Comparison of two PEG‐interferon alpha‐2b doses (1.0 or 1.5 <i>μ</i>g/kg) combined with ribavirin in interferon‐naïve patients with chronic hepatitis C and up to moderate fibrosis
Bibliographic record
Abstract
Health regulatory approval of the 1.5 microg/kg body weight dose of pegylated interferon (PEG-I) alpha-2b in combination with ribavirin for the treatment of chronic hepatitis C was based on a study using PEG-I alpha-2b at doses of only 0.5 and 1.5 microg/kg body weight (BW), in spite of the previously shown flat dose-response curve at doses of > or =1.0 microg/kg. Our aim was to compare PEG-I alpha-2b 1.0 microg/kg with 1.5 microg/kg, both in combination with ribavirin. Open-label, randomized study in 227 patients with biopsy-proven chronic hepatitis C (Metavir < or =F2), receiving oral ribavirin (400 mg, twice daily) in combination with subcutaneous PEG-I alpha-2b (1.0 or 1.5 microg/kg, once weekly) for 24 weeks (genotype 2 or 3), or 48 weeks (other genotypes), followed by a 24-week drug-free period. Virologic response rates did not differ between the two doses of PEG-I alpha-2b: in patients infected with hepatitis C virus (HCV) genotype 1 or 4 treated with PEG-I 1.0 microg/kg BW, 38% (22/58) had a sustained virologic response compared with 39% (27/70) in the PEG-I 1.5 microg/kg BW dose group (P = ns). The corresponding values in patients infected with HCV genotype 2 or 3 were 71% (39/55) and 81% (29/36) respectively (P = ns). Adverse events led to transient or permanent dose reductions in fewer patients in the 1.0 microg/kg BW dose group (48/113 patients; 42%) than in the 1.5 microg/kg BW dose group (63/106 patients; 59%, P = 0.015). Furthermore, 89% of patients treated for 24 weeks but only 58% of patients treated for 48 weeks (P < 0.001) tolerated the treatment without relevant dose reduction or premature termination. In combination with ribavirin, PEG-I alpha-2b 1.0 microg/kg was as effective as 1.5 microg/kg but was better tolerated in patients with chronic hepatitis C and up to moderate fibrosis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".