Rapid virological response as a predictor of sustained response in HCV-infected patients with persistently normal alanine aminotransferase levels: A multicenter study
Bibliographic record
Abstract
Rapid virological response (RVR) is now considered the strongest predictor of sustained virological response (SVR) in patients with HCV undergoing antiviral treatment, and thus, shorter antiviral treatment for these patients has been suggested. However, no data exist on the predictive value of RVR in HCV carriers with normal ALT values. A total of 137 patients with persistently normal ALT treated with peginterferon alfa 2a and ribavirin were studied. Fifteen patients dropped out early because of side effects, and in 10 patients with HCV-1 treatment was discontinued because of lack of early virological response (EVR). RVR was observed in 68% of the patients (42% patients with HCV-1, 90% HCV-2 and 64% HCV-3). An end-of-treatment response was observed in 86% of the patients (68% HCV-1, 100% HCV-2 and 91% HCV-3). SVR was maintained in 91 patients (46% HCV-1, 97% HCV-2 and 82% HCV-3). Overall, 92% patients with rapid response did obtain HCV eradication vs only 38% of those without rapid response. HCV-1 patients with baseline HCV RNA <400×10(3) IU/mL were more likely to achieve RVR and SVR than those with higher HCV RNA levels. We conclude that patients with genotype 1 and normal ALT who achieve HCV RNA negativity at week 4 may have a higher probability of eradicating their infection. Because of the concomitant favourable demographic and virological features often found in this particular subset of patients, the duration of therapy in these people might be shortened in the case of RVR. Persistently normal alanine aminotransferase levels patients with genotype 2 or 3 have a high chance of achieving SVR, so retesting of HCV RNA during treatment may have no additional practical value in these subjects.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".