Evidence map›Paper›PMID 34473212›Full record

ArticleAnnals of work exposures and health2022

Linear Relationships Between Total Hydrocarbons and Benzene, Toluene, Ethylbenzene, Xylene, and n-Hexane during the Deepwater Horizon Response and Clean-up.

Caroline P Groth, Tran B Huynh, Sudipto Banerjee, Gurumurthy Ramachandran, Patricia A Stewart, Harrison Quick, Dale P Sandler, Aaron Blair, Lawrence S Engel, Richard K Kwok and 1 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Annals of work exposures and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

19 citing papers in PubMed, 21 citations in OpenAlex.

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  13. Exposure Group Development in Support of the NIEHS GuLF Study.Annals of work exposures and health · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 8 institutions in 1 country.

Caroline P GrothDepartment of Epidemiology and Biostatistics, WVU School of Public Health, West Virginia University, One Medical Center Drive, Morgantown, WV 26506, USA.ORCID 0000-0001-9444-0207
Tran B HuynhDepartment of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, 3215 Market St, Philadelphia, PA 19104, USA.
Sudipto BanerjeeDepartment of Biostatistics, UCLA Fielding School of Public Health, University of California -Los Angeles, 650 Charles E. Young Drive, Los Angeles, CA 90095, USA.
Gurumurthy RamachandranDepartment of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, USA.ORCID 0000-0001-9869-284X
Patricia A StewartStewart Exposure Assessments, LLC, 6045 N. 27th. St., Arlington, VA 22207, USA.
Harrison QuickDepartment of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, 3215 Market St, Philadelphia, PA 19104, USA.
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive MD A3-05, P.O. Box 12233, Research Triangle Park, NC 27709, USA.ORCID 0000-0002-6776-0018
Aaron BlairNational Cancer Institute, 9609 Medical Center Drive, Building 9609 MSC 9760, Bethesda, MD 20892-9760, USA.
Lawrence S EngelEpidemiology Branch, National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive MD A3-05, P.O. Box 12233, Research Triangle Park, NC 27709, USA.
Richard K KwokEpidemiology Branch, National Institute of Environmental Health Sciences, 111 T.W. Alexander Drive MD A3-05, P.O. Box 12233, Research Triangle Park, NC 27709, USA.ORCID 0000-0002-6794-8360
Mark R StenzelExposure Assessment Applications, LLC, 6045 N. 27th. St., Arlington, VA 22207, USA.ORCID 0000-0001-7840-234X
Drexel University · USJohns Hopkins University · USNational Cancer Institute · USNational Institute of Environmental Health Sciences · USOffice of the Director · USUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · USWest Virginia University · US

Funding

Gulf Longitudinal Follow-up (GuLF) Worker StudyZIAES102945 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2010 to 2025
$15.3M
Hierarchical Modeling and Analysis for Large Spatially and Temporally Misaligned Data in Environmental Health ApplicationsR01ES027027 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BANERJEE, SUDIPTO · 2017 to 2021
$1.7M
Flexible Bayesian Hierarchical Models for Estimating Inhalation ExposuresR01ES030210 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BANERJEE, SUDIPTO · 2019 to 2022
$1.6M
ACL HHS K01OH011191NIEHS NIH HHS R01 ES027027NIEHS NIH HHS R01 ES030210NIEHS NIH HHS ZO1ES102945NIOSH CDC HHS K01 OH011191
6 · The paper itself

Abstract

objectivesOur objectives were to (i) determine correlations between measurements of THC and of BTEX-H, (ii) apply these linear relationships to predict BTEX-H from measured THC, (iii) use these correlations as informative priors in Bayesian analyses to estimate exposures.

methodsWe used a Bayesian left-censored bivariate framework for all 3 objectives. First, we modeled the relationships (i.e. correlations) between THC and each BTEX-H chemical for various overarching groups of measurements using linear regression to determine if correlations derived from linear relationships differed by various exposure determinants. We then used the same linear regression relationships to predict (or impute) BTEX-H measurements from THC when only THC measurements were available. Finally, we used the same linear relationships as priors for the final exposure models that used real and predicted data to develop exposure estimate statistics for each individual exposure group.

resultsCorrelations between measurements of THC and each of the BTEX-H chemicals (n = 120 for each of BTEX, 36 for n-hexane) differed substantially by area of the Gulf of Mexico and by time period that reflected different oil-spill related exposure opportunities. The correlations generally exceeded 0.5. Use of regression relationships to impute missing data resulted in the addition of >23 000 n-hexane and 541 observations for each of BTEX. The relationships were then used as priors for the calculation of exposure statistics while accounting for censored measurement data.

conclusionsTaking advantage of observed relationships between THC and BTEX-H allowed us to develop robust exposure estimates where a large amount of data were missing, strengthening our exposure estimation process for the epidemiologic study.

Indexed as

BenzeneOccupational ExposureBayes TheoremBenzene DerivativesHexanesHumansHydrocarbonsTolueneXylenesBenzeneBenzene DerivativesethylbenzeneHexanesHydrocarbonsn-hexaneTolueneXylenesBTEXcorrelationsDeepwater Horizondeterminants of exposuren-hexane

Identifiers

PMID34473212
PMCPMC8989044
OpenAlexW3197616990

What OpenQuestion holds

Textmetadata
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.