Early prediction of sustained virological response at day 3 of treatment with albinterferon‐α‐2b in patients with genotype 2/3 chronic hepatitis C
Bibliographic record
Abstract
BACKGROUND: Albinterferon-alpha-2b (albIFN) is a long-acting fusion polypeptide composed of albumin and IFN-alpha-2b. In a phase 2 study of albIFN 1500 mug q2wk or q4wk in patients with genotype 2/3 chronic hepatitis C, albIFN demonstrated sustained virological response (SVR) rates of 62-77% (intent-to-treat population). AIMS: To assess the association of initial viral kinetics during albIFN therapy with baseline factors and SVR prediction. METHODS: In all, 43 patients were treated with albIFN 1500 mug (q2wk/q4wk) plus ribavirin (RBV) 800 mg/day for 24 weeks. Hepatitis C virus (HCV)-RNA levels were measured by real-time polymerase chain reaction, insulin resistance by homeostasis model assessment of insulin resistance (HOMA-IR) and serum albIFN levels by enyzme-linked immunosorbent assay. Prediction analysis was performed in a per protocol 28-patient subset who were > or =80% adherent to albIFN/RBV and had HCV-RNA levels measured at treatment day 3. RESULTS: Day-3 HCV-RNA level and first-phase viral decline as well as second-phase slope of viral decline were significantly associated with SVR. In adherent patients, 82.1% had a day-3 viral load <4.2 log(10) IU/ml or first-phase decline >1.25 log(10) IU/ml, which was predictive of SVR, both positively (95.7%; sensitivity: 100%) and negatively (100%; specificity: 83.3%). As low first-phase decline was associated with a high pretreatment HOMA-IR index (P=0.004) and a low day-3 serum albIFN level (P=0.01). CONCLUSIONS: First-phase viral decline with albIFN/RBV was predictive of SVR in this study and may be modulated in part by IR.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 teacher head, 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".