Cholestatic Liver Diseases and Health-Related Quality of Life
Bibliographic record
Abstract
OBJECTIVE: Symptoms associated with primary biliary cirrhosis (PBC) and primary sclerosing cholangitis (PSC) negatively affect health-related quality of life (HRQL). The aim of this study was to measure HRQL in patients with chronic cholestatic liver diseases and to determine factors associated with more severe impairment. METHODS: We conducted a cross-sectional study in which we documented patients' demographic and clinical characteristics, and measured their HRQL using the Short Form-36 and Chronic Liver Disease Questionnaire. We assessed the association of HRQL impairment with disease severity (Child's-Pugh class and Mayo PBC Risk Score) and compared patients' HRQL with those of a healthy population, and patients with congestive heart failure, chronic obstructive pulmonary disease, and diabetes. RESULTS: One hundred and four patients with PBC and PSC participated, of whom 73% were women, with an average age of 55+/-12 yr. Of these patients, 61% had cirrhosis (37% Child's A, 23% Child's B, and 2% Child's C). Patients with cholestatic liver disease showed more HRQL impairment than the healthy population and were similar to patients with other chronic conditions. Additionally, patients who experienced severe itching showed profound HRQL impairment. In patients with PBC, Physical Component Summary (PCS) scores of the SF-36 and Chronic Liver Disease Questionnaire (CLDQ) scores fell from noncirrhotic to Child's A to Child's B/C and with worsening Mayo PBC Risk Scores. No other clinicodemographic data were associated with patients' well-being. CONCLUSIONS: Patients with cholestatic liver disease (PBC and PSC) showed substantial impairment of HRQL, which is further affected by worsening disease severity. Disease-specific measures were better able to discriminate patients with varying severities.
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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".