Hepatitis C virus testing in infants, a move to early screening by HCV RNA at 2 months of age
Bibliographic record
Abstract
In the last decade, hepatitis C virus (HCV) has become a curable chronic viral infection, with excellent treatment and streamlined diagnostic testing. Canada and many other countries have adopted national elimination targets; however, reaching these goals will require changes in the way care is provided. Standard of care HCV treatment is all-oral daily medication for 8 or 12 weeks and all provinces in Canada have mechanisms for public coverage. Unfortunately, vertical transmission continues to be the predominant reason for paediatric infection, but if diagnosed, children can be treated as young as 3 years old. Early paediatric diagnosis and cure are of the utmost importance to prevent complications such as adverse mental health outcomes and advanced liver disease early in life. One major barrier to paediatric diagnosis and cure is poor antibody screening uptake, as low as 23% by 18 months among children born to positive persons. In the United States, a landmark study showed a temporal decrease in screening rates from 91% at 2 months to 59% at 18 months. As such, the American Association for Study of the Liver/Infectious Disease Society of America, and very recently, the Centres for Disease Control and Prevention, now recommend screening by all children born to positive person for HCV RNA at 2-6 months of age. While antibody testing could still be completed at 18 months to determine serostatus, understanding if a child has active infection in infancy supports early linkage to care and decreases paediatric loss to follow-up.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".