Pegylated Interferon Monotherapy for Chronic Hepatitis C
Bibliographic record
Abstract
Interferon (IFN) alpha-2a has been attached to a branched 40-kD PEG molecule and IFN alpha-2b to a linear 12-kD PEG molecule leading to elimination half-lives of approximately 75 and approximately 30 hours, respectively. In one pivotal trial, 531 patients with chronic hepatitis C were assigned to receive either 180 microg of pegylated IFN alpha-2a once weekly for 48 weeks or 3 x 6 mIU standard IFN for 12 weeks, followed by 3 x 3 mIU for 36 weeks. Sustained virological response rates were 39 and 19% for pegylated and standard IFN alpha-2a, respectively. In a second trial in patients with hepatitis C virus (HCV)-associated cirrhosis and bridging fibrosis, sustained virological response rates were 8% (3 x 3 mIU IFN three times a week), 15% (90 microg PEG-IFN alpha-2a four times a week), and 30% (180 microg PEG-IFNalpha-2a four times a week). In a third trial, 1219 patients with chronic hepatitis C were randomly assigned to receive either standard IFN alpha-2b (3 x 3 mIU) or once weekly pegylated IFN alpha-2b (0.5, 1.0, or 1.5 microg/kg). Sustained virological response rates were highest in the 1.0 microg/kg dose and achieved 25% compared with 12% in the standard IFN group. In conclusion, each regimen of pegylated IFN given once weekly is more effective than a regimen of standard IFN given three times weekly.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".