Evidence map›Paper›PMID 31039169›Full record

ArticlePloS one2019

Availability and accuracy of occupation in cancer registry data among Florida firefighters.

Laura A McClure, Tulay Koru-Sengul, Monique N Hernandez, Jill A Mackinnon, Natasha Schaefer Solle, Alberto J Caban-Martinez, David J Lee, Erin Kobetz

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The quality of social determinants data in the electronic health record: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
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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

8 authors.

Laura A McClureSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.
Tulay Koru-SengulSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.
Monique N HernandezFlorida Cancer Data System, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.
Jill A MackinnonFlorida Cancer Data System, Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.
Natasha Schaefer SolleSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.
Alberto J Caban-MartinezSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.ORCID 0000-0002-5960-1308
David J LeeSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.ORCID 0000-0001-9686-1507
Erin KobetzSylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, United States of America.

Funding

Miami Clinical and Translational Science InstituteUL1TR002736 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CARRASQUILLO, OLVEEN, KOBETZ, ERIN N · 2018 to 2022
$23.2M
NCATS NIH HHS UL1 TR002736
6 · The paper itself

Abstract

objectivesOccupational exposures significantly contribute to the risk of adverse cancer outcomes, and firefighters face many carcinogenic exposures. Occupational research using cancer registry data, however, is limited by missing and inaccurate occupation-related fields. The objective of this study is to determine the frequency and predictors of missing and inaccurate occupation data for a cohort of career firefighters in a state cancer registry.

methodsWe conducted a linkage between data from the Florida Cancer Data System (1981-2014) and the Florida State Fire Marshal's Office (1972-2012). The percentage and the odds of having a firefighting-related occupation code in the cancer record were calculated, adjusting for other occupation and cancer-related factors.

resultsAmong 3,928 career firefighters, nearly half (47%) were missing a registry-dervived occupation code and only 17% had a firefighting-related code. Males were more likely to have a firefighting-related code (OR = 2.31;95%CI: 1.41-3.76), as were those with more recent diagnoses (OR1992-2002 = 2.98;95%CI: 1.57-5.67; OR2003-2014 = 11.40;95%CI: 6.17-21.03), and those of younger ages (OR45-64y = 1.26;95%CI: 1.03-1.54; OR20-44y = 2.26;95%CI: 1.73-2.95).

conclusionsAccurate occupation data is key for identifying increased risk of advserse cancer outcomes. Cancer registry occupation fields, however, are overwhelmingly missing for firefighters and are missing disproportionally by sociodemographic and diagnosis characteristics. This study highlights the lack of accurate occupation data available for hypothesis-driven cancer research. Cancer registry linkage with external occupational data sources represents an essential resource for conducting studies among at-risk populations such as firefighters.

Indexed as

FirefightersRegistriesAdultAgedFemaleFloridaHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisNeoplasmsOccupational ExposureYoung Adult

Identifiers

PMID31039169
PMCPMC6490882

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LicenceCC BY
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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.