Statin associated muscle symptoms (SAMS): strategies for prevention, assessment and management
Bibliographic record
Abstract
INTRODUCTION: Statins are the cornerstone for atherosclerotic cardiovascular disease risk reduction with recognized efficacy in primary and secondary prevention. Despite this, they remain underutilized due to concerns regarding adverse effects. Statin-associated muscle symptoms (SAMS) are the most frequent cause of medication intolerance and discontinuation with a prevalence estimated at 10%, regardless of causality, with the consequence of increased risk of adverse cardiovascular outcomes. AREAS COVERED: This clinical perspective reviews recent developments in mechanisms underlying the pathogenesis of statin myopathy, the role of the nocebo effect in perception of statin intolerance, and explores diverse components endorsed by international societies in establishing a statin intolerance syndrome. Non-statin drug alternatives that reduce low-density lipoprotein-cholesterol are also discussed, with emphasis on therapies with established effects on cardiovascular outcomes. EXPERT OPINION: Ultimately, a patient-centered clinical approach to managing SAMS is proposed to optimize statin tolerability, achieve guideline-recommended therapeutic goals and improve cardiovascular outcomes.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.009 |
| Bibliometrics | 0.000 | 0.001 |
| 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".