Evidence map›Paper›PMID 34210793›Full record

ArticleOccupational and environmental medicine2022

End-stage renal disease and metalworking fluid exposure.

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

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Occupational and environmental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

8 authors.

Deepika ShresthaDepartment of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA.
Sally PicciottoDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, USA.
Michael P LaValleyDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Sa LiuDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, USA.
S Katharine HammondDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, USA.
Daniel E WeinerDivision of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts, USA.
Ellen A EisenDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, USA.
Katie M ApplebaumDepartment of Environmental and Occupational Health, Milken Institute School of Public Health, George Washington University, Washington, District of Columbia, USA kapplebaum@gwu.edu.ORCID 0000-0001-5006-8888

Funding

Targeted Research Training CoreT42OH008429 · OH · UNIVERSITY OF CALIFORNIA BERKELEY · PI HARRIS ADAMSON, CARISA · 2005 to 2024
$30.0M
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 OH010180NIOSH CDC HHS T42 OH008429
6 · The paper itself

Abstract

objectiveDespite increasing prevalence of end-stage renal disease (ESRD), little attention has been directed to how occupational exposures may contribute to risk. Our objective was to investigate the relationship between metalworking fluids (MWF) and ESRD in a cohort of 36 703 male autoworkers.

methodsWe accounted for competing risk of death, using the subdistribution hazard approach to estimate subhazard ratios (sHRs) and 95% CIs in models with cubic splines for cumulative exposure to MWF (straight, soluble or synthetic).

resultsBased on 501 ESRD cases and 13 434 deaths, we did not observe an association between MWF and ESRD overall. We observed modest associations between MWF and ESRD classification of glomerulonephritis and diabetic nephropathy. For glomerulonephritis, the 60th percentile of straight MWF was associated with an 18% increased subhazard (sHR=1.18, 95% CI: 0.99 to 1.41). For diabetic nephropathy, the subhazard increased 28% at the 60th percentile of soluble MWF (sHR=1.28, 95% CI: 1.00 to 1.64). Differences by race suggest that black males may have higher disease rates following MWF exposure.

conclusionsExposure to straight and soluble MWF may be related to ESRD classification, though this relationship should be further examined.

Indexed as

Metal WorkersAdultAgedCohort StudiesDiabetic NephropathiesGlomerulonephritisHumansIndustrial OilsKidney Failure, ChronicMaleManufacturing and Industrial FacilitiesMichiganMiddle AgedOccupational DiseasesOccupational ExposureParticulate MatterParticulate Mattercutting fluidskidney diseases

Identifiers

PMID34210793
PMCPMC8678287

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Registered trials

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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.