The Era of Direct-Acting Antivirals Has Begun: The Beginning of the End for HCV?
Bibliographic record
Abstract
The year 2011 marks the dawn of the new era of direct-acting antivirals for hepatitis C. For the first time since 1998, the U.S. Food and Drug Administration approved two new antiviral drugs for the treatment of chronic hepatitis C virus genotype 1. Dual therapy with pegylated interferon and ribavirin is no longer the standard of care for genotype 1. The new treatment paradigm includes one direct-acting antiviral, a protease inhibitor, in combination with pegylated interferon and ribavirin. This combination nearly doubles the chances of response to treatment, but at the cost of increased toxicity. Many agents with different mechanisms of action and improved safety profiles are in clinical development. The holy grail of HCV treatment is an all oral, interferon-free treatment. The ideal regimen will be potent, well tolerated, with minimal drug-drug interactions and once daily. This article covers new concepts of treatment of hepatitis C with DAAs and gives an overview of the recent highlights in direct-acting antiviral development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".