Deferred treatment with a fixed‐dose combination of sofosbuvir‐velpatasvir for chronic hepatitis C virus genotype 1, 2, 4 and 6 infection
Bibliographic record
Abstract
Sofosbuvir-velpatasvir is approved for the treatment of chronic hepatitis C virus (HCV) infection. In this single-arm, open-label, phase 3, deferred treatment study, we investigated the efficacy and safety of sofosbuvir-velpatasvir among patients randomized to the placebo group in the ASTRAL-1 study. Patients received sofosbuvir-velpatasvir (400/100 mg) once daily for 12 weeks. The primary efficacy endpoint was the proportion of patients with sustained virologic response 12 weeks after the end of therapy (SVR12). The primary safety endpoint was any adverse events (AEs) leading to the permanent discontinuation of study drug. Overall, 108/111 (97%, 95% confidence interval [CI], 92%-99%) achieved SVR12, and only one patient had virological failure. SVR12 was achieved by 61/63 (97%, 95%CI, 89%-100%) genotype 1 patients, 20/20 (100%; 95%CI, 83%-100%) with genotype 2, 19/19 (100%; 95%CI, 82%-100%) with genotype 4 and 8/9 (89%; 95% CI, 52%-100%) with genotype 6. All (19/19; 95%CI, 82-100) patients with cirrhosis and all (31/31, 95%CI, 89-100) with prior treatment experience achieved SVR12. The safety profile during treatment was similar to that observed in patients receiving placebo treatment. The most common AEs were headache, fatigue and nausea. One patient (1%) discontinued treatment due to an AE of gallbladder carcinoma, which was not considered related to treatment. Of five reported serious AEs, none were considered related to study drug. Sofosbuvir-velpatasvir for 12 weeks was effective and well tolerated among untreated and previously treated patients with HCV genotype 1, 2, 4 or 6 infection, including those with compensated cirrhosis (ClinicalTrials.gov NCT02346721).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".