Benefits of the Therapy With Abexol in Patients With Non-Alcoholic Fatty Liver Disease
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Bibliographic record
Abstract
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) encompasses a spectrum of diseases ranging from steatosis to steatohepatitis and cirrhosis. Given the increasing incidence of NAFLD and the long-term consequences of this disease, it is important to identify the risk factors and therapeutic measures. Abexol is a mixture of beeswax alcohols with antioxidant, gastro-protective and anti-inflammatory effects. The aim was to conduct a pooled analysis of clinical trials data of the effects of Abexol treatment in patients with NAFLD. METHODS: The present analysis includes the data of all patients with NAFLD obtained from medium-term randomized, double-blinded, placebo controlled clinical studies with Abexol. One hundred patients with NAFLD received Abexol (100 mg/day) or placebo for 6 months. Significant changes in the ultrasound analysis of the liver were considered a primary efficacy variable. Secondary endpoints were decreased homeostasis model assessment (HOMA) index and insulin levels, and improved clinical symptoms. Statistical analysis of all data was according to the intention-to-treat method. RESULTS: Both groups were statistically homogeneous at baseline conditions. At 6 months of treatment, the number of Abexol-treated patients exhibiting a normal liver echo pattern on ultrasonography was greater than that of the placebo patients (P < 0.05). Abexol significantly reduced (P < 0.05) insulin levels and HOMA index. The proportion of Abexol patients showing symptom improvement was higher (P < 0.01) than that of the placebo group. Treatments were safe and well tolerated. CONCLUSIONS: Treatment of Abexol during 6 months significantly ameliorates liver fat accumulation and insulin resistances, meanwhile improving clinical evolution in patients with NAFLD. The treatment was safe and well tolerated in these patients.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it