Disease burden of chronic hepatitis C among immigrants in Canada
Bibliographic record
Abstract
Immigrants with chronic hepatitis C (CHC) in Canada have doubled risk of hepatocellular carcinoma. To measure the burden of CHC among immigrants in Canada. A decision analytic model was developed to compare immigrants with CHC and age-matched immigrants without CHC for survival years, quality-adjusted life-years (QALYs) and medical costs per life year. Hepatitis C epidemiology among immigrants was based on hepatitis C prevalence in their home countries. A cohort of immigrant patients was retrospectively followed up to estimate fibrosis stage distribution, treatment patterns and prognosis of compensated cirrhosis. Other model variables were based on published sources. Base case analysis, one-way sensitivity analysis and probabilistic sensitivity analysis were performed to measure the burden of CHC and assess the impact of uncertainty associated with model variables on the burden of CHC. CHC could reduce survival by 9.6 years [95% credible interval (CI): 8.0-10.9 years], reduce QALYs by 9.5 years (95% CI: 6.0-13.8 years) and increase medical costs per life year by $1950 (95% CI: $1518 to $2486, 2006 Canadian dollars). Because nearly half of immigrants with CHC were not diagnosed until the development of cirrhosis, the burden of CHC was highly sensitive to the risks of liver-related complications and mortality but insensitive to pegylated interferon plus ribavirin. The burden of CHC among immigrants in Canada is substantial mainly due to liver-related complications and mortality. The delay in diagnosis was another important contributor to the burden of CHC among immigrants.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".