Evidence map›Paper›PMID 30623081›Full record

ArticleHealth science reports2018

Occupational class and risk of renal cell cancer.

Masayoshi Zaitsu, Adolfo G Cuevas, Claudia Trudel-Fitzgerald, Takumi Takeuchi, Yasuki Kobayashi, Ichiro Kawachi

Abstract read
In one paragraph

Article in Health science reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 citing papers in PubMed.

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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

6 authors.

Masayoshi ZaitsuDepartment of Social and Behavioral Sciences Harvard T.H. Chan School of Public Health Boston Massachusetts USA.ORCID 0000-0001-7616-355X
Adolfo G CuevasDepartment of Community Health Tufts University Medford Massachusetts USA.
Claudia Trudel-FitzgeraldDepartment of Social and Behavioral Sciences Harvard T.H. Chan School of Public Health Boston Massachusetts USA.
Takumi TakeuchiDepartment of Urology Kanto Rosai Hospital Kawasaki Kanagawa Japan.
Yasuki KobayashiDepartment of Public Health, Graduate School of Medicine The University of Tokyo Tokyo Japan.
Ichiro KawachiDepartment of Social and Behavioral Sciences Harvard T.H. Chan School of Public Health Boston Massachusetts USA.

Funding

Harvard Education Program in Cancer Prevention Control (R25T)R25CA057711 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DAVISON, KIRSTEN · 1992 to 2018
$8.5M
NCI NIH HHS R25 CA057711
6 · The paper itself

Abstract

objectivesWe sought to examine the association between occupational class linked to job stress and the risk of renal cell cancer. To identify potential mediators, we additionally examined whether any observed associations persisted even after controlling for the contribution of stress-related factors (eg, smoking, hypertension, and obesity).

methodsUsing nationwide inpatient records (1984 to 2016) from the Rosai Hospital group in Japan, we identified 3316 cases of renal cell cancer (excluding upper tract urothelial cancer) and 168 418 controls. We classified patients' occupational class (blue-collar workers, service workers, professionals, and managers) and cross-classified it by industry type (blue-collar, service, and white-collar) based on a standardized national classification. Unconditional logistic regression with multiple imputation was used for the analyses.

resultsA significantly elevated risk of renal cell cancer was found among men in higher occupational class (eg, professionals and managers). The elevated odds in male managers across all industries persisted even after controlling for smoking and alcohol consumption, with the association being more pronounced in blue-collar industries (OR, 1.61; 95% CI, 1.34-1.93). The association appeared to be mainly mediated by hypertension.

conclusionOccupational class is associated with the risk of renal cell cancer in men, particularly through modifiable risk factors.

Indexed as

hypertensionjob stressoccupational classrenal cell cancersmoking

Identifiers

PMID30623081
PMCPMC6266576

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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.