A COMPARISON OF SOFOSBUVIR/VELPATASVIR (S/V) AND GLECAPREVIR/PIBRENTASVIR (G/P) FOR THE TREATMENT OF HCV INFECTION AMONG HCV-INFECTED PEOPLE WHO USE DRUGS (PWUD)
Bibliographic record
Abstract
To eliminate hepatitis C (HCV) infection as a public health concern by 2030, there is a need to develop comprehensive programs among key populations such as people who use drugs (PWUD). Two highly effective regimens are available for initial therapy: glecaprevir/pibrentasvir (G/P) given as 3 tablets/day for 8 weeks and sofosbuvir/velpatasvir (S/V) given as 1 tablet/day for 12 weeks. Data evaluating the safety and efficacy comparing one regimen over another in a population of PWUD is limited. Patients were identified through outreach events. Viremic patients were offered HCV treatment within a multidisciplinary program. This retrospective comparison analysis focuses on the first 120 sequential individuals who chose either treatment and in whom a definitive outcome of treatment was available between March 1, 2019 and February 29, 2024. The primary outcomes of the analysis were cure of HCV infection and its corelates, as well as safety of the individual regimens. We successfully identified 120 within each of the G/P and S/V treatment groups. Of those on G/P, we note 28.3 % female, 20.9 % Indigenous, 70.8 % using fentanyl, and 51.3 % with unstable housing. Of those on S/V, we note 25.8 % female, 20.8 % Indigenous, and 75 % using fentanyl and 56.7 % with unstable housing. Overall, 118 and 115 patients completed therapy on G/P and S/V, respectively. A total of 118 and 115 completed therapy on G/P and S/V, with virologic relapse documented in 3 and 2 participants on G/P and S/V, respectively. The ITT/mITT cure rates for G/P and S/V were 95.0 %/97.4 % and 94.2 %/98.3 %, respectively. There were 5 drug overdose deaths among those who initiated treatment, one on G/P and 4 on S/V. Conclusion : We have evaluated two highly effective regimens in a group of inner-city PWUD, with comparable success rates well in excess of 90 %. Our data supports the offer of both options for the treatment of PWUD with HCV infection.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".