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Record W4415682072 · doi:10.1016/j.vaccine.2025.127893

Long term immunogenicity of two doses of the quadrivalent HPV vaccine and the effect of an additional dose given five years post-primary vaccination

2025· article· en· W4415682072 on OpenAlexafffund
Chantal Sauvageau, Iulia Gabriela Ionescu, Moussa Ouakki, Gitika Panicker, Elizabeth R. Unger, Vladimir Gîlca, Marie‐Hélène Mayrand

Bibliographic record

VenueVaccine · 2025
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsCentre Hospitalier de l’Université de MontréalCentre hospitalier universitaire de QuébecInstitut National de Santé Publique du Québec
FundersFonds de recherche du QuébecMichael Smith Health Research BCFonds de Recherche du Québec - SantéMinistère de la Santé et des Services sociauxUniversité Laval
KeywordsImmunogenicityVaccinationImmune systemAntibodyAntibody responseImmunizationTerm (time)

Abstract

fetched live from OpenAlex

BACKGROUND: Antibody persistence in girls (age 9-11 years) receiving two quadrivalent vaccine (4vHPV) doses and impact of an additional dose five years post-primary vaccination were assessed. METHODS: Girls vaccinated with two 4vHPV (Gardasil) doses (n = 496) were randomized to one- (2 + 1) or no-additional-dose groups five years post-first dose. Geometric mean concentrations (GMCs) for HPV types 6/11/16/18 were measured using M9ELISA at 5, 7.5, and 10 years post-primary vaccination. RESULTS: Antibodies to 4vHPV-targeted types persisted in all participants at each time point in both study arms. Compared to the 2-dose group that had stable antibody levels up to 10 years, GMCs were higher in the 2 + 1 group at 7.5 and 10 years post-primary vaccination (p < .0001). CONCLUSIONS: Two doses of 4vHPV administered at ages 9-11 confers stable antibody levels up to 10 years post-vaccination that can be enhanced with an additional dose given several years later, suggesting the presence of immune memory.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.305
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2025
Admission routes2
Has abstractyes

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