Long Term Follow-Up of Patients with Chronic Hepatitis C Treated with Alpha Interferon
Bibliographic record
Abstract
Interferon alpha (IFN alpha) treatment for chronic hepatitis C induces a sustained biochemical and virological response at six months after completing 24 weeks of therapy in approximately 10% of patients. The long term durability of this 'sustained' response is still controversial. The aim of this multicentre study was to assess the long term virological response in patients considered to have achieved a sustained biochemical response six months after completing IFN treatment. The majority (36 of 41) of the sustained responders identified had been treated for six months with IFN therapy. Twenty-nine of the 41 patients (70%) had undetectable hepatitis C virus (HCV) RNA after a mean follow-up of 38 months after cessation of treatment (range six to 92 months). All but one of those 29 individuals had normal serum alanine aminotransferase (ALT) levels. Of the 16 patients (out of 41) who had been tested for HCV RNA six months after treatment, HCV RNA remained undetectable in 14 (88%) at final follow-up. Serum ALT values in the 11 of 12 patients whose HCV RNA was positive at final follow-up were lower than pretreatment values, and in six cases were within the normal range. The long term sustained virological response in those considered a 'sustained responder' six months after receiving only six months of IFN is high. Measurement of ALT is an unreliable marker of sustained response to therapy.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".