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Record W7096022395

Pesticides and Polychlorinated Biphenyls as Potential Risk Factors for Erectile

2014· article· en· W7096022395 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsPesticideLogistic regressionOrganochlorine pesticideRisk assessmentErectile dysfunctionOccupational exposure
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

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)0.001
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 score0.076
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.020
GPT teacher head0.281
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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