Antibody and immune memory persistence after vaccination of preadolescents with low doses of recombinant hepatitis B vaccine
Bibliographic record
Abstract
Little is known about the impact of low-dose hepatitis B vaccine on the persistence of anti-HBs and immune memory in school-age children. Recombivax-HB 2.5 μg (RB) has been widely used in school-age children. RB induces high seroprotectionrates, but relatively low anti-HBs titers. The main objectives of this phase of the study were to assess anti-HBs persistence and the presence of immune memory 10 years post-vaccination of 8-10 year-old children with 3 doses of RB and the persistence of anti-HBs post-booster dose administration 5 (Group A; n=250) or 10 years (Group B; n=263) post-vaccination. No significant difference was observed between GMTs and the proportion of subjects with anti-HBs titers ≥ 10 mIU/mL 5 or 10 years post-vaccination. In both groups, a 56-fold decrease of anti-HBs GMTs was observed. One month post-booster, all but two subjects in Group A had an anti-HBs titer ≥ 10 mIU/mL. A 4.9- and 11.4-fold decrease in anti-HBs GMTs were observed during the first year post-booster in Group A and B, respectively. One year post-booster, the two groups were equivalent: ≥ 98.8% of subjects had an anti-HBs ≥ 10 mIU/mL. In group A, five years post-booster, 96.8% had a titer ≥ 10 mIU/mL; the GMT was 17-fold higher than the GMT 5 years post-vaccination (p<0.0001). In both groups, there was a strong positive correlation (p<0.0001) between anti-HBs titers observed post-primary vaccination and at following study time points (r=0.70-0.90). Three doses of RB administered at the age of 8-10 years induce a 10 years long-lasting immunity in virtually all vaccinees. The booster does not appear necessary on a 10 years perspective.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".