Evidence map›Paper›PMID 33269338›Full record

ArticleJNCI cancer spectrum2020

Proximity to Oil Refineries and Risk of Cancer: A Population-Based Analysis.

Stephen B Williams, Yong Shan, Usama Jazzar, Preston S Kerr, Ikenna Okereke, V Suzanne Klimberg, Douglas S Tyler, Nagireddy Putluri, David S Lopez, John D Prochaska and 4 more

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

14 authors.

Stephen B WilliamsDepartment of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA.ORCID 0000-0002-2683-2185
Yong ShanDepartment of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA.
Usama JazzarDepartment of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA.
Preston S KerrDepartment of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA.ORCID 0000-0002-4442-8581
Ikenna OkerekeDepartment of Surgery, Division of Thoracic Surgery, The University of Texas Medical Branch, Galveston, TX, USA.
V Suzanne KlimbergDepartment of Surgery, Division of Surgical Oncology, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Douglas S TylerDepartment of Surgery, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Nagireddy PutluriDepartment of Molecular and Cellular Biology, Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA.
David S LopezDepartment of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.ORCID 0000-0002-2321-0372
John D ProchaskaDepartment of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Cornelis ElferinkDepartment of Pharmacology and Toxicology, Center for Environmental Toxicology, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Jacques G BaillargeonDepartment of Medicine, Division of Epidemiology, Sealy Center on Aging, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Yong-Fang KuoDepartment of Medicine, Division of Epidemiology, Sealy Center on Aging, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.
Hemalkumar B MehtaDepartment of Surgery, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.

Funding

Translational Research Support CoreP30ES030285 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI Cheryl L. Walker · 2019 to 2026
$14.7M
Aryl Hydrocarbon Receptor-Mediated Epigenetic ProcessesR01ES026874 · NIEHS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI ELFERINK, CORNELIS JOHAN · 2016 to 2020
$2.2M
NIEHS NIH HHS P30 ES030285NIEHS NIH HHS R01 ES026874
6 · The paper itself

Abstract

backgroundThe association between proximity to oil refineries and cancer rate is largely unknown. We sought to compare the rate of cancer (bladder, breast, colon, lung, lymphoma, and prostate) according to proximity to an oil refinery in Texas.

methodsA total of 6 302 265 persons aged 20 years or older resided within 30 miles of an oil refinery from 2010 to 2014. We used multilevel zero-inflated Poisson regression models to examine the association between proximity to an oil refinery and cancer rate.

resultsWe observed that proximity to an oil refinery was associated with a statistically significantly increased risk of incident cancer diagnosis across all cancer types. For example, persons residing within 0-10 (risk ratio [RR] = 1.13, 95% confidence interval [CI] = 1.07 to 1.19) and 11-20 (RR = 1.05, 95% CI = 1.00 to 1.11) miles were statistically significantly more likely to be diagnosed with lymphoma than individuals who lived within 21-30 miles of an oil refinery. We also observed differences in stage of cancer at diagnosis according to proximity to an oil refinery. Moreover, persons residing within 0-10 miles were more likely to be diagnosed with distant metastasis and/or systemic disease than people residing 21-30 miles from an oil refinery. The greatest risk of distant disease was observed in patients diagnosed with bladder cancer living within 0-10 vs 21-30 miles (RR = 1.30, 95% CI = 1.02 to 1.65), respectively.

conclusionsProximity to an oil refinery was associated with an increased risk of multiple cancer types. We also observed statistically significantly increased risk of regional and distant/metastatic disease according to proximity to an oil refinery.

Identifiers

PMID33269338
PMCPMC7691047

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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.