U.S. Multicenter Pilot Study of Daily Consensus Interferon (CIFN) Plus Ribavirin for “Difficult-to-Treat” HCV Genotype 1 Patients
Bibliographic record
Abstract
BACKGROUND: Patients with chronic hepatitis C genotype 1 (HCV-1) and difficult-to-treat characteristics respond poorly to pegylated interferon alfa and ribavirin (RBV), and could benefit from an interferon with increased activity (consensus interferon or CIFN), favorable viral kinetics from daily dosing, and a longer duration of therapy. The purpose of this pilot study was to determine the efficacy and safety of daily CIFN + RBV for initial treatment of patients with HCV-1 infection. METHODS: Patients with difficult-to-treat characteristics (92% male, 33% African American, 78% Veterans Affairs [VA]; 67% high viral load, 59% stage 3-4 fibrosis, and mean weight of 204 lbs) were enrolled at seven VA and two community medical centers. They were randomized to daily CIFN (15 mcg/day SQ) and RBV (1-1.2 g/d PO) given for either 52 weeks (group A, n = 33) or 52-72 weeks (from time of viral response +48 weeks) (group B, n = 31). RESULTS: Intention to treat analysis for treatment groups A and B demonstrated 33% (11/33) and 32% (10/31) sustained virologic response (SVR), respectively. Only 2/31 patients in group B received more than 52 weeks of treatment. The overall group demonstrated a 31% (20/64) rapid virologic response rate (RVR), 54% (34/64) end of treatment virologic response and a 33% (21/64) SVR. Patients with RVR at 4 weeks, early virologic response from 8-12 weeks, and late virologic response from 16-24 weeks demonstrated SVR of 75% (15/20), 31% (4/13), and 22% (2/9), respectively. Overall early non-protocol discontinuation occurred in 26/64 (40%) patients. CONCLUSION: Daily CIFN and ribavirin for initial treatment of HCV-1 patients has potential for achieving a relatively high RVR rate, but discontinuations are frequent and successful use of this regimen is highly dependent on adequate patient support to maintain adherence.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".