Non-alcoholic fatty liver disease and cognitive impairment
Bibliographic record
Abstract
Aim. To evaluate the efficacy of oral administration of the original ademetionine (Geptral) at a dose of 1500 mg/s in patients with NAFLD at the steatosis stage and cognitive impairment within the framework of a prospective observational open non-comparative study in real clinical practice against the background of achieved lifestyle modification. Materials and methods. Thirty patients with NAFLD and cognitive impairment were examined using routine methods examination. NAFLD was diagnosed in accordance with the clinical guidelines of the Ministry of Health of the Russian Federation. All patients met the criteria for MAFLD. Cognitive functions were assessed using the Montreal Cognitive Assessment Scale. After selection, patients were recommended dietary and physical activity modification in combination with oral administration of the original ademetionine at a dose of 1500 mg/day. The duration of the study was 6 months. Results. Oral administration of the original ademetionine for 6 months against the background of lifestyle modification improved cognitive functions with an increase in the Montreal Cognitive Assessment Scale score from 19.1 (16.3–20.1) to 27.6 (25.1–29.0; p=0.001). In addition, the study found a decrease in the severity of steatosis according to the FLI index and quantitative ultrasound. Additionally, a decrease in the Fatigue Assessment Scale (FAS) scores from 34 [25–39] to 19 [16–27]; p=0.000002, and 10-year fatal and non-fatal cardiovascular risk according to the SCORE2 scale from 34 [15–44] to 9 [7–13]; p=0.000002, was revealed. Conclusion. The original ademetionine as a multitarget drug for NAFLD may be useful in terms of improving cognitive functions, increasing adherence to lifestyle modification, and improving its quality and duration.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".