Increased Cholesterol Levels During Paroxetine Administration in Healthy Men
Bibliographic record
Abstract
BACKGROUND: Despite the frequent use of selective serotonin reuptake inhibitors in patients with coronary heart disease (CHD), their effects on plasma lipid levels have not been systematically investigated. Our objective was to assess the effects of 8 weeks of paroxetine administration on plasma cholesterol and triglyceride levels. METHOD: Blood samples were collected at baseline, after 8 weeks of paroxetine administration, and post-discontinuation in 18 healthy male volunteers. RESULTS: In the 16 of 18 patients whose plasma levels of paroxetine indicated an unequivocal compliance to treatment, paroxetine administration induced an 11.5% increase in low-density lipoprotein cholesterol (LDL-C), which normalized after paroxetine discontinuation. CONCLUSION: The magnitude of the paroxetine-induced increase in LDL-C would lead to a minor increase in CHD risk in a minority of healthy male volunteers without associated CHD risk factors but might increase LDL-C sufficiently to warrant therapeutic intervention in patients with established CHD, based on the National Cholesterol Education Program guidelines.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".