P0293 FINAL EVALUATION OF A LOOKBACK PROCEDURE TO IDENTIFY HCV INFECTION IN THE TRANSFUSED NICU POPULATION
Bibliographic record
Abstract
Introduction: Natural history of hepatitis C virus (HCV) infection in children is not well characterized.Many recent studies suggest a higher level of HCV RNA clearance in children than in adults.The aim of our study is to assess the course of spontaneous viral clearance in a group of HCV infected children.Methods: This prospective study included 48 children (30 boys, 18 girls) whom route of contamination was a vertical transmission (n = 29), blood transfusion (n=13), or an unknown transmission (n=2).Since 1991, all patients were checked for clinical conditions, liver function tests and HCV viraemia twice a year for 2 years, and then every year.The age of contamination was 27 months ± 39.6 (0 -16.5 years); the mean follow-up was 10 years and 11 months ± 5 years 7 months (0.75 -21 years), mean age at the time of evaluation was 13.4 years ± 6.9 (0.75 -31 years).Results: 7/48 patients achieved spontaneous remission after 2.6 ± 1.2 years (0.5 -6 years), at the mean age of 5.7 years ± 5.0 (0.5-18 years).There was no significant difference according to the route of infection (vertical transmission = 5/29; 17.24% ; blood transfusion = 2/13 ; 15.38%).5/48 patients progress to cirrhosis, attested by ultrasonography, biology analysis (Fibrotest F4), and liver biopsy (METAVIR F4), after a mean follow up of 15.8 years ± 2.5.All this patients had an associated disease (posttransfusion hemochromatosis n=1, Hepatitis B Viral co-infection n=1, HIV co-infection n=1, pulmonary emphysema and right cardiac failure n=1, Down syndrome n=1).Conclusion: According to these results, we can conclude 1/ spontaneous HCV clearance is lower than estimated 2/spontaneous blood HCV RNA loss occurs as late as 6 years after contamination, 3/ progression to cirrhosis is strongly linked with an associated cause of liver disease.
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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 | 0.007 | 0.020 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".