Evidence map›Paper›PMID 27706495›Full record

ArticleSouthern medical journal2016

Relations Between Residential Proximity to EPA-Designated Toxic Release Sites and Diffuse Large B-Cell Lymphoma Incidence.

Catherine Bulka, Loretta J Nastoupil, Jean L Koff, Leon Bernal-Mizrachi, Kevin C Ward, Jessica N Williams, A Rana Bayakly, Jeffrey M Switchenko, Lance A Waller, Christopher R Flowers

Abstract read
In one paragraph

Article in Southern medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Linking Environmental Exposures to Molecular Pathogenesis in Non-Hodgkin Lymphoma Subtypes.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Review
  12. 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

10 authors.

Catherine BulkaFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
Loretta J NastoupilFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
Jean L KoffFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
Leon Bernal-MizrachiFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
Kevin C WardFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
Jessica N WilliamsFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
A Rana BayaklyFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
Jeffrey M SwitchenkoFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
Lance A WallerFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.
Christopher R FlowersFrom the Division of Epidemiology and Biostatistics, University of Illinois at Chicago School of Public Health, Chicago, the University of Texas MD Anderson Cancer Center, Houston, the Departments of Hematology and Oncology and Biostatistics and Bioinformatics Shared Resource, Winship Cancer Institute, and the Departments of Epidemiology and Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, and the Georgia Department of Public Health, Atlanta.

Funding

Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
Biological Variants Underlying Racial Differences in LymphomaR21CA158686 · NCI · EMORY UNIVERSITY · PI FLOWERS, CHRISTOPHER R · 2012 to 2013
$371k
NCI NIH HHS R21 CA158686NIEHS NIH HHS P30 ES019776
6 · The paper itself

Abstract

objectivesExamining the spatial patterns of diffuse large B-cell lymphoma (DLBCL) incidence and residential proximity to toxic release locations may provide insight regarding environmental and sociodemographic risk factors.

methodsWe linked and geocoded cancer incidence data for the period 1999-2008 from the Georgia Comprehensive Cancer Registry with population data from the US Census and the Environmental Protection Agency's Toxics Release Inventory. We conducted cluster analyses and constructed Poisson regression models to assess DLBCL incidence as a function of mean distance to the toxic release sites.

resultsIn total, 3851 incident DLBCL cases occurred among adults residing in Georgia between 1999 and 2008. Significant focal clustering was observed around 57% of ethylene oxide sites, 5% of benzene sites, 9% of tetrachloroethylene sites, 7% of styrene sites, 10% of formaldehyde sites, 5% of trichloroethylene sites, and 10% of all release sites. Mean distance to sites was significantly associated with DLBCL risk for all chemicals.

conclusionsProximity to Toxics Release Inventory sites can be linked to increased DLBCL risk as assessed through focal clustering and Poisson regression, and confirmatory studies using geospatial mapping can aid in further specifying risk factors for DLBCL.

Indexed as

AdultEnvironmental ExposureFemaleGeographic Information SystemsGeorgiaHazardous SubstancesHumansIncidenceLymphoma, Large B-Cell, DiffuseMaleMiddle AgedRegistriesRisk FactorsUnited StatesUnited States Environmental Protection AgencyYoung AdultHazardous Substances

Identifiers

PMID27706495
PMCPMC5076563

What OpenQuestion holds

Textmetadata
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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.