The Efficacy and Safety of 12 Weeks of Sofosbuvir and Ledipasvir versus Sofosbuvir, Ledipasvir, and Ribavirin in Patients with Chronic Hepatitis C, Genotype 1, Who Have Cirrhosis and Have Failed Prior Therapy: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background.The recommended therapy for patients with chronic hepatitis C (CHC), genotype 1, who have cirrhosis and have failed prior therapy is 12 weeks of sofosbuvir (SOF), ledipasvir (LDV), and ribavirin (RBV). This recommendation is based on expert opinion, and the efficacy of 12 weeks of SOF/LDV compared to SOF/LDV/RBV in this patient population has not yet been established.Methods. We conducted a systematic review and meta-analysis. Two investigators independently searched electronic databases and relevant conference proceedings for randomized controlled trials comparing rates of sustained virologic response 12 weeks after therapy (SVR12) when using 12 weeks of SOF/LDV versus 12 weeks of SOF/LDV/RBV in patients with CHC, genotype 1, who have cirrhosis and failed previous therapy.Results.Our search strategy yielded 596 studies of which four met criteria for inclusion. The pooled RR of not achieving SVR12 with SOF/LDV versus SOF/LDV/RBV was 1.21 (95% CI: 0.42–3.48). Adverse events were lower in the SOF/LDV compared to the SOF/LDV/RBV arms (pooled RR: 0.11, 95% CI: 0.04–0.29).Conclusions.Our findings suggest that 12 weeks of SOF/LDV cannot be considered noninferior to 12 weeks of SOF/LDV/RBV to achieve SVR12 in patients with CHC who have cirrhosis and failed prior therapy.
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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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.019 | 0.033 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".