Prophylactic pharmacotherapy for cholesterol reduction in the Canadian military: Potential for improved health and cost-effective health care.
Bibliographic record
Abstract
Introduction. Statins may be under-prescribed in clinical settings. This study was undertaken to determine if the same is true in the military. The cost-effectiveness of statin therapy in patients identified by current Canadian cholesterol guidelines was also explored. Methods. Charts of 1424 Canadian military personnel (age ≥ 45) were reviewed at eleven Canadian bases. Risk factors and cholesterol values were used to identify drug therapy candidates and patients not being treated to target values. Cost-effectiveness ratios were estimated based on a systematic review of the literature. Results. 53/111 patients on therapy were not being treated to target cholesterol levels, while 172/1313 not on therapy were drug therapy candidates. An average of 2.89 years of life saved (YOLS) in drug therapy candidates was forecasted, costing less than $10,000/YOLS. Conclusion. The health benefits of statin therapy in this population are substantial and the cost-effectiveness is acceptable. Statin therapy warrants greater attention as a preventive strategy.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".