Comparing the safety, tolerability and quality of life in patients with chronic hepatitis B vs chronic hepatitis C treated with peginterferon alpha‐2a
Bibliographic record
Abstract
BACKGROUND/AIMS: Hepatitis B and C viruses (HBV and HCV) are two clinically distinct but related diseases. Pooled data from five studies of peginterferon alpha-2a in patients with chronic HCV infection (CHC) were compared with two studies of the drug in patients with chronic HBV infection (CHB). METHOD: The HBV studies included both hepatitis B e antigen (HBeAg)-positive (n=271) and HBeAg-negative (n=177) patients; 791 patients took part in the HCV trials. In all studies, patients were treated with 180 microg peginterferon alpha-2a monotherapy once weekly for 48 weeks. The number of adverse events (AEs), discontinuations and dose modifications were documented. Health-related quality of life (HRQL) was assessed using the Short-Form 36 questionnaire. Safety was assessed throughout the treatment period. A 24-week treatment-free follow-up period was also included. RESULTS: Differences (HBV vs HCV) were observed in the incidence of AEs (88-89 vs 96-100%), serious AEs (4-5 vs 7-16%) and treatment withdrawals (6-8 vs 17-33%). The frequency of depression-related events was lower in CHB patients (4 vs 22%, P<0.001), as was the impact of treatment on HRQL. CONCLUSIONS: The safety and tolerability of peginterferon alpha-2a in patients with CHB compares favourably with that observed in CHC patients, with a lower incidence of common interferon-related AEs and a significantly lower incidence of depression.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".