Organochlorine Levels in Plasma and Risk of Multiple Myeloma
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to estimate the association between organochlorine pesticides and polychlorinated biphenyls (PCBs) and multiple myeloma (MM). METHODS: The risk of MM from organochlorine compounds was examined in a population-based case-control study in British Columbia, Canada. Congeners of PCBs and pesticides or pesticide metabolites were measured in plasma of 325 cases and 327 controls. RESULTS: Most organochlorine analytes showed a significant association with MM. The strongest association (highest vs lowest quartile) was oxychlordane (odds ratio = 7.44; 95% confidence interval = 4.19 to 13.21). No heterogeneity was detected between organochlorines levels and MM subtypes. Only oxychlordane and β-hexachlorocyclohexane (β-HCCH) were identified as significant independent predictors of MM. CONCLUSION: Our study provides evidence that organochlorines contribute to the risk of MM.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".