Risk of breast cancer in association with exposure to two different groups of tricyclic antidepressants
Bibliographic record
Abstract
PURPOSE: In 2002, we reported an epidemiological study in which we found that some tricyclic antidepressants (identified as genotoxic in Drosophila Melanogaster) were associated with an increased risk of breast cancer, when exposure took place 11-15 years before the date of diagnosis. The implications of the results found lead us to carry out a separate case-control study, using the same source population, to validate the conclusions drawn from our previous study. METHODS: We accrued 7330 breast cancer cases, diagnosed between 1981 and 2000, and 29 320 controls matched on age and time. RESULTS: The association between exposure to genotoxic TCAs 11-15 years before diagnosis and the risk of breast cancer development was much weaker, as compared to what was reported in our previous study. The relative risk of breast cancer in women exposed to high doses of genotoxic TCAs 11-15 years before diagnosis was 1.17 (95%CI: 0.79-1.74), while in women exposed to high levels of non-genotoxic TCAs during the same period it was 0.95 (95%CI: 0.61-1.48). CONCLUSION: In conclusion, we did not find supporting evidence for an increased risk of breast cancer among women exposed to TCAs up to 20 years in the past.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".