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Record W7117255559 · doi:10.1016/j.vaccine.2025.128144

Immune memory assessment three years following a single dose of hepatitis a vaccine at 12, 13 or 19 months of age

2025· article· en· W7117255559 on OpenAlexafffund
Yossi Febriani, Marie-Michelle Ursu, Chantal Sauvageau, Koffi Barnabé Kegbevi, Caroline Quach, Michaël Desjardins, Julie Bestman‐Smith, Vladimir Gîlca, Nicholas Brousseau

Bibliographic record

VenueVaccine · 2025
Typearticle
Languageen
FieldMedicine
TopicHepatitis Viruses Studies and Epidemiology
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité du QuébecUniversité LavalUniversité de MontréalInstitut National de Santé Publique du QuébecCentre Hospitalier Universitaire Sainte-JustineCentre hospitalier de l'Université Laval
FundersFonds de recherche du QuébecMinistère de la Santé et des Services sociauxUniversité Laval
KeywordsHepatitis A vaccineImmune systemImmunological memoryVaccinationPopulationHepatitisHepatitis a virusHepatitis A

Abstract

fetched live from OpenAlex

INTRODUCTION: We aimed to evaluate immunological memory after three different single-dose hepatitis A vaccination schedules. METHODS: Children were vaccinated using one of three schedules: 1) Twinrix®Junior at 12 months (Twinrix12); 2) Vaqta®pediatric at 13 months (Vaqta13); or 3) Vaqta®pediatric at 19 months of age (Vaqta19), followed by a challenge dose with Twinrix®Junior three years later. Blood samples were collected before and one month post-challenge dose. RESULTS: A total of 320 children were included in this analysis. Seropositivity (≥20 mIU/mL) three years post-primary vaccination was lower for the Twinrix12 schedule (40.2 %) compared to the Vaqta13 (65.6 %) or Vaqta19 schedules (77.6 %). One month post-challenge dose, the proportion of participants with an anamnestic response was high and similar across the three schedules (Twinrix12: 97.5 %; Vaqta13: 98.4 %; Vaqta19: 96.1 %). CONCLUSION: Single-dose hepatitis A vaccination induced a strong immune response across the three schedules. However, further studies are needed to confirm long-term durability and population impact.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.034
GPT teacher head0.324
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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