Evidence map›Paper›PMID 28395243›Full record

ArticleEnvironmental research2017

Impact of community disadvantage and air pollution burden on geographic disparities of ovarian cancer survival in California.

Verónica M Vieira, Carolina Villanueva, Jenny Chang, Argyrios Ziogas, Robert E Bristow

Abstract read
In one paragraph

Article in Environmental research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Assessing Upstream Structural and Social Drivers of Health in Breast Cancer Survivorship: The Pathways Study Neighborhood Resource.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  18. Using Latent Class Modeling to Jointly Characterize Economic Stress and Multipollutant Exposure.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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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

5 authors.

Verónica M VieiraProgram in Public Health, College of Health Sciences, University of California, Irvine, CA, United States; Chao Family Comprehensive Cancer Center, University of California, Irvine, CA, United States. Electronic address: vvieira@uci.edu.
Carolina VillanuevaProgram in Public Health, College of Health Sciences, University of California, Irvine, CA, United States.
Jenny ChangDepartment of Epidemiology, School of Medicine, University of California, Irvine, CA, United States.
Argyrios ZiogasDepartment of Epidemiology, School of Medicine, University of California, Irvine, CA, United States.
Robert E BristowChao Family Comprehensive Cancer Center, University of California, Irvine, CA, United States; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of California, Irvine-Medical Center, Orange, CA, United States.

Funding

Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HAHN, MARK E · 1995 to 2019
$46.1M
University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
NCATS NIH HHS UL1 TR001414NIEHS NIH HHS P42 ES007381
6 · The paper itself

Abstract

Ovarian cancer survival varies geographically throughout California. The objective of this study is to determine the impact of living in disadvantaged communities on spatial patterns of survival disparities. Including a bivariate spatial smooth of geographic location within the Cox proportional hazard models is an effective approach for spatial analyses of cancer survival. Women diagnosed with advanced Stage IIIC/IV epithelial ovarian cancer (1996-2006) were identified from the California Cancer Registry. The impact of living in disadvantaged communities, as measured by the California Office of Environmental Health Hazard Assessment cumulative CalEnviroScreen 2.0 score, on geographic disparities in survival was assessed while controlling for age, tumor characteristics, quality of care, and race. Community-level air quality indicators and socioeconomic status (SES) were also independently examined in secondary analyses. The Cox proportional hazard spatial methods are available in the MapGAM package implemented in R. An increase in the community disadvantage from the 5th (less disadvantage) to the 95th percentile (more disadvantage) was significantly associated with poorer ovarian cancer survival (hazard ratio [HR], 1.16; 95% confidence interval [CI], 1.07-1.26). Ozone levels and SES were the most influential indicators on geographic disparities that warrant further investigation. The use of a bivariate smoother of location within the survival model allows for more advanced spatial analyses for exploring potential air quality-related predictors of geographic disparities.

Indexed as

AgedAir PollutantsCaliforniaCarcinoma, Ovarian EpithelialFemaleGasolineHumansMiddle AgedNeoplasms, Glandular and EpithelialOvarian NeoplasmsOzoneParticulate MatterProportional Hazards ModelsResidence CharacteristicsSocial ClassVehicle EmissionsAir PollutantsGasolineOzoneParticulate MatterVehicle EmissionsAir pollution burdenGeographic locationMapGAMOvarian cancer survivalOzone

Identifiers

PMID28395243
PMCPMC5467739

What OpenQuestion holds

Textmetadata
LicenceTDM
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.