Enalapril and captopril increased mortality compared with ramipril in elderly patients with heart failureCommentary
Bibliographic record
Abstract
L Pilote Dr L Pilote, McGill University Health Centre, Montreal, Quebec, Canada; louise.pilote@mcgill.ca Does type of angiotensin-converting enzyme (ACE) inhibitor prescribed affect mortality in elderly patients with heart failure? ### Design: retrospective cohort study using government administrative databases, with mean follow-up of 2.1 years. ### Setting: Ontario, Quebec, and British Columbia, Canada. ### Patients: 43 316 patients 65–105 years of age (median age 78 y, 52% women) who were discharged from hospital over a 4.25–year period with a primary diagnosis of heart failure, had not been admitted to hospital for this indication in the previous 3 years, and filled a prescription for an ACE inhibitor within 30 days of discharge. ### Risk factor: type …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".