Global cascade of care for chronic hepatitis C virus infection: A systematic review and meta‐analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The World Health Organization 2030 targets for hepatitis C virus (HCV) elimination include diagnosing 90% of people with HCV and treating 80% of people diagnosed with HCV. This systematic review assessed reported data on the HCV care cascade in various countries and populations, with a focus on direct-acting antiviral (DAA) treatment uptake. Bibliographic databases and conference presentations were searched for studies reporting the HCV care cascade (DAA treatment uptake was a requirement) among the overall population with HCV or sub-populations at greater risk of HCV. Population-based studies, with participants representative of a city, province/state or country were eligible. Twenty eligible studies were included, reporting HCV care cascade in 28 populations/sub-populations from 11 countries. DAA treatment uptake at national levels was reported from Iceland (95%), Egypt (92%), Georgia (79%), Norway (18%) and Sweden (8%), and at sub-national levels from the Netherlands (52%), Canada (50%), the United States (29%) and Denmark (5%). Among people with HIV-HCV co-infection, DAA treatment uptake was 62% in Canada, 44% in the Netherlands, 21% in Switzerland and 18% in the United States. Among people who inject drugs, DAA treatment uptake was 50% in Georgia, 40% in Canada, 37% in Australia and 13% in the United States. Data among people experiencing homelessness were only available from the United States (treatment uptake: 12%-14%). We found no eligible study reporting HCV care cascade data in prisons. Relatively few countries reported HCV care cascade at the national level. DAA treatment uptake was widely varied across populations/sub-populations, with higher rates reported in recent years.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.018 | 0.008 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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 it