Evidence map›Paper›PMID 40018128›Full record

ArticleBMJ public health2024

Cancer odds among Ohio firefighters: data from the Ohio Cancer Incidence Surveillance System (OCISS) 1996-2019.

Susan Elizabeth Olivo-Marston, Shashank Singh, Robert Hood, Olorunfemi Adetona

Abstract read
In one paragraph

Article in BMJ public health, 2024. 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

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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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

4 authors.

Susan Elizabeth Olivo-MarstonMedical Microbiology, Immunology and Cell Biology and Simmons Cancer Institute, Southern Illinois University School of Medicine, Springfield, Illinois, USA.ORCID 0000-0001-6619-159X
Shashank SinghWest Virginia School of Osteopathic Medicine, Lewisburg, West Virginia, USA.
Robert HoodEmory University, Atlanta, Georgia, USA.
Olorunfemi AdetonaCollege of Public Health, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-9850-4028

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objective of the current case-control study was to examine the odds of cancer among firefighters in the state of Ohio and compare the odds of being a firefighter versus police or the general population across different cancer types. Methods: Cancer cases were examined from the Ohio Cancer Incidence Surveillance System (OCISS) between 1996 and 2019. Occupation status was classified as firefighter, police or general population. Logistic regression models were run to calculate ORs to determine the odds of being a firefighter compared with police or the general population across different cancer types. Models were adjusted for gender, race, age at cancer diagnosis and year of cancer diagnosis. Results: Among the 906 164 cancer cases, 3397 were firefighters and 3341 were police. Firefighters were more likely to be men, white, non-Hispanic, married and a mean age of 66 at the time of cancer diagnosis. Firefighters had increased odds of cancer of the brain (OR=1.40, 95% CI: 0.99 to 1.99) and thyroid (OR=1.53, 95% CI: 1.05 to 2.23) compared with police and oesophageal (OR=1.83, 95% CI: 1.43 to 2.33), skin (OR=1.23, 95% CI: 1.06 to 1.42), brain (OR=1.37, 95% CI: 1.08 to 1.73) and thyroid (OR=1.52, 95% CI: 1.18 to 1.96) compared with the general population. They had decreased odds of pancreas, lung and bronchus and bladder compared with both police and the general population. Similar patterns were observed among male firefighters. Conclusions: The current study demonstrated increased odds of several different types of cancer among Ohio firefighters compared with other individuals within the OCISS, which may be associated with differences in risk factors, including occupational exposures. The results align with evidence that firefighting is a cancer risk factor. This study is strengthened by the ability to also compare firefighters to police with regards to the odds of cancer. This supports future hypothesis-driven studies examining how specific occupational exposures are associated with increased cancer risk among Ohio firefighters.

Indexed as

epidemiologypopulation surveillancepublic health

Identifiers

PMID40018128
PMCPMC11812796

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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.