Safety and Efficacy of Pegylated Interferon Lambda, Ribavirin, and Daclatasvir in HCV and HIV-Coinfected Patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To evaluate the efficacy and safety of pegylated interferon-lambda-1a (Lambda)/ribavirin (RBV)/daclatasvir (DCV) for treatment of patients coinfected with chronic hepatitis C virus (HCV) and human immunodeficiency virus (HIV). Treatment-naive patients were assigned to cohort A [HCV genotype (GT)-2 or -3] or cohort B [HCV GT-1(a or b) or -4]. All patients received Lambda/RBV/DCV for the first 12 weeks; cohort A received Lambda/RBV for an additional 12 weeks, followed by 24 weeks of follow-up, and cohort B received response-guided therapy. The primary endpoint was the proportion of patients who achieved a sustained virologic response at post-treatment week 12 (SVR12). In cohort A (n = 104), 84.6% achieved SVR12 (95.0% in GT-2; 83.1% in GT-3). In cohort B (n = 196), 76.0% achieved SVR12 (71.7% in GT-1a; 86.0% in GT-1b; 70.7% in GT-4). Rates of discontinuation due to adverse events (AEs) (3.8% and 6.1%) and serious AEs (5.8% and 6.1%) were low in cohorts A and B, respectively. In addition, treatment with Lambda/RBV/DCV had little impact on CD4 counts. SVR12 rates with Lambda/RBV/DCV in an HCV/HIV-coinfected population ranged from 71.7% to 95.0%. Treatment was generally well tolerated, with a low proportion of patients discontinuing due to AEs. Clinical trial registration NCT01866930.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it