Uptake and factors associated with direct-acting antiviral therapy for hepatitis C and treatment outcomes among Canadian immigrants: A retrospective cohort analysis
Bibliographic record
Abstract
BACKGROUND: We sought to compare rates and factors associated with direct acting antiviral (DAA) treatment uptake and sustained virological response (SVR) between Canadian-born and foreign-born patients. METHODS: The study was conducted utilizing a retrospective cohort of hepatitis C virus (HCV)-infected patients assessed at The Ottawa Hospital Viral Hepatitis Clinic between January 2015 and October 2021. Risk factors, income, and clinical characteristics of HCV infection associated with DAA therapy uptake and SVR were compared by immigration status using logistic regression. RESULTS: Of 1,459 HCV-infected patients, 264 (18.1%) were born outside of the country. A median 17 years passed from immigration to first assessment at the clinic. The proportion of patients initiating DAA therapy was similar between groups (65.2% versus 69.5%, p = 0.17). Characteristics associated with DAA therapy uptake included age at first assessment (OR 1.02; 95% CI 1.01 to 1.03) and being cirrhotic (OR 3.19; 95% CI 1.99 to 2.13). Crude SVR rate was higher in immigrants than in Canadian-born patients (91.5% versus 83.7%, p = 0.01). After controlling for other variables, only advancing age was associated with the likelihood of achieving crude SVR (OR 1.04, 95% CI 1.02 to 1.05). CONCLUSIONS: We found that DAA therapy uptake and HCV cure rates were high in both groups suggesting equity of opportunity in those referred to our program. The older age at presentation suggests missed opportunities to diagnose and engage immigrants in HCV care. These findings emphasize the importance of early large-scale screening and engagement in care for HCV infection of immigrant populations to prevent future complications.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".