Propel: A Randomized Trial of Mericitabine Plus Peginterferon Alpha-2a/Ribavirin Therapy in Treatment-NaïVe HCV Genotype 1/4 Patients
Bibliographic record
Abstract
UNLABELLED: Mericitabine is a nucleoside analog polymerase inhibitor of hepatitis C virus (HCV). Treatment-naïve HCV genotype 1 or 4 patients were randomized to double-blind treatment with oral mericitabine at a dosage of 500 mg twice-daily (BID) for 12 weeks (A), 1,000 mg BID for 8 (B) or 12 weeks (C and D), or placebo BID for 12 weeks (E). All patients received pegylated interferon alpha-2a (Peg-IFNα-2a; 40 kD)/ribavirin (RBV) at standard doses for 24 or 48 weeks during and after mericitabine/placebo therapy. Patients in arms A-C who maintained a virologic response (VR) (HCV RNA <15 IU/mL) from weeks 4 to 22 stopped all treatment at week 24; all other patients (arms A-E) continued Peg-IFNα-2a/RBV to complete 48 weeks. The primary outcome was sustained VR (SVR) (HCV RNA <15 IU/mL after 24 weeks of untreated follow-up; SVR-24). VR rates were higher in arms A-D than in arm E at weeks 4 and 12 overall, in patients with and without cirrhosis and in patients with CC and non-CC IL28B genotypes. However, the overall SVR-24 rate in arms D (50.6%) and E (placebo, 51.2%) was similar and those in the response-guided therapy arms A, B, and C were lower (48.8%, 42.0%, and 32.9%, respectively). No viral breakthrough or mericitabine-resistance mutations (S282T) were observed during mericitabine therapy. CONCLUSION: Treatment with mericitabine plus Peg-IFNα-2a/RBV for 8 or 12 weeks provided potent suppression of HCV RNA, was well tolerated, and did not select resistant variants, but did not increase SVR rates, compared to placebo. IFN-free and IFN-containing trials of mericitabine of longer treatment duration are ongoing.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".