Evidence map›Paper›PMID 40036895›Full record

ArticleAmerican journal of epidemiology2026

Occupational exposures and kidney cancer among 25 000 male offshore petroleum industry workers: relative risks and healthy worker survivor bias.

Nita K Shala, Marit B Veierød, Ronnie Babigumira, Leon A M Berge, Sven O Samuelsen, Jorunn Kirkeleit, Magne Bråtveit, Melissa C Friesen, Alexander P Keil, Debra T Silverman and 4 more

Abstract read
In one paragraph

Article in American journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Nita K ShalaDepartment of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0001-6582-9387
Marit B VeierødOslo Centre for Biostatistics and Epidemiology, Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0002-2083-2758
Ronnie BabigumiraDepartment of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-1266-4061
Leon A M BergeDepartment of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-1645-5582
Sven O SamuelsenDepartment of Mathematics, University of Oslo, Oslo, Norway.
Jorunn KirkeleitDepartment of Occupational Medicine and Epidemiology, National Institute of Occupational Health, Oslo, Norway.
Magne BråtveitDepartment of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.ORCID 0000-0003-0761-0728
Melissa C FriesenDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0002-1695-3282
Alexander P KeilDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0002-0955-6107
Debra T SilvermanDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, United States.ORCID 0000-0001-8894-0301
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, United States.
Lan QingDivision of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, United States.
Jo S StenehjemDepartment of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0002-1964-5410
Tom K GrimsrudDepartment of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0003-0425-043X

Funding

Research Council of Norway 280537
6 · The paper itself

Abstract

Kidney cancer has been a suspected occupational disease in petroleum workers. Health conditions that are linked to kidney cancer may prompt termination or change of work and thereby restrict occupational exposures in high-risk individuals, creating a healthy worker survivor bias (HWSB). We examined associations between occupational exposures and kidney cancer among males in the Norwegian offshore petroleum workers cohort using a case-cohort design, with 169 incident cancers identified by linkage to national registry data (1999-2021) and a subcohort of 2090 noncases, all employed between 1965 and 1998. Relative risks (hazard ratios [HRs]) by cumulative exposure to benzene, crude oil, chlorinated degreasing agents (CDA), asbestos, welding fumes, or surface treatment (priming, painting) were estimated by weighted Cox regression. Inverse exposure-response trends suggested HWSB, reinforced by analyses of necessary components of HWSB. Bias was partly alleviated by adjustment for total employment duration and by 20-year lagging of cumulative exposure to benzene, crude oil, or CDA. Workers in surface treatment (ever vs never) showed increased HR = 2.22, 95% confidence interval [CI], 1.04-4.72 (9 cases, only). For asbestos and welding fumes, the initial inverse trends largely remained after adjustment. In sum, we could neither confirm nor exclude an occupational impact on kidney cancer.

Indexed as

Kidney NeoplasmsOccupational DiseasesOccupational ExposureOil and Gas IndustryPetroleumAdultAgedAsbestosHealthy Worker EffectHumansMaleMiddle AgedNorwayRegistriesRisk FactorsAsbestosPetroleumhealthy worker survivor biashydrocarbon exposurekidney cancerpetroleum industrytime-varying confounding

Identifiers

PMID40036895
PMCPMC12780764

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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.