Combination Polypharmacy for Cardiovascular Disease Prevention in Men: A Decision Analysis and Cost‐Effectiveness Model
Bibliographic record
Abstract
Pharmacotherapies to lower blood pressure and cholesterol are effective in the primary prevention of cardiovascular disease (CVD). The use of fixed-dose medication combinations has not been well studied. The authors created a Markov model to analyze the cost-effectiveness of 4 fixed-dose medications for primary CVD prevention in men. The initial decision node was to treat or not treat men older than 55 years, without CVD, hypertension, or dyslipidemia with a combination of simvastatin, captopril, hydrochlorothiazide, and atenolol. Probability, costs, and effectiveness were derived from the literature. The outcome variable was marginal cost per quality-adjusted life-year (QALY). Sensitivity analyses were performed. The average cost of treatment was $70,000 compared with $93,000 for non-treatment. Treatment resulted in 13.62 QALYs vs 12.96 QALYs without treatment. Primary prevention of CVD with fixed-dose medications dominated "no-treatment." The use of a fixed-dose polypharmacy approach to CVD prevention in men older than 55 years may be cost-effective.
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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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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".