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Record W4324137718 · doi:10.1136/oem-2023-epicoh.190

O-41 Firefighting and cancer: a meta-analysis of cohort studies in the context of cancer hazard identification

2023· article· en· W4324137718 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAbstracts · 2023
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsOccupational Cancer Research Centre
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoMonash UniversityUniversity of MelbourneUniversity of SydneyAmerican Cancer Society
KeywordsMedicineThyroid cancerCancerHazard ratioProstate cancerOncologyInternal medicineContext (archaeology)PopulationColorectal cancerMeta-analysisConfidence intervalCohortEnvironmental healthBiology

Abstract

fetched live from OpenAlex

<h3>Objective</h3> We performed a meta-analysis of epidemiological results for the association between occupational exposure as a firefighter and the occurrence of cancer as part of the broader evidence synthesis work of the IARC Monographs Programme. <h3>Methods</h3> A systematic literature search was conducted to identify cohort studies of firefighters followed for cancer incidence and mortality. Studies were rated for the influence of key biases on results. Random-effects meta-analysis models were used to estimate the association between ever and duration of employment as a firefighter and risk of 12 selected cancers. The influence of potential biases was explored in sensitivity analyses, including those related to the use of general, uniformed service, and working population comparison groups. <h3>Result</h3> Among the 16 cancer incidence studies that met inclusion criteria for one or more cancer sites, the estimated meta-rate ratio, 95% confidence interval (CI), and heterogeneity statistic (I2) for ever-employment as a predominantly male career firefighter compared mostly to general populations was 1.58 (1.14–2.20, 8%) for mesothelioma, 1.16 (1.08–1.26, 0%) for bladder cancer, 1.21 (1.12–1.32, 81%) for prostate cancer, 1.37 (1.03–1.82, 56%) for testicular cancer, 1.19 (1.07–1.32, 37%) for colon cancer, 1.36 (1.15–1.62, 83%) for melanoma, 1.12 (1.01–1.25, 0%) for non-Hodgkin lymphoma,1.28 (1.02–1.61, 40%) for thyroid cancer, and 1.09 (0.92–1.29, 55%) for kidney cancer. Ever-employment as a firefighter was not positively associated with lung, nervous system, or stomach cancer. Few cancer sites showed increasing risks by employment duration. Results for mesothelioma and bladder cancer exhibited low heterogeneity and were largely robust across sensitivity analyses evaluating bias. <h3>Conclusions</h3> There is epidemiological evidence to support a causal role for occupational exposure as a firefighter and certain cancers, especially mesothelioma and bladder cancer. Challenges persist in the body of evidence related to the consistency and quality of exposure assessment and control of confounding and medical surveillance bias.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.363
GPT teacher head0.553
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it