Evidence map›Paper›PMID 25060071›Full record

ArticleAmerican journal of industrial medicine2014

Developing estimates of frequency and intensity of exposure to three types of metalworking fluids in a population-based case-control study of bladder cancer.

Melissa C Friesen, 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 American journal of industrial medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Response.Journal of the National Cancer Institute · 2016
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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.

Melissa C FriesenOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Rockville, Maryland.
Dong-Uk Park
Joanne S Colt
Dalsu Baris
Molly Schwenn
Margaret R Karagas
Karla R Armenti
Alison Johnson
Debra T Silverman
Patricia A Stewart

Funding

Cancer Risk and Environmental ExposuresZIACP010125 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI PURDUE, MARK · 2009 to 2025
$41.3M
Studies of Occupational CancerZIACP010120 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI LAN, QING · 2009 to 2025
$34.4M
Occupational Exposure AssessmentZIACP010122 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI FRIESEN, MELISSA · 2009 to 2025
$8.6M
Intramural NIH HHS ZIA CP010120Intramural NIH HHS ZIA CP010122
6 · The paper itself

Abstract

backgroundA systematic, transparent, and data-driven approach was developed to estimate frequency and intensity of exposure to straight, soluble, and synthetic/semi-synthetic metalworking fluids (MWFs) within a case-control study of bladder cancer in New England.

methodsWe assessed frequency using individual-level information from job-specific questionnaires wherever possible, then derived and applied job group-level patterns to likely exposed jobs with less information. Intensity estimates were calculated using a statistical model developed from measurements and determinants extracted from the published literature.

resultsFor jobs with probabilities of exposure≥0.5, median frequencies were 8-10 hr/week, depending on MWF type. Median intensities for these jobs were 2.5, 2.1, and 1.0 mg/m3 for soluble, straight, and synthetic/semi-synthetic MWFs, respectively.

conclusionsCompared to case-by-case assessment, these data-driven decision rules are transparent and reproducible and may result in less biased estimates. These rules can also aid future exposure assessments of MWFs in population-based studies.

Indexed as

Industrial OilsAdultCase-Control StudiesDecision Support TechniquesHumansLubricationMaleMetallurgyMiddle AgedNew EnglandOccupational ExposureProbabilitySurveys and QuestionnairesUrinary Bladder Neoplasmsbladder cancercase-control studyexposure prediction modelmetalworking fluidsretrospective exposure assessment

Identifiers

PMID25060071
PMCPMC4112469

What OpenQuestion holds

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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.