Health-related quality of life in people receiving opioid agonist treatment and treatment for hepatitis C virus infection
Bibliographic record
Abstract
BACKGROUND: In people with chronic hepatitis C virus (HCV) infection, viral eradication is associated with improved health-related quality of life (HRQOL). OBJECTIVE: To assess changes in HRQOL among participants receiving opioid agonist therapy undergoing treatment for HCV infection. METHODS: COSTAR (NCT02251990) was a randomized, double-blind, placebo-controlled study. Adults with HCV infection on opioid agonist therapy received elbasvir (50 mg)/grazoprevir (100 mg) or placebo for 12 weeks. HRQOL was evaluated using the Medical Outcomes Study 36-Item Short Form Health Survey version 2 (SF-36v2) Acute Form. Participants remained blinded until 4 weeks after end of treatment. RESULTS: Overall, 201 participants received elbasvir/grazoprevir and 100 participants received placebo. Treatment difference mean change from baseline scores (elbasvir/grazoprevir minus placebo) indicated an improvement in HRQOL at 4 weeks after end of treatment in participants receiving elbasvir/grazoprevir versus those receiving placebo, driven by declining HRQOL in those receiving placebo and improved HRQOL in certain domains among participants receiving elbasvir/grazoprevir. Notable differences in SF-36v2 scores were evident in the general health (mean treatment difference [MTD], 6.00; 95% CI, 1.37-10.63), vitality (MTD, 6.81; 95% CI, 1.88-11.75), and mental health (MTD, 5.17; 95% CI, 0.52-9.82) domains and in the mental component summary score (mean, 2.83; 95% CI, 0.29-5.37). No notable between-treatment differences were evident at treatment weeks 4 or 12. CONCLUSION: HRQOL in patients receiving medication for opioid dependence was improved following treatment for HCV infection with elbasvir/grazoprevir, suggesting that eradication of HCV infection with direct-acting antivirals is associated with improved HRQOL. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, NCT02251990.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".