Outcomes Research in Chronic Viral Hepatitis C: Effects of Interferon Therapy
Bibliographic record
Abstract
Although chronic hepatitis C (CHC) is often mild and asymptomatic, it may lead to decompensated hepatic cirrhosis and death. CHC is now the single most important indication for liver transplantation in North America. CHC is also an important cause of morbidity. Recent work is reviewed and shows that the health-related quality of life (HRQOL) of patients with CHC is markedly reduced compared with that of age- and sex-matched controls. For as yet unknown reasons, this reduction is more severe in CHC patients than in those with chronic hepatitis B. Successful therapy of CHC with type 1 interferons (IFNs) leads to substantial improvement - to nearly normal levels - in patients' HRQOL. In addition, IFN or IFN plus ribavirin therapy for CHC is highly cost effective, despite its limited long term efficacy; estimates of the costs to gain one year of quality-adjusted life range from no cost (that is, therapy is cost saving) to US$11,400 (for those most difficult to cure). Thus, despite the limited effectiveness of current therapies for CHC, they are fully justified based on their beneficial effects on patients' HRQOL and their cost effectiveness.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".