Primary prevention with pravastatin for 5 years continued to prevent coronary events in the next 10 yearsCommentary
Bibliographic record
Abstract
I Ford Dr I Ford, University of Glasgow, Glasgow, UK; ian@stats.gla.ac.uk In middle-aged men with hypercholesterolaemia and no history of myocardial infarction (MI), does 5 years of treatment with pravastatin have long-term benefits for prevention of coronary heart disease (CHD)? ### Design: post-trial follow-up of a randomised, placebo-controlled trial (West of Scotland Coronary Prevention Study [WOSCOPS]). ### Allocation: unclear allocation concealment. ### Blinding: blinded during the trial period {clinicians, patients, data collectors, and outcome adjudication committees}.* ### Follow-up period: original trial follow-up was 5 years; this study followed up surviving patients (96%) for 10 more years. ### Setting: {coronary screening clinics in the UK}.* ### Patients: 6595 men {45–64 years of age}* (mean age 55 y) with no history of MI and low-density lipoprotein cholesterol concentrations ⩾155 mg/dl (4.01 mmol/l) on 2 occasions. ### Intervention: pravastatin, 40 mg …
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".