Chronic Hepatitis C Virus Management: 2000–2005 Update
Bibliographic record
Abstract
OBJECTIVE: To review recent advances that have significantly changed the management of chronic hepatitis C virus (HCV) infection. DATA SOURCES: A MEDLINE search (2000-July 2005) was conducted using key words such as hepatitis C, interferon, pegylated interferon, and therapy. STUDY SELECTION AND DATA EXTRACTION: All articles pertaining to treatment of chronic HCV infection were identified. Studies evaluating HCV treatment in treatment-naive patients were considered for this review. DATA SYNTHESIS: Over the past several years, response to treatment for chronic HCV infection has significantly improved with the use of pegylated interferon and ribavirin therapy. Treatment response is influenced by HCV genotype and viral load, as well as patient-related factors, including adherence. CONCLUSIONS: Treatment of chronic HCV infection has improved, with overall response rates of approximately 55%. Identification and management of common adverse effects is important in maximizing adherence and response to therapy. Studies are needed to further delineate the optimum treatment of chronic HCV infection in specific patient populations.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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; both teacher heads agree on what is shown here.
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".