Evidence map›Paper›PMID 26949112›Full record

ArticleCancer epidemiology2016

Resolving uncertainty in the spatial relationships between passive benzene exposure and risk of non-Hodgkin lymphoma.

Jeffrey M Switchenko, Catherine Bulka, Kevin Ward, Jean L Koff, A Rana Bayakly, P Barry Ryan, Lance A Waller, Christopher R Flowers

Open access · hybridAbstract read
In one paragraph

Article in Cancer epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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
  6. Article
  7. 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

8 authors at 2 institutions in 2 countries.

Jeffrey M SwitchenkoDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: jswitch@emory.edu.
Catherine BulkaDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA.
Kevin WardDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Georgia Center for Cancer Statistics, Atlanta, GA, USA.
Jean L KoffDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA.
A Rana BayaklyGeorgia Department of Public Health, Atlanta, GA, USA.
P Barry RyanDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Lance A WallerDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Christopher R FlowersDepartment of Hematology and Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, USA.
Emory University · USGeorgia Department of Public Health · US

Funding

Winship Cancer Institute Cancer Center Support GrantP30CA138292 · NCI · EMORY UNIVERSITY · PI Suresh S Ramalingam · 2009 to 2026
$47.5M
Biological Variants Underlying Racial Differences in LymphomaR21CA158686 · NCI · EMORY UNIVERSITY · PI FLOWERS, CHRISTOPHER R · 2012 to 2013
$371k
NCI NIH HHS P30 CA138292NCI NIH HHS P30CA138292NCI NIH HHS R21 CA158686NCI NIH HHS R21CA158686
6 · The paper itself

Abstract

backgroundBenzene is a known occupational carcinogen associated with increased risk of hematologic cancers, but the relationships between quantity of passive benzene exposure through residential proximity to toxic release sites, duration of exposure, lag time from exposure to cancer development, and lymphoma risk remain unclear.

methodsWe collected release data through the Environmental Protection Agency's Toxics Release Inventory (TRI) from 1989 to 2003, which included location of benzene release sites, years when release occurred, and amount of release. We also collected data on incident cases of non-Hodgkin lymphoma (NHL) from the Georgia Comprehensive Cancer Registry (GCCR) for the years 1999-2008. We constructed distance-decay surrogate exposure metrics and Poisson and negative binomial regression models of NHL incidence to quantify associations between passive exposure to benzene and NHL risk and examined the impact of amount, duration of exposure, and lag time on cancer development. Akaike's information criteria (AIC) were used to determine the scaling factors for benzene dispersion and exposure periods that best predicted NHL risk.

resultsUsing a range of scaling factors and exposure periods, we found that increased levels of passive benzene exposure were associated with higher risk of NHL. The best fitting model, with a scaling factor of 4 kilometers (km) and exposure period of 1989-1993, showed that higher exposure levels were associated with increased NHL risk (Level 4 (1.1-160kilograms (kg)) vs. Level 1: risk ratio 1.56 [1.44-1.68], Level 5 (>160kg) vs. Level 1: 1.60 [1.48-1.74]).

conclusionsHigher levels of passive benzene exposure are associated with increased NHL risk across various lag periods. Additional epidemiological studies are needed to refine these models and better quantify the expected total passive benzene exposure in areas surrounding release sites.

Indexed as

BenzeneGeorgiaHumansIncidenceLymphoma, Non-HodgkinOdds RatioRiskUncertaintyBenzeneEnvironmental epidemiologyEPALymphomaSpatial epidemiologyToxic release sites

Identifiers

PMID26949112
PMCPMC4946246
OpenAlexW2292679553

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.