Telaprevir for Retreatment of HCV Infection: Review of the REALIZE Trial
Bibliographic record
Abstract
An estimated 170 million people are chronically infected with HCV, which is a leading cause of cirrhosis, hepatocellular carcinoma and liver transplantation in North America. However, in patients infected with HCV genotype 1, 48 weeks of pegylated IFN-α and ribavirin treatment results in a sustained virologic response of only 40–50%. Therefore, development of effective regimens to eradicate HCV has been an urgent priority, especially in those patients who have a predicted low treatment response, partial responders and nonresponders. Telaprevir is a reversible, selective, orally bioavailable inhibitor of the HCV NS3/4A serine protease, and resembles the HCV polypeptide that is cleaved by the viral protease, a necessary step in replication. The REALIZE trial was a Phase III, randomized, double-blind, placebo-controlled study of patients who were previously treated with pegylated IFN-α and ribavirin unsuccessfully for chronic genotype 1 HCV infection, with the aim to compare the efficacy, safety and tolerability of telaprevir. This article reviews the background, study design and results of the REALIZE trial, and discusses the significance of these findings in the rapidly evolving treatment regimens for genotype 1 chronic HCV.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".