Early identification of HCV genotype 1 patients responding to 24 weeks peginterferon α-2a (40 kd)/ribavirin therapy
Bibliographic record
Abstract
Approximately one third of hepatitis C virus (HCV) genotype 1 patients achieved a sustained virological response (SVR) after 24 weeks of treatment with peginterferon alpha-2a (40 kd) plus ribavirin in a randomized, multinational trial. We aimed to identify factors associated with a rapid virological response (RVR) at week 4 (HCV RNA <50 IU/mL) and a SVR (HCV RNA <50 IU/mL at the end of follow-up) in these patients. Stepwise multiple logistic regression analysis was used to explore the prognostic factors for a RVR and SVR in genotype 1 patients treated for 24 weeks. Fifty-one of 216 (24%) genotype 1 patients in the 24-week treatment groups had a RVR. SVR rates were considerably higher in patients with than without [corrected] a RVR (89% vs. 19%, respectively). Patients with a baseline HCV RNA of less than 200,000 IU/mL (OR 9.7, 95% CI 4.2-22.5; P < .0001) or 200,000-600,000 IU/mL (OR 5.6, 95% CI 1.5-9.1; P = .0057) were more likely to achieve a RVR than those with HCV RNA greater than 600,000 IU/mL. HCV subtype (1b vs. 1a) was also independently associated with RVR (OR 1.8, 95% CI 0.9-3.7; P = .0954). RVR (OR 23.7 vs. no RVR, 95% CI 9.1-61.7) and baseline HCV RNA less than 200,000 IU/mL (OR 2.7 vs. > 600,000 IU/mL, 95% CI 1.1-6.3; P < .026) were significant and independent predictors of SVR in patients treated for 24 weeks. In conclusion, patients infected with HCV genotype 1 and treated with peginterferon alpha-2a/ribavirin sustained a RVR 24% of the time. This portends an 89% probability of a SVR after 24 weeks of treatment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".