Chronic viral hepatitis may diminish the gains of HIV antiretroviral therapy in sub-Saharan Africa
Bibliographic record
Abstract
There is a heavy burden of HIV-hepatitis B virus (HBV) and HIV-hepatitis C virus (HCV) co-infection in many regions of the developing world. An often unmentioned illness, issues of poverty, socio-economic status, nutrition, access to medical care, and mistrust of Western-style medicine conspire to reduce the opportunity to receive clinical work-up and treatment for chronic viral hepatitis. We discuss key issues specific to the treatment of viral hepatitis and obstacles to success with this endeavor in the context of HIV co-infection in Africa. We predict that provision of viral hepatitis antiviral therapy will become a more pressing issue as more HIV-infected patients receive lifesaving combination antiretroviral therapy only to succumb thereafter from viral hepatitis-induced liver disease. Given the lessons learned from combination antiretroviral rollout in sub-Saharan Africa, establishing expertise and infrastructure for viral hepatitis care and antiviral therapy is relevant. Failure to act now may diminish the milestones and the gains made with antiretroviral therapy in the developing world.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".