Evidence map›Paper›PMID 27484955›Full record

ArticleOccupational and environmental medicine2016

Risk of renal cell carcinoma following exposure to metalworking fluids among autoworkers.

Deepika Shrestha, Sa Liu, S Katharine Hammond, Michael P LaValley, Daniel E Weiner, Ellen A Eisen, Katie M Applebaum

Open access · greenAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Occupational and environmental medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. End-stage renal disease and metalworking fluid exposure.Occupational and environmental medicine · 2022
    Article
  4. Review
  5. Article
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

7 authors at 5 institutions in 1 country.

Deepika ShresthaDepartment of Environmental and Occupational Health, George Washington University, Milken Institute School of Public Health, Washington, DC, USA.
Sa LiuDepartment of Environmental Health Sciences, University of California Berkeley, Berkeley, California, USA.
S Katharine HammondDepartment of Environmental Health Sciences, University of California Berkeley, Berkeley, California, USA.
Michael P LaValleyDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Daniel E WeinerDivision of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA.
Ellen A EisenDepartment of Environmental Health Sciences, University of California Berkeley, Berkeley, California, USA.
Katie M ApplebaumDepartment of Environmental and Occupational Health, George Washington University, Milken Institute School of Public Health, Washington, DC, USA.
University of California, Berkeley · USBoston University · USGeorge Washington University · USMilken Institute · USTufts Medical Center · US

Funding

Renal disease kidney cancer and metalworking fluid exposure in autoworkersR01OH010180 · OH · GEORGE WASHINGTON UNIVERSITY · PI APPLEBAUM, KATIE M. · 2013 to 2016
$1.3M
Healthy Worker Effect, Occupational Exposure to PM and Cardiopulmonary MortalityR01OH010028 · OH · UNIVERSITY OF CALIFORNIA BERKELEY · PI EISEN, ELLEN AURA · 2012 to 2014
$869k
NIOSH CDC HHS R01 OH010028NIOSH CDC HHS R01 OH010180
6 · The paper itself

Abstract

objectivesMetalworking fluids (MWF), used to cool and lubricate metal in occupational settings, are linked to several cancers but data on kidney cancer are limited. We examine how MWF influence the rate of renal cell carcinoma (RCC) in a large prospective study.

methodsA cohort of Michigan autoworkers consisting of 33 421 individuals was followed from 1985 to 2009. The cohort was linked to the Michigan Cancer Registry to identify new cases of RCC. We analysed RCC in relation to cumulative exposure to each specific type of MWF (straight, soluble and synthetic) and all 3 types pooled into a single MWF variable, with a 15-year lag. Cox proportional hazards regression with splines were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs), controlling for age, gender, race, calendar year, year hired, time since hire, plant and other MWF types.

resultsThere were 135 incident cases. A linear increase in the log-HR was observed for RCC with increasing cumulative exposure to each MWF type and total MWF exposure. At the mean of total MWF exposure (18.80 mg/m(3)-year), the estimated HR was 1.11 (95% CI 1.04 to 1.19).

conclusionsOur results provide evidence for a dose-dependent association between MWF exposure and RCC. The influence of components of oil-based and water-based MWF needs further examination.

Indexed as

AdultAgedAutomobilesBlack or African AmericanCarcinoma, Renal CellEnvironmental MonitoringFemaleHumansIncidenceMaleMetallurgyMetalsMichiganMiddle AgedOccupational DiseasesOccupational ExposureMetals

Identifiers

PMID27484955
PMCPMC5045439
OpenAlexW2499481646

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.