Evidence map›Paper›PMID 31504127›Full record

ReviewAnnals of work exposures and health2019

Estimation of Source-Specific Occupational Benzene Exposure in a Population-Based Case-Control Study of Non-Hodgkin Lymphoma.

Pamela J Dopart, Sarah J Locke, Pierluigi Cocco, Bryan A Bassig, Pabitra R Josse, Patricia A Stewart, Mark P Purdue, Qing Lan, Nathaniel Rothman, Melissa C Friesen

Abstract readReview
In one paragraph

Review in Annals of work exposures and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Pamela J DopartOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA.
Sarah J LockeOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA.
Pierluigi CoccoDepartment of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Monserrato, Italy.
Bryan A BassigOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA.
Pabitra R JosseOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA.
Patricia A StewartStewart Exposure Assessments, LLC, Arlington, VA, USA.
Mark P PurdueOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA.
Qing LanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA.
Nathaniel RothmanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA.
Melissa C FriesenOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA.

Funding

STUDIES ON OCCUPATIONAL CANCER--EXPOSURES OTHER THAN PESTICIDESZ01CP010120 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HAYES, RICHARD S · 1996 to 2008
$9.0M
STUDIES OF OCCUPATIONAL CANCER--OCCUPATIONAL EXPOSURE ASSESSMENTZ01CP010122 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI DOSEMECI, MUSTAFA · 1996 to 2008
$83k
Intramural NIH HHS Z01 CP010120Intramural NIH HHS Z01 CP010122
6 · The paper itself

Abstract

objectivesOccupational exposures in population-based case-control studies are increasingly being assessed using decision rules that link participants' responses to occupational questionnaires to exposure estimates. We used a hierarchical process that incorporated decision rules and job-by-job expert review to assign occupational benzene exposure estimates in a US population-based case-control study of non-Hodgkin lymphoma.

methodsWe conducted a literature review to identify scenarios in which occupational benzene exposure has occurred, which we grouped into 12 categories of benzene exposure sources. For each source category, we then developed decision rules for assessing probability (ordinal scale based on the likelihood of exposure > 0.02 ppm), frequency (proportion of work time exposed), and intensity of exposure (in ppm). The rules used the participants' occupational history responses and, for a subset of jobs, responses to job- and industry-specific modules. For probability and frequency, we used a hierarchical assignment procedure that prioritized subject-specific module information when available. Next, we derived job-group medians from the module responses to assign estimates to jobs with only occupational history responses. Last, we used job-by-job expert review to assign estimates when job-group medians were not available or when the decision rules identified possible heterogeneous or rare exposure scenarios. For intensity, we developed separate estimates for each benzene source category that were based on published measurement data whenever possible. Frequency and intensity annual source-specific estimates were assigned only for those jobs assigned ≥75% probability of exposure. Annual source-specific concentrations (intensity × frequency) were summed to obtain a total annual benzene concentration for each job.

resultsOf the 8827 jobs reported by participants, 8% required expert review for one or more source categories. Overall, 287 (3.3%) jobs were assigned ≥75% probability of exposure from any benzene source category. The source categories most commonly assigned ≥75% probability of exposure were gasoline and degreasing. The median total annual benzene concentration among jobs assigned ≥75% probability was 0.11 ppm (interquartile range: 0.06-0.55). The highest source-specific median annual concentrations were observed for ink and printing (2.3 and 1.2 ppm, respectively).

conclusionsThe applied framework captures some subject-specific variability in work tasks, provides transparency to the exposure decision process, and facilitates future sensitivity analyses. The developed decision rules can be used as a starting point by other researchers to assess occupational benzene exposure in future population-based studies.

Indexed as

BenzeneCase-Control StudiesDecision Support TechniquesHumansLymphoma, Non-HodgkinOccupational ExposureOccupationsRetrospective StudiesRisk AssessmentSurveys and QuestionnairesBenzenebenzenecase–control studyNHLretrospective exposure assessment

Identifiers

PMID31504127
PMCPMC6788340

What OpenQuestion holds

Textmetadata
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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.