Pergolide Associated Cardiac Valvulopathy Based on Ontario Administrative Data
Bibliographic record
Abstract
INTRODUCTION: Pergolide is an ergot derived dopamine agonist that is widely used for the treatment of Parkinson's disease. Studies have found an association between pergolide and valvular heart abnormalities although there is still much to be learned about the clinical significance of the valvular changes, who is at risk, and whether there is duration of exposure effect. OBJECTIVE: To assess the long term risk of hospital admissions for valvular heart disease (VHD) or congestive heart failure (CHF, a clinically overt outcome of VHD) in new users of pergolide compared to new users of levodopa. The secondary objective was to assess whether there are any characteristics that can predict who is at higher risk of developing this outcome. DESIGN: Retrospective, population-based cohort study. SETTING: Ontario, Canada. SUBJECTS: Ontario residents aged 66 and older, newly started on treatment with either pergolide or levodopa. OUTCOMES: Admission to hospital with the most responsible diagnosis of congestive heart failure or valvular heart disease. RESULTS: The risk for admission for valvular heart disease or congestive heart failure were higher in those with 1-4 years exposure to pergolide compared with no exposure to pergolide (VHD: hazard ratio 2.4, p = 0.04; CHF: hazard ratio 1.6, p = 0.02). No such pattern was found with exposure to levodopa. CONCLUSION: Our study demonstrates that treatment with pergolide is associated with a higher risk of hospital admission for valvular heart disease or congestive heart failure and that this risk is greater in those with 1-4 years exposure than in those with less exposure. We did not find an increased risk beyond four years.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".