Daclatasvir, asunaprevir and beclabuvir fixed-dose combination forpatients with genotype 1 chronic hepatitis C
Bibliographic record
Abstract
Hepatitis C is killing 350,000 persons per year worldwide, 60% of the cases being patients with genotype 1 (GT-1). The fixed-dose tablet combination of daclatasvir (30 mg)/asunaprevir (200 mg)/beclabuvir (75 mg), DCV-TRIO, is one of the latest drugs in the pipeline of interferon-free direct-acting antiviral hepatitis C virus (HCV) therapies. DCV-TRIO increases the genetic barrier to resistance by acting at the same time against three hepatitis C key viral proteins. Results from the UNITY 1, 2, 3 and 4 phase III clinical trials showed that DCV-TRIO exhibited high sustained virologic responses at 12 weeks (between 92% and 100% for HCV GT-1 treatment-naive patients). Furthermore, DCV-TRIO was well tolerated in all studies with reported adverse events (AEs) with an incidence of at least 10% mostly being headache, diarrhea, fatigue and nausea and few AE-related discontinuations. Further research should focus on more real-life data on DCV-TRIO and on developing a pill regimen that works on other HCV genotypes with high genetic barriers and that is available at a reduced cost.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".