Evidence map›Paper›PMID 28079279›Full record

ArticleAmerican journal of industrial medicine2017

Evaluating predictors of lead exposure for activities disturbing materials painted with or containing lead using historic published data from U.S. workplaces.

Sarah J Locke, Nicole C Deziel, Dong-Hee Koh, Barry I Graubard, Mark P Purdue, Melissa C Friesen

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

6 authors.

Sarah J LockeDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland.
Nicole C DezielYale School of Public Health, Yale University, New Haven, Connecticut.
Dong-Hee KohDepartment of Occupational and Environmental Medicine, International St. Mary's Hospital, Catholic Kwandong University, Incheon, Korea.
Barry I GraubardDivision of Cancer Epidemiology and Genetics, Biostatistics Branch, National Cancer Institute, Bethesda, Maryland.
Mark P PurdueDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland.
Melissa C FriesenDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland.

Funding

Occupational Exposure AssessmentZIACP010122 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI FRIESEN, MELISSA · 2009 to 2025
$8.6M
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 CP010122Intramural NIH HHS ZIA CP010122
6 · The paper itself

Abstract

objectivesWe evaluated predictors of differences in published occupational lead concentrations for activities disturbing material painted with or containing lead in U.S. workplaces to aid historical exposure reconstruction.

methodsFor the aforementioned tasks, 221 air and 113 blood lead summary results (1960-2010) were extracted from a previously developed database. Differences in the natural log-transformed geometric mean (GM) for year, industry, job, and other ancillary variables were evaluated in meta-regression models that weighted each summary result by its inverse variance and sample size.

resultsAir and blood lead GMs declined 5%/year and 6%/year, respectively, in most industries. Exposure contrast in the GMs across the nine jobs and five industries was higher based on air versus blood concentrations. For welding activities, blood lead GMs were 1.7 times higher in worst-case versus non-worst case scenarios.

conclusionsJob, industry, and time-specific exposure differences were identified; other determinants were too sparse or collinear to characterize. Am. J. Ind. Med. 60:189-197, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

PaintAir Pollutants, OccupationalDatabases, FactualHumansLeadOccupational ExposureOccupationsUnited StatesAir Pollutants, OccupationalLeadexposure determinantsleadmeta-regressionoccupational exposurepopulation-based studies

Identifiers

PMID28079279
PMCPMC5261829

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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.