Niacin: From Mechanisms of Action to Therapeutic Uses
Bibliographic record
Abstract
Niacin has broad spectrum lipid modifying and anti-atherosclerotic properties. It is the most effective medication available for raising raise high density lipoprotein (HDL) levels. Despite statin therapy there remains a considerable residual cardiovascular risk attributed to low HDL levels. Currently, statins decrease cardiovascular events and death by about 25-40%. Trials with surrogate endpoints have shown a decrease in endpoints by 60-90% when a combination of statin and niacin has been used. There is a growing interest in niacin in combination therapy to fill the treatment gap by modifying lipid parameters other than low density lipoprotein cholesterol. This review addresses the role of niacin in comprehensive lipid management with an emphasis on its mechanism of action, formulations, side effects, evidence from clinical trials and also focuses on practical issues related to niacin therapy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".