Sofosbuvir (Sovaldi) for the treatment of hepatitis C
Bibliographic record
Abstract
Hepatitis C (HCV) remains an important cause of chronic liver disease worldwide. Historically, treatment included pegylated-interferon and ribavirin with low efficacy and numerous side effects contributing to poor adherence and impairment of patients' well-being. The next step in developing better treatment regimens for HCV led to the development of the first-generation direct acting antivirals (DAAs). Although these DAAs improved efficacy, they also added substantial side effects. The next generation of DAAs include Simeprevir and Sofosbuvir (SOF) which not only further enhanced the efficacy of the regimens but also improve their safety profile. This review summarizes the current clinical experience with SOF. SOF, an HCV-specific uridine nucleotide analog which inhibits the NS5B polymerase, is now available in the USA, Canada and Europe. Clinical trials of SOF-containing regimens have shown that these regimens are safe, efficacious, and well-tolerated in all genotypes. Additionally, SOF is associated with improved patient reported outcomes.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".