Health-related quality of life in chronic liver disease: the impact of type and severity of disease
Bibliographic record
Abstract
OBJECTIVE: The type and severity of chronic liver disease may have different effects on health-related quality of life (HRQL). The aim of our study was to determine whether HRQL in patients with chronic liver disease differs by type and severity of disease and to identify which clinical and physiological factors affect this impairment. METHODS: In this study, HRQL was measured with a generic (Short Form 36) and a liver disease-specific (Chronic Liver Disease Questionnaire) questionnaire. Clinical, demographic, and laboratory data were collected at office visits. Patient's HRQL scores were compared with the published norms and to the chronically ill populations. A total of 353 patients (mean age 50 yr, 51% men) with chronic liver disease, either viral disease (hepatitis B and C), cholestatic disease (primary biliary cirrhosis or primary sclerosing cholangitis), or hepatocellular disease were enrolled in the study. RESULTS: In general, HRQL in patients with chronic liver disease was lower than the normal population and was similar to that of patients with chronic obstructive pulmonary disease or congestive heart failure. In cirrhotic patients, some dimensions of HRQL were less impaired in patients with cholestatic disease than in those with hepatocellular diseases. More severe disease (higher Child's class) was associated with a lower Chronic Liver Disease Questionnaire score and the Short Form 36's physical component summary scores. Older age had a weak negative association with the physical aspects of HRQL. CONCLUSIONS: We conclude that chronic liver disease substantially reduces HRQL, and this impact does not differ markedly by type of disease. Older age and measures of disease severity were associated with poorer HRQL.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".