Boceprevir in the treatment of chronic hepatitis C virus infection
Bibliographic record
Abstract
Marina Berenguer1, F Xavier López-Labrador2,31Hepatology-Liver Transplantation Unit, Digestive Medicine Service, Hospital Universitari La Fe, and National Network Center for Hepatology and Gastroenterology Research, Instituto de Salud Carlos III, CIBEREHD Spain; 2CSISP, Center for Public Health Research, Public Health Department, Generalitat Valenciana and Microbioloy Department/Institut Cavanilles, University of Valencia, Valencia, Spain; 3National Network Center for Biomedical Research in Epidemiology and Public Health, Instituto de Salud Carlos III, CIBERESP SpainAbstract: Chronic hepatitis C virus (HCV) infection is a global public health problem. The current standard-of-care treatment is effective in about 40%–50% of the cases, and the infection progresses to end-stage liver disease, hepatocellular carcinoma, and liver failure in a considerable number of infected individuals. After end-stage liver disease is established, the only reliable therapeutic intervention is liver transplantation. The urgent need for new, effective therapies is now focused on specific inhibitors of viral enzymes, among which inhibitors of the viral NS3/4A serine protease and NS5b RNA-dependent RNA polymerase are the most advanced in clinical development. In particular, telaprevir and boceprevir have entered several Phase III clinical trials after promising Phase II results. This review summarizes the preclinical and clinical development of boceprevir, one of the most important HCV NS3/4A protease inhibitors, and the eventual impact of this new inhibitor class for future HCV therapies.Keywords: HCV, antiviral therapy, protease inhibitors, viral resistance
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".