Evidence map›Paper›PMID 29447263›Full record

ArticlePloS one2018

Insurance status and cancer treatment mediate the association between race/ethnicity and cervical cancer survival.

Sarah C Markt, Tianyu Tang, Angel M Cronin, Ingrid T Katz, Brooke E Howitt, Neil S Horowitz, Larissa J Lee, Alexi A Wright

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
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  13. Enhancing Health Equity Through Cancer Health Economics Research.Journal of the National Cancer Institute. Monographs · 2022
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  16. Race, Age, Gender, and Insurance Status: A Comparative Analysis of Access to and Quality of Gastrointestinal Cancer Care.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2021
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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 at 2 institutions in 1 country.

Sarah C MarktDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0003-2873-0358
Tianyu TangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Angel M CroninDana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Ingrid T KatzHarvard Medical School, Boston, Massachusetts, United States of America.
Brooke E HowittHarvard Medical School, Boston, Massachusetts, United States of America.
Neil S HorowitzDana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Larissa J LeeDana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Alexi A WrightDana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Brigham and Women's Hospital · USHarvard University · US

Funding

Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
HIV Treatment Refusal Among Adults Presenting for Testing in Soweto, South AfricaK23MH097667 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI KATZ, INGRID T. · 2012 to 2016
$922k
Chemotherapy Near Death: Modifiable Factors and Outcomes in Ovarian CancerK07CA166210 · NCI · DANA-FARBER CANCER INST · PI WRIGHT, ALEXI A · 2013 to 2017
$886k
NCI NIH HHS K07 CA166210NCI NIH HHS T32 CA009001NIH HHS K07 CA166210NIH HHS K23 MH097667NIH HHS T32 CA09001NIMH NIH HHS K23 MH097667
6 · The paper itself

Abstract

Cervical cancer outcomes remain poor among disadvantaged populations, including ethnic minorities, low-income, and underinsured women. The aim of this study was to evaluate the mechanisms that underlie the observed association between race/ethnicity and cervical cancer survival. We identified 13,698 women, ages 21 to 64 years, diagnosed with stages I-III primary cervical cancer between 2007-2013 in Surveillance, Epidemiology, and End Results (SEER). Multivariable Cox proportional hazards regression models evaluated associations between race/ethnicity (Non-Hispanic White, Non-Hispanic Black, Hispanic, Other) and cervical cancer-specific mortality. We conducted mediation analysis to calculate the mediation proportion and its 95% confidence interval. Non-Hispanic black women had an increased risk of cervical cancer-specific mortality (HR: 1.23, 95% CI: 1.08-1.39), and Hispanic women a decreased risk of dying from their disease (HR: 0.82, 95% CI: 0.72-0.93), compared with non-Hispanic white. The estimated proportion of excess cervical cancer mortality for non-Hispanic black women relative to non-Hispanic white women that was mediated by insurance was 18.6% and by treatment was 47.2%. Furthermore, non-Hispanic black women were more likely to receive radiation and less likely to receive surgery for early-stage disease. In this population-based study we found that some of the excess cervical cancer-specific mortality for non-Hispanic black women is mediated by factors such as insurance status and treatment. These findings suggest that enhancing existing insurance coverage and ensuring equal and adequate treatment in all women may be a key strategy for improving cervical cancer outcomes.

Indexed as

EthnicityInsurance CoverageRacial GroupsAdultBlack or African AmericanFemaleHealthcare DisparitiesHispanic or LatinoHumansInsurance, HealthMiddle AgedProportional Hazards ModelsSEER ProgramUnited StatesUterine Cervical NeoplasmsWhite People

Identifiers

PMID29447263
PMCPMC5814056
OpenAlexW2786673153

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.