Assessment of cognitive impairment in patients with chronic viral hepatitis
Bibliographic record
Abstract
Background: Chronic viral hepatitis is a systemic disease characterized by a wide range of extrahepatic manifestations, one of which is cognitive impairment. Aim and Objectives: To assess cognitive impairment in patients with chronic viral hepatitis at various stages of liver fibrosis and assess factors affecting cognitive dysfunction. Material and Methods: Two hundred thirty three patients with chronic viral hepatitis at the Infectious Diseases Hospital of Shymkent City and the Regional Hepatological Center of Shymkent City were enrolled between March 2021 and January 2022. All patients were surveyed on Montreal Cognitive Assessment (MoCA) to confirm the presence of cognitive impairment. Results: Mild cognitive impairment was detected in 12.7% patients with fibrosis stage F0 , at the stage F1 -20.7% of patients, at the stage F2 - 32.5% of patients, at the stage F3 - 36.8% of patients, at the stage F4 -40% of patients. Subsequent multiple regression analysis showed that older age (p < 0.023) and duration of the disease (p < 0.002) were the variables most closely associated with cognitive impairment. Conclusion: The early identification of cognitive impairment in patients with chronic viral hepatitis is necessary due to the high risk of their progression to the stage of severe cognitive deficit.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".