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Record W2005791824 · doi:10.4161/hv.7.2.13690

Long term protection against cervical infection with the human papillomavirus: Review of currently available vaccines

2011· review· en· W2005791824 on OpenAlexaff
Barbara Romanowski

Bibliographic record

VenueHuman Vaccines · 2011
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of Alberta
FundersGlaxoSmithKline
KeywordsBivalent (engine)ImmunogenicityMedicineVaccinationBooster doseVirologyImmune systemCervical cancerImmunologyHPV vaccinesHPV infectionImmunizationInternal medicineCancer

Abstract

fetched live from OpenAlex

Two vaccines against HPV are commercially available: an HPV-16/18 (bivalent) and an HPV-6/11/16/18 (quadrivalent) vaccine. Vaccination programs have been and will be implemented before the full duration of protection is known. Whether booster doses will be required is also unknown at this time. Meanwhile, predictions rely upon phase III studies and mathematical modelling. In a head to head study, the bivalent vaccine induced a higher, more sustained immune response than the quadrivalent vaccine. Immunogenicity of the bivalent vaccine against HPV-16 and HPV-18 has been demonstrated up to 8.4 years. For the quadrivalent vaccine, immunogenicity data up to 5 years show that the immune response against HPV-18 wanes after approximately 4 years. Efficacy against infection and cervical lesions associated with HPV-16/18 has been shown up to 8.4 and 5 years with the bivalent and quadrivalent vaccine, respectively. Cross-protection against non-vaccine types appears stronger with the bivalent vaccine. However, both vaccines may provide sufficient immunogenicity to confer long-term protection. Ongoing monitoring is essential.

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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.142
GPT teacher head0.398
Teacher spread0.256 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations123
Published2011
Admission routes1
Has abstractyes

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