Efficacy and safety results of patients with <scp>HCV</scp> genotype 2 or 3 infection treated with ombitasvir/paritaprevir/ritonavir and sofosbuvir with or without ribavirin (<scp>QUARTZ II</scp>‐<scp>III</scp>)
Bibliographic record
Abstract
The efficacy and safety of an investigational combination of ombitasvir/paritaprevir/ritonavir (OBV/PTV/r) plus sofosbuvir (SOF) ± ribavirin (RBV) in patients with HCV genotype 2 or 3 infection with or without cirrhosis was evaluated. Patients with HCV genotype 3 infection without cirrhosis were randomized to receive OBV/PTV/r + SOF ± RBV for 12 weeks; OBV/PTV/r + SOF + RBV was administered to genotype 3-infected patients with cirrhosis for 12 weeks and to genotype 2-infected patients without cirrhosis for either 6 or 8 weeks. Efficacy was assessed by sustained virologic response [HCV RNA <25 IU/mL] 12 weeks post-treatment (SVR12). Safety was assessed in all treated patients. In patients with genotype 3 infection with or without cirrhosis treated with 12 weeks of OBV/PTV/r + SOF ± RBV, the overall SVR12 rate was 98% (50/51), with no virologic failures. Patients with genotype 2 infection treated with OBV/PTV/r + SOF + RBV had SVR12 rates of 90% (9/10) and 44% (4/9) following 8- and 6-week treatment durations, respectively; failure to achieve SVR12 for these patients was due to relapse without baseline or treatment-emergent resistance-associated substitutions. Thus, the investigational combination of OBV/PTV/r with SOF ± RBV was well tolerated and achieved high SVR rates with no virologic failures in patients with genotype 3 infection. Combining direct-acting antivirals with complementary mechanisms of action and different viral targets may be an effective treatment strategy that may allow for shorter durations of therapy.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".