Comparative Effectiveness of Ezetimibe in Improving Lipid Profile in Non-Alcoholic Fatty Liver Disease Patients: Statins Still Rule
Bibliographic record
Abstract
Introduction: Dyslipidemias are well-documented disorders in nonalcoholic fatty liver disease (NAFLD) patients; and have been implicated as an etiology and prognosis factor for the disease, as well. In the current study, we aimed to evaluate the impact of various antihyperlipidemic regimens on the serum cholesterol levels. Method and material: A longitudinally study was conducted and 98 NAFLD patients were consecutively entered into analysis. Five types of antihyperlipidemic regimens were used: Ezetimibe alone (10mg/day; 3 patients); Ezetimibe (10mg/day) plus gemfibrozil (600mg/day) (28 patients); Gemfibrozil alone (600mg/day; 26 patients); Atorvastatin (20mg/day; 15 patients); and Simvastatin (20mg/day; 26 patients). Results: patients were followed for 138±83 days after drugs administered. Serum total cholesterol levels experiences highest fall by atorvastatin therapy (p=0.006). Serum LDL levels also decreased most significantly through antihyperlipidemic therapy with atorvastatin or simvastatin (p<0.001). There was no difference between the study drug regimens modifying serum HDL, triglyceride, AST and ALT levels (p>0.1 for all). Conclusion: Ezetimibe therapy alone cannot improve hyperlipidemias in NAFLD patients, while statins, especially atorvastatin is highly potent for this purpose; and is recommended for hyperlipidemic NAFLD patients. For NAFLD patients who have unfavorable reactions to statins and are subjected to use ezetimibe, we recommend its co-administration with gemfibrozil. Future studies with randomized and blind approaches are needed.
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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 | 0.000 | 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".