Pesticides and Polychlorinated Biphenyls as Potential Risk Factors for Erectile
Bibliographic record
Abstract
ABSTRACT: While it is biologically plausible that environmental chemicals such as pesticides and polychlorinated biphenyls (PCBs) with suspected hormone disrupting properties may have an impact on risk of erectile dysfunction (ED), few epidemiologic studies have assessed this potential association. In a clinic-based case-control study in Kingston, Ontario, consenting subjects completed a questionnaire and donated 15 mL of blood for analysis of organochlorines and lipids by gas chromatography. Exposures were compared for 101 cases with ED and 234 comparable control subjects. For most PCB congeners and organochlorine pesticides, geometric mean levels are similar for cases and controls. Multivar-iate logistic regression results do not show an increased or decreased risk of ED associated with levels of most detectable environmental substances after adjustment for age, total lipids, and confounders. Levels of 2 of the ubiquitous chlorinated pesticides, oxychlordane and trans-nonachlor, which are highly correlated, appear to associate with a reduced risk of ED, but the role of chance cannot be ruled out. To our knowledge, this study is the first to investigate the possible relationship between plasma levels of organochlorines and ED risk, and results do not provide evidence of an association.
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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 | 0.001 | 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) | 0.003 | 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".