Evidence map›Paper›PMID 26257450›Full record

ArticleApplied geography (Sevenoaks, England)2015

GEOGRAPHICALLY-WEIGHTED REGRESSION ANALYSIS OF PERCENTAGE OF LATE-STAGE PROSTATE CANCER DIAGNOSIS IN FLORIDA.

Pierre Goovaerts, Hong Xiao, Georges Adunlin, Askal Ali, Fei Tan, Clement K Gwede, Youjie Huang

Abstract read
In one paragraph

Article in Applied geography (Sevenoaks, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Lung Cancer Mortality and Topography: A Xuanwei Case Study.International journal of environmental research and public health · 2016
    Article
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

7 authors.

Pierre GoovaertsBioMedware, Inc., Ann Arbor, MI, USA.
Hong XiaoUniversity of Florida, Gainesville, FL, USA.
Georges AdunlinUniversity of Florida, Gainesville, FL, USA.
Askal AliUniversity of Florida, Gainesville, FL, USA.
Fei TanIndiana University-Purdue University Indianapolis, Indianapolis, IN, USA.
Clement K GwedeMoffitt Cancer Center, Tampa, FL, USA.
Youjie HuangFlorida Department of Health, Tallahassee, FL, USA.

Funding

THE PREVENTION OF B(A)P INDUCED CELL TRANSFORMATION BY ORGANOSULFUR COMPOUNDSG12RR003020 · NCRR · FLORIDA AGRICULTURAL AND MECHANICAL UNIV · PI DARLING-REED, SELINA FAITH · 1985 to 2011
$29.7M
Recruitment and HiringG12MD007582 · NIMHD · FLORIDA AGRICULTURAL AND MECHANICAL UNIV · PI SOLIMAN, KARAM F.A. · 2012 to 2017
$16.0M
Targeted Nanocarrier Combination Based Therapy for Lung CancerP20MD006738 · NIMHD · FLORIDA AGRICULTURAL AND MECHANICAL UNIV · PI SOLIMAN, KARAM F.A. · 2012 to 2016
$5.6M
Geostatistical software for the analysis of individual-level epidemiologic dataR44CA132347 · NCI · BIOMEDWARE · PI GOOVAERTS, PIERRE E · 2009 to 2010
$857k
A geostatistical framework for the multi-scale boundary analysis of space-time trR21ES021570 · NIEHS · BIOMEDWARE · PI GOOVAERTS, PIERRE E · 2013 to 2014
$426k
Three-dimensional visualization, interactive analysis and contextual mapping of sR43CA150496 · NCI · BIOMEDWARE · PI GOOVAERTS, PIERRE E · 2010 to 2010
$143k
Geostatistical software for health and exposure analysisR43CA105819 · NCI · BIOMEDWARE · PI GOOVAERTS, PIERRE E · 2004 to 2004
$100k
NCI NIH HHS R43 CA105819NCI NIH HHS R43 CA150496NCI NIH HHS R44 CA132347NCRR NIH HHS G12 RR003020NIEHS NIH HHS R21 ES021570NIMHD NIH HHS G12 MD007582NIMHD NIH HHS P20 MD006738
6 · The paper itself

Abstract

This study assessed spatial context and the local impacts of putative factors on the proportion of prostate cancer diagnosed at late-stages in Florida during the period 2001-2007. A logistic regression was performed aspatially and by geographically-weighted regression (GWR) at the nodes of a 5 km spacing grid overlaid over Florida and using all the cancer cases within a radius of 125 km of each node. Variables associated significantly with high percentages of late-stage prostate cancer included having comorbidities, smoking, being Black and living in census tracts with farmhouses. Having private or public insurance, being married or diagnosed in a for-profit facility, as well as living in census tracts with high household income reduced significantly this likelihood. Geographically-weighted regression allowed the identification of areas where the local odds ratio is significantly different from the ratio estimated using aspatial regression (State-level). For example, the local odds ratios for the comorbidity covariates were significantly smaller than the State-level odds ratio in Tallahassee and Pensacola, while they were significantly larger in Palm Beach. This emphasizes the need for local strategies and cancer control interventions to reduce the percentage of prostate cancer diagnosed at late-stages and ultimately eliminate health disparities.

Identifiers

PMID26257450
PMCPMC4527353

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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.