Economic evaluation of pan-genotypic generic direct-acting antiviral regimens for treatment of chronic hepatitis C in Iran: a cost-effectiveness study
Bibliographic record
Abstract
INTRODUCTION: Low-cost generic direct-acting antiviral (DAA) regimens for treatment of hepatitis C virus (HCV) are available in several low-income/middle-income countries, important for treatment scale-up. This study evaluated the cost-effectiveness of genotype-dependent and pan-genotypic DAA regimens in Iran as an example of a resource-limited setting. METHODS: A Markov model was developed to simulate HCV natural history. A decision tree was developed for HCV treatment, assuming four scenarios, including scenario 1: genotyping, sofosbuvir/ledipasvir (SOF/LDV) for genotype 1, and sofosbuvir/daclatasvir (SOF/DCV) for genotype 3; scenario 2: genotyping, SOF/LDV for genotype 1, and sofosbuvir/velpatasvir (SOF/VEL) for genotype 3; scenario 3: no genotyping and SOF/DCV for all; and scenario 4: no genotyping and SOF/VEL for all. A 1-year cycle length was used to calculate the cumulative cost and effectiveness over a lifetime time horizon. We calculated quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER) using a health system perspective. Costs were converted to US dollars using purchasing power parity exchange rate ($PPP). All costs and outcomes were discounted at an annual rate of 3%. RESULTS: Among people with no cirrhosis, scenario 3 had the minimum cost, compared with which scenario 4 was cost-effective with an ICER of 4583 $PPP per QALY (willingness-to-pay threshold: 9,311 $PPP per QALY). Among both people with compensated or decompensated cirrhosis, scenario 4 was cost saving. In sensitivity analysis, scenario 4 would be also cost-saving among people with no cirrhosis provided a 39% reduction in the cost of 12 weeks SOF/VEL. CONCLUSION: Initiating all patients on pan-genotypic generic DAA regimens with no pretreatment genotyping was cost-effective compared with scenarios requiring pretreatment HCV genotype tests. Among generic pan-genotypic DAA regimens, SOF/VEL was cost-effective, for people with no cirrhosis and cost-saving for those with cirrhosis.
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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 | 0.009 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".