Evidence map›Paper›PMID 32986371›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2020

Manufacturing Industry Cancer Risk in Japan: A Multicenter Hospital-Based Case Control Study.

Rena Kaneko, Yuzuru Sato, Yasuki Kobayashi

Abstract readMulticenter Study
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Rena KanekoDepartment of Gastroenterology, Kanto Rosai Hospital, 1-1 Kizukisumiyoshi-cho, Nakahara-ku, Kawasaki, Kanagawa, 211-8510 Japan.
Yuzuru SatoDepartment of Gastroenterology, Kanto Rosai Hospital, 1-1 Kizukisumiyoshi-cho, Nakahara-ku, Kawasaki, Kanagawa, 211-8510 Japan.ORCID 0000-0003-3424-3871
Yasuki KobayashiDepartment of Public Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is well known that specific occupations can cause harm in developing malignant neoplasms. Chemical exposure is particularly high in the manufacturing industry and workers in this sector may face a higher occupational risk for cancer. We aimed to estimate inequalities in the risk of cancers related to occupational chemical exposure in various manufacturing categories.

methodsUsing nationwide clinical inpatient data (1984-2017) in Japan, we undertook a multicenter, case-control study with regard to risks of developing cancers among various manufacturing industry categories. Using the food manufacturing industry as the reference group, odds ratios and 95% confidence intervals for each industry were estimated by conditional logistic regression, adjusted for sex, age, admission period, and the admitting hospital. Medical record summaries accounting for 89% of industrial categories with high odds ratios were collected to confirm diagnoses made on the basis of histology. We estimated industrial hazards based on the Pollutant Release and Transfer Register.

resultsA reduced risk for some of common cancers was observed among lumber and wood products industries. Leather tanning, leather products and fur tended to show a higher risk: 2.36 (95% CI 1.15-4.83) for pancreatic cancer, 2.85 (95% CI 1.26-6.47) for liver cancer and 2.00 (95% CI 1.01-3.99) for lung cancer. For the electronics category, observations of high risk ranged from 2.09 (95%CI 1.18-3.70) for ureter cancer, to 2.49 (95% CI 1.79-3.55) for kidney cancer.

conclusionsThis study revealed industry risk inequalities in manufacturing categories were present with regard to the risk of common cancers in Japan.

Indexed as

AgedCase-Control StudiesFemaleFollow-Up StudiesHospitalsHumansJapanMaleManufacturing IndustryMiddle AgedNeoplasmsOccupational ExposurePrognosisRisk FactorsCancer riskCase control studymanufacturing industryoccupational hazard

Identifiers

PMID32986371
PMCPMC7779432

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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.