Role of Liv.52 in Non-Infectious Chronic Liver Disease
Bibliographic record
Abstract
BACKGROUND: Chronic liver diseases (CLDs) are a group of illnesses characterized by hepatic insufficiency associated with abnormal liver function tests (LFTs). Although plethora traditional pharmacological drugs are available, they have many limitations either in their efficiency or adverse effects. AIMS: To investigate the effectiveness and safety of herbal Liv.52 supplement in the treatment of chronic liver disease. PATIENTS AND METHODS: An interventional randomized blind clinical trial was conducted on a total of 200 patients with chronic liver disease. Patients were randomly divided into two equal groups. Group A, 100 patients who received Liv.52 supplement alongside their usual therapy regime. Group B, 100 patients with no Liv.52 supplement and restricted for their usual therapy regime. Patients were followed up for 6 months for clinical assessment, with laboratory investigations to assess routine blood chemistry and liver function tests were done after 1, 2 and 6 months of therapy. RESULTS: After 6 months of treatment, the mean alanine transaminase (ALT) in treated group was 56.54±24.32 U/L which was significantly lower than that of controls (70.39±27.74 U/L). On the other hand, the mean serum albumin after six months’ treatment was 3.54±0.52 g/dL in treated group compared with 2.96±0.36 g/dL in controls with highly significant difference. After two month’s treatment, the mean total leukocyte (WBC) count in treated group was 7.37±1.49 × 10 /ml which was significantly lower than that of controls (8.11±1.38 ×103/ml). In contrast, hemoglobin (Hb) was significantly higher in treated group than controls at one, two- and six-months’ post treatment with significant differences. CONCLUSIONS: Liv.52 has a hepato-protective effect in patients with chronic non-infectious hepatitis as well as having extrahepatic effects through reducing total leukocyte count and increasing the hemoglobin. There was no evidence of short-term adverse effect of Liv.52.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.003 | 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 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".