receipt of OC-related surgery in the 2 months prior to or 6 months after diagnosis. Results: The cohort included 8987 patients, with a mean (SD) age of 76.8 (7.3) years and 612 Black patients (6.8%), 553 Hispanic patients (6.2%), and 7822 White patients (87.0%). Black patients (adjusted odds ratio [aOR], 0.75; 95% CI, 0.62-0.91) and Hispanic patients (aOR, 0.81; 95% CI, 0.67-0.99) were less likely to consult a gynecologic oncologist compared with White patients, and Black patients were less likely to receive surgery after adjusting for demographic and clinical characteristics (aOR, 0.76; 95% CI, 0.62-0.94). HCA availability and affordability were each associated with gynecologic oncologist consultation (availability: aOR, 1.16; 95% CI, 1.09-1.24; affordability: aOR, 1.13; 95% CI, 1.07-1.20), while affordability was associated with receipt of OC surgery (aOR, 1.08; 95% CI, 1.01-1.15). In models mutually adjusted for availability, affordability, and accessibility, Black patients remained less likely to consult a gynecologic oncologist (aOR, 0.80; 95% CI, 0.66-0.97) and receive surgery (aOR, 0.80; 95% CI, 0.65-0.99). Conclusions and Relevance: In this cohort study of Hispanic, non-Hispanic Black, and non-Hispanic White patients with OC, HCA affordability and availability were significantly associated with receiving surgery and consulting a gynecologic oncologist. However, these dimensions did not fully explain racial and ethnic disparities.

Indexed as

MedicareOvarian NeoplasmsAgedCohort StudiesFemaleHealth Services AccessibilityHumansReferral and ConsultationRetrospective StudiesUnited States

Identifiers

PMID36723938
PMCPMC9892953
OpenAlexW4318753965

What OpenQuestion holds

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LicenceCC BY
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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.