Lipids in Health and Disease
Bibliographic record
Abstract
Background: This trial compares the efficacy of administering a combination of ezetimibe plus fenofibrate as an alternative to statin monotherapy for the treatment of dyslipidemia. In this randomized, unblinded crossover study, 43 patients with documented hypercholesterolemia requiring pharmacotherapy were randomized to receive six weeks of either a combination of 10 mg of ezetimibe plus 160 mg of fenofibrate (combination) or 10 mg of atorvastatin monotherapy (atorvastatin). The primary endpoint was the percentage reduction of low-density lipoprotein cholesterol (LDL-C). Results: LDL-C decreased by 34.6% with the combination therapy versus 36.7% with atorvastatin monotherapy. The difference between the two groups was not statistically significant (p = 0.46). Both study interventions provided similar improvements in total cholesterol (-25.1% with combination versus -24.6% with atorvastatin, p = 0.806) and high-density lipoproteins (+10.0% with combination versus +8.9% with atorvastatin, p = 0.778). Combination therapy showed a trend towards a greater reduction in triglycerides (-25.4% with combination versus -14.5% with atorvastatin, p = 0.079), although there was no significant difference between the two study interventions in terms of the improvement in the TC:HDL ratio (-29.0% with combination versus -28.7% with atorvastatin, p = 0.904). Conclusions: The combination of ezetimibe plus fenofibrate appeared to produce nearly identical alterations in serum lipoprotein levels when compared to monotherapy with 10 mg of atorvastatin. Daily treatment with the combination of ezetimibe plus fenofibrate is an acceptable alternative to atorvastatin for the treatment of dyslipidemia in patients who are intolerant of statins. Background 3-hydroxy-3-methylgluatryl-coenzyme A reductase inhibitors (statins) are the most potent and frequently used drugs for the treatment of hypercholesterolemia. Statin therapy has been shown to reduce the rate of major vascular events in patients with established vascular disease [1], Published: 17 December 2009 Lipids in Health and Disease 2009, 8:56 doi:10.1186/1476-511X-8-56 Received: 6 November 2009 Accepted: 17 December 2009 This article is available from: http://www.lipidworld.com/content/8/1/56 © 2009 Kumar et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.005 |
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".