GARNET: High SVR Rates Following Eight-Week Treatment with Ombitasvir/Paritaprevir/Ritonavir + Dasabuvir for Patients with HCV Genotype 1b Infection
Bibliographic record
Abstract
Introduction: Ombitasvir, paritaprevir (identified by AbbVie and Enanta) co-administered with ritonavir, and dasabuvir comprise the 3 direct-acting antiviral (DAA; 3D) regimen OBV/PTV/r + DSV approved for hepatitis C virus (HCV) genotype (GT) 1 infection. Previous data reported high rates of sustained virologic response (HCV RNA <LLOQ; SVR) at post-treatment week 12 (PTW12; SVR12) following 8 and 12 weeks of 3D treatment with and without ribavirin (RBV), respectively. This is the first study evaluating an 8-week treatment duration of 3D without RBV in HCV GT1b-infected patients without cirrhosis. Methods: GARNET is a multicenter, open-label, single-arm study investigating the safety and efficacy of an 8-week treatment duration of once-daily OBV/PTV/r (25/150/100 mg) + twice-daily DSV (250 mg) in treatment-naive patients with chronic HCV GT1b infection without cirrhosis. Safety and available rates of HCV RNA <LLOQ at end of treatment (EOT) and at PTW4 (SVR4) are reported. Results: The study enrolled166 patients across 20 sites. Select baseline demographics, safety, and laboratory abnormalities are presented in Table 1. To date, 164/166 (99%) patients with available data had HCV RNA <LLOQ at EOT or a subsequent visit. Of the 70 patients that have reached PTW4, 100% achieved SVR4. Two patients did not achieve HCV RNA
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".