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Record W4324137829 · doi:10.1136/oem-2023-epicoh.38

O-182 The association between the incidence of postmenopausal breast cancer and occupational exposure to selected organic solvents in Montréal

2023· article· en· W4324137829 on OpenAlex
Sydney Westra, Mark S. Goldberg, France Labrèche, Jill Baumgartner, Vikki Ho

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAbstracts · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalMcGill University Health CentreInstitut de recherche Robert-Sauvé en santé et en sécurité du travailMcGill University
Fundersnot available
KeywordsBreast cancerOdds ratioMedicineConfidence intervalIncidence (geometry)Logistic regressionSolvent exposureOrganic solventOccupational exposurePopulationCancerInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

<h3>Introduction</h3> Breast cancer is the most diagnosed cancer among women and accepted risk factors only explain 25% to 47% of cases. Organic solvents are used widely in the workplace. According to a hypothesis postulated in the 1990s, exposure to organic solvents may increase the risk of developing breast cancer, yet there is insufficient data to confirm this hypothesis. We sought to determine whether past occupational exposures to organic solvents reported to exert mammary toxicity were associated with the incidence of invasive breast cancer in postmenopausal women in Montréal. <h3>Materials and Methods</h3> From a population-based case-control study (2008 to 2011), using in-depth interviews, we elicited information on risk factors and lifetime occupational histories. A team of industrial hygienists and chemists translated each detailed job description into specific chemical and physical exposures. We selected six individual solvents and four solvent groups. Unconditional logistic regression was used to estimate adjusted odds ratios (OR) and 95% confidence intervals (CI) between indices of past exposures to the selected solvents and the risk of developing postmenopausal breast cancer. Indices of exposure included any previous exposure, frequency in hours per week, duration in years, and average cumulative concentration with concentration on a scale of 1 (‘low’), 2 (‘medium’), 3 (‘high’) weighted by hours per week exposed. <h3>Results</h3> We enrolled 695 cases and 608 controls. We found increased ORs for average cumulative concentration of exposure to monoaromatic hydrocarbons (OR:1.52, 95%CI: 1.04, 2.28), chlorinated alkanes (OR: 2.42, 95%CI: 1.23, 5.68), toluene (OR: 1.59, 95%CI: 1.02, 2.59), and the group of organic solvents with reactive metabolites (OR: 1.53, 95%CI: 1.08, 2.24). Positive associations were found across all metrics of exposure and were higher among women who had estrogen positive/progesterone negative tumours. <h3>Conclusion</h3> Our findings suggest that occupational exposure to certain organic solvents may increase the risk of incident postmenopausal breast cancer.

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)0.000
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 score0.439
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.009
GPT teacher head0.261
Teacher spread0.252 · 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