Evidence map›Paper›PMID 25256317›Full record

ArticleJournal of occupational and environmental hygiene2014

Estimation of the probability of exposure to machining fluids in a population-based case-control study.

Dong-Uk Park, Joanne S Colt, Dalsu Baris, Molly Schwenn, Margaret R Karagas, Karla R Armenti, Alison Johnson, Debra T Silverman, Patricia A Stewart

Abstract read
In one paragraph

Article in Journal of occupational and environmental hygiene, 2014. 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
0.6field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 6 institutions in 2 countries.

Dong-Uk Parka Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health , Bethesda , Maryland.
Joanne S Colt
Dalsu Baris
Molly Schwenn
Margaret R Karagas
Karla R Armenti
Alison Johnson
Debra T Silverman
Patricia A Stewart
National Cancer Institute · USNational Institutes of Health · USDartmouth College · USDepartment of Health and Human Services · USState of Maine Department of Health and Human Services · USVermont Department of Health · US

Funding

Cancer Risk and Environmental ExposuresZIACP010125 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$41.3M
Intramural NIH HHS ZIA CP010125
6 · The paper itself

Abstract

We describe an approach for estimating the probability that study subjects were exposed to metalworking fluids (MWFs) in a population-based case-control study of bladder cancer. Study subject reports on the frequency of machining and use of specific MWFs (straight, soluble, and synthetic/semi-synthetic) were used to estimate exposure probability when available. Those reports also were used to develop estimates for job groups, which were then applied to jobs without MWF reports. Estimates using both cases and controls and controls only were developed. The prevalence of machining varied substantially across job groups (0.1->0.9%), with the greatest percentage of jobs that machined being reported by machinists and tool and die workers. Reports of straight and soluble MWF use were fairly consistent across job groups (generally 50-70%). Synthetic MWF use was lower (13-45%). There was little difference in reports by cases and controls vs. controls only. Approximately, 1% of the entire study population was assessed as definitely exposed to straight or soluble fluids in contrast to 0.2% definitely exposed to synthetic/semi-synthetics. A comparison between the reported use of the MWFs and U.S. production levels found high correlations (r generally >0.7). Overall, the method described here is likely to have provided a systematic and reliable ranking that better reflects the variability of exposure to three types of MWFs than approaches applied in the past. [Supplementary materials are available for this article. Go to the publisher's online edition of Journal of Occupational and Environmental Hygiene for the following free supplemental resources: a list of keywords in the occupational histories that were used to link study subjects to the metalworking fluids (MWFs) modules; recommendations from the literature on selection of MWFs based on type of machining operation, the metal being machined and decade; popular additives to MWFs; the number and proportion of controls who reported various MWF responses by job group; the number and proportion of controls assigned to the MWF types by job group and exposure category; and the distribution of cases and controls assigned various levels of probability by MWF type.].

Indexed as

MetallurgyAdultAir Pollutants, OccupationalCase-Control StudiesHumansIndustrial OilsLubricationMaleMiddle AgedNew EnglandOccupational ExposureProbabilityRisk FactorsUnited StatesUrinary Bladder NeoplasmsYoung AdultAir Pollutants, Occupational

Identifiers

PMID25256317
PMCPMC4359797
OpenAlexW2042784586

What OpenQuestion holds

Textmetadata
LicenceTDM
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.