Abstract 3777: Diesel motor exhaust and lung cancer risk in a pooled analysis from case-control studies in Europe and Canada
Bibliographic record
Abstract
Abstract Introduction: Diesel-motor exhaust (DME) is classified by IARC as probably carcinogenic to humans. The epidemiological evidence is evaluated as limited since many studies lack adequate information on tobacco smoking and only few studies reported on exposure-response relationships. Our objective is to investigate the risk of lung cancer following occupational exposure to DME, while controlling for smoking and potential occupational confounders. Methods: The SYNERGY project pooled information on lifetime work histories and tobacco smoking from more than 13300 cases and 16300 controls from case-control studies conducted in 12 European countries and Canada. A job exposure matrix based on ISCO codes, assigning no (0), low (1) or high (2) exposure to DME was applied to determine level of exposure to DME. Cumulative exposure was defined as: ∑(level2 * duration). Odds ratios (OR) of lung cancer and 95% confidence intervals (CI) were estimated by unconditional logistic regression, adjusted for age, sex, study, pack-years and time since quitting smoking, and ever employment in a “Group A” job, i.e. occupations with established lung cancer risk. Results: Workers exposed to low levels of occupational DME exposure had an increased risk of lung cancer after 40 years of exposure OR 1.31 (95% CI 1.14-1.51), while workers exposed to high DME levels experienced a similar risk already after short duration (<10 years) OR 1.29, 95% CI 1.15-1.46. Cumulative DME exposure showed a significant exposure-response trend (p-value <0.000) with an OR of 1.31 (95% CI 1.20-1.44) in the highest quartile. These results were similar in workers never employed in “Group A“ jobs, lending support to the assumption that confounding due to other occupational exposures was not responsible for the observed risk. Analyses in sub-populations of women and never-smokers also indicated an increased risk of lung cancer following occupational DME exposure. Conclusion: Our results indicate that occupational exposure to DME is associated with an increased risk of lung cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3777.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.009 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".