Relationship between behavioral disorders and quality of life in patients with liver cirrhosis.
Bibliographic record
Abstract
Background : Chronic liver disease comprises a wide range of diseases characterized by inflammation of the liver and progression of cirrhosis. This study aims to assess the relationship between behavioral disorders and quality of life in patients with liver cirrhosis. Materials and Methods : The available sampling method was used to divide participants into two groups of 100 patients and 100 healthy individuals, matched for age, sex and education. Patients with cirrhosis were recruited from a subspecialty clinic in Imam Reza (AS) Hospital in Mashhad. The control group consisted of healthy participants. Participants completed the Beck Depression Inventory, State Anxiety Inventory-Trait Spielberger, Toronto Alexithymia Questionnaire and SF-36 Quality of Life Questionnaire. Research data were analyzed by Pearson correlation and multiple regression analyses . Results : There was no significant difference between the two groups in terms of demographic variables. However significant differences existed between the variables of anxiety, depression and alexithymia. The patient group had higher depression levels compared to healthy controls. Multiple regression analysis showed behavioral disorders, 30% of the variance in quality of life in patients with liver cirrhosis explain. Conclusion : These findings suggest that behavioral disorders are associated with quality of life in patients with liver cirrhosis. These results also have important implications in the field of psychopathology, prevention, and treatment of patients with cirrhosis of the liver. Normal 0 false false false EN-US X-NONE FA
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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".