Cost-effectiveness of Maintaining Daily Intake of Oat β-Glucan for Coronary Heart Disease Primary Prevention
Bibliographic record
Abstract
PURPOSE: Oat β-glucan reduces cholesterol levels and thus reduces the risk for coronary heart disease (CHD). However, its economic impact has not been well studied. We examined the economic impact of daily intake of ≥3 g of oat β-glucan in primary prevention of CHD in patients receiving statins or no pharmacologic treatment. METHODS: A decision model was developed to compare costs and outcomes associated with lowering cholesterol levels with no pharmacologic treatment and normal diet, no pharmacologic treatment plus ≥3 g/d of oat β-glucan, and statin therapy plus ≥3 g/d of oat β-glucan. The population comprised men 45, 55, or 65 years of age with no history of cardiovascular disease and a 10-year risk for CHD of 5%, 7.5%, or 10%. Clinical efficacy data were gathered from meta-analyses; safety data, costs, and utilities were gathered from published literature. Cost per quality-adjusted life years and number of first events were reported. FINDINGS: Maintaining ≥3 g/d of β-glucan may be cost-effective in men aged 45, 55, and 65 years with 10-year CHD risks of 5.0%, 7.5%, and 10.0% taking no pharmacologic treatment or on statins. It may also reduce first events of myocardial infarction and CHD death. Results are sensitive to oat β-glucan cost but insensitive to changes in other parameters. Maintaining ≥3 g of oat β-glucan daily remains cost-effective within plausible range of values. IMPLICATIONS: β-glucan may be cost-effective for preventing CHD events in middle-aged men with no history of cardiovascular events whose 10-year CHD risk is ≥5%. Maintaining daily β-glucan intake may have considerable impact on first events.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".