Evidence map›Paper›PMID 32375682›Full record

ArticleBMC cancer2020

Spatial patterns in prostate Cancer-specific mortality in Pennsylvania using Pennsylvania Cancer registry data, 2004-2014.

Ming Wang, Emily Wasserman, Nathaniel Geyer, Rachel M Carroll, Shanshan Zhao, Lijun Zhang, Raymond Hohl, Eugene J Lengerich, Alicia C McDonald

Abstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

9 authors.

Ming WangDepartment of Public Health Sciences, Penn State College of Medicine and Cancer Institute, 90 Hope Drive, Hershey, PA, 17033, USA. muw22@psu.edu.ORCID http://orcid.org/0000-0002-9977-7041
Emily WassermanDepartment of Public Health Sciences, Penn State College of Medicine and Cancer Institute, 90 Hope Drive, Hershey, PA, 17033, USA.
Nathaniel GeyerDepartment of Public Health Sciences, Penn State College of Medicine and Cancer Institute, 90 Hope Drive, Hershey, PA, 17033, USA.
Rachel M CarrollDepartment of Mathematics and Statistics, the University of North Carolina at Wilmington, Wilmington, NC, USA.
Shanshan ZhaoBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
Lijun ZhangPenn State Cancer Institute, Hershey, PA, USA.
Raymond HohlPenn State Cancer Institute, Hershey, PA, USA.
Eugene J LengerichDepartment of Public Health Sciences, Penn State College of Medicine and Cancer Institute, 90 Hope Drive, Hershey, PA, 17033, USA.
Alicia C McDonaldDepartment of Public Health Sciences, Penn State College of Medicine and Cancer Institute, 90 Hope Drive, Hershey, PA, 17033, USA.

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Highmark Incorporation Grant NoneNCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

backgroundSpatial heterogeneity of prostate cancer-specific mortality in Pennsylvania remains unclear. We utilized advanced geospatial survival regressions to examine spatial variation of prostate cancer-specific mortality in PA and evaluate potential effects of individual- and county-level risk factors.

methodsProstate cancer cases, aged ≥40 years, were identified in the 2004-2014 Pennsylvania Cancer Registry. The 2018 County Health Rankings data and the 2014 U.S. Environmental Protection Agency's Environmental Quality Index were used to extract county-level data. The accelerated failure time models with spatial frailties for geographical correlations were used to assess prostate cancer-specific mortality rates for Pennsylvania and by the Penn State Cancer Institute (PSCI) 28-county catchment area. Secondary assessment based on estimated spatial frailties was conducted to identify potential health and environmental risk factors for mortality.

resultsThere were 94,274 cases included. The 5-year survival rate in PA was 82% (95% confidence interval, CI: 81.1-82.8%), with the catchment area having a lower survival rate 81% (95% CI: 79.5-82.6%) compared to the non-catchment area rate of 82.3% (95% CI: 81.4-83.2%). Black men, uninsured, more aggressive prostate cancer, rural and urban Appalachia, positive lymph nodes, and no definitive treatment were associated with lower survival. Several county-level health (i.e., poor physical activity) and environmental factors in air and land (i.e., defoliate chemical applied) were associated with higher mortality rates.

conclusionsSpatial variations in prostate cancer-specific mortality rates exist in Pennsylvania with a higher risk in the PSCI's catchment area, in particular, rural-Appalachia. County-level health and environmental factors may contribute to spatial heterogeneity in prostate cancer-specific mortality.

Indexed as

AdultAgedEthnicityFollow-Up StudiesGeographyHumansMaleMiddle AgedPennsylvaniaPrognosisProstatic NeoplasmsRegistriesRisk FactorsRural PopulationSpatial AnalysisSurvival RateAccelerated failure time modelsCatchment areaMortalityProstate cancerSpatial heterogeneity

Identifiers

PMID32375682
PMCPMC7203834

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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.