Evidence map›Paper›PMID 37549095›Full record

ArticleEnvironmental health perspectives2023

The Diesel Exhaust in Miners Study (DEMS) II: Temporal Factors Related to Diesel Exhaust Exposure and Lung Cancer Mortality in the Nested Case-Control Study.

Debra T Silverman, Bryan A Bassig, Jay Lubin, Barry Graubard, Aaron Blair, Roel Vermeulen, Michael Attfield, Nathan Appel, Nathaniel Rothman, Patricia Stewart and 1 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 2023. 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
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Debra T SilvermanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.ORCID 0000-0001-8894-0301
Bryan A BassigOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.
Jay LubinDivision of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.
Barry GraubardDivision of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.
Aaron BlairOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.
Roel VermeulenOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.
Michael AttfieldSurveillance Branch, Division of Respiratory Disease Studies, U.S. National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.
Nathan AppelInformation Management Systems, Inc., Rockville, Maryland, USA.
Nathaniel RothmanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.
Patricia StewartOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.
Stella KoutrosOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Diesel Exhaust in Miners Study (DEMS) was an important contributor to the International Agency for Research on Cancer reclassification of diesel exhaust as a Group I carcinogen and subsequent risk assessment. We extended the DEMS cohort follow-up by 18 y and the nested case-control study to include all newly identified lung cancer deaths and matched controls (DEMS II), nearly doubling the number of lung cancer deaths.

objectiveOur purpose was to characterize the exposure-response relationship with a focus on the effects of timing of exposure and exposure cessation.

methodsWe conducted a case-control study of lung cancer nested in a cohort of 12,315 workers in eight nonmetal mines (376 lung cancer deaths, 718 controls). Controls were selected from workers who were alive when the case died, individually matched on mine, sex, race/ethnicity, and birth year (within 5 y). Based on an extensive historical exposure assessment, we estimated respirable elemental carbon (REC), an index of diesel exposure, for each cohort member. Odds ratios (ORs) were estimated by conditional regression analyses controlling for smoking and other confounders. To evaluate time windows of exposure, we evaluated the joint OR patterns for cumulative REC within each of four preselected exposure time windows,

resultsORs increased with increasing 15-y lagged cumulative exposure, peaking with a tripling of risk for exposures of

conclusionDEMS II findings provide insight into the exposure-response relationship between diesel exhaust and lung cancer mortality. The pronounced effect of exposures occurring in the window 10-19 y prior to death, the sustained risk 20 or more years after exposure ceases, and the plateau/decline in risk among the most heavily exposed provide direction for future research on the mechanism of diesel-induced carcinogenesis in addition to having important implications for the assessment of risk from diesel exhaust by regulatory agencies. https://doi.org/10.1289/EHP11980.

Indexed as

Air Pollutants, OccupationalLung NeoplasmsOccupational ExposureCase-Control StudiesHumansVehicle EmissionsAir Pollutants, OccupationalVehicle Emissions

Identifiers

PMID37549095
PMCPMC10406174

What Socratic holds

Textmetadata
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 Socratic graph.