Sofosbuvir/velpatasvir in patients with hepatitis C virus genotypes 1‐6 and compensated cirrhosis or advanced fibrosis
Bibliographic record
Abstract
BACKGROUND & AIMS: Patients with chronic hepatitis C virus infection and advanced fibrosis (Metavir F3) or cirrhosis (Metavir F4) have been identified as a priority group for immediate treatment. We evaluated the safety and efficacy of sofosbuvir-velpatasvir in patients with hepatitis C virus genotype 1-6 infection and compensated cirrhosis or advanced fibrosis. METHODS: This retrospective analysis included 501 patients with compensated cirrhosis or advanced fibrosis (F3/F4), as defined by >0.59 on Fibrotest, >9.5 kPa on Fibroscan, or F3/F4 (Metavir) or F4 (Ishak) on liver biopsy. Patients received sofosbuvir-velpatasvir for 12 weeks. Sustained virological response 12 weeks after treatment was determined. RESULTS: Forty-four per cent of patients had cirrhosis. Sustained virological response 12 weeks after treatment was achieved by 98% of patients (490/501; 95% confidence interval, 96-99). Sustained virological response 12 weeks after treatment rates were 100% for hepatitis C virus genotypes 2 (85/85), 4 (60/60), 5 (13/13), and 6 (20/20). Sustained virological response 12 weeks after treatment rates were 98% (167/170) in hepatitis C virus genotype 1 patients and 95% (145/153) in hepatitis C virus genotype 3 patients. Among patients with cirrhosis 96% (212/220) achieved sustained virological response 12 weeks after treatment, vs 99% (278/281) for those with advanced fibrosis. Sustained virological response 12 weeks after treatment was 98% (306/311) for treatment-naïve patients and 97% (184/190) for treatment-experienced patients. No patients discontinued treatment due to adverse events. Eight patients reported nine serious adverse events; none was considered related to study procedures or drugs. CONCLUSIONS: Sofosbuvir plus velpatasvir is highly effective and safe for treating patients with hepatitis C virus genotypes 1, 2, 3, 4, 5 or 6 and advanced fibrosis or compensated cirrhosis.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| 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".