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Record W2784272328 · doi:10.1093/infdis/jix582

Bivalent Vaccine Effectiveness Against Type-Specific HPV Positivity: Evidence for Cross-Protection Against Oncogenic Types Among Dutch STI Clinic Visitors

2017· article· en· W2784272328 on OpenAlexfundno aff
Petra J. Woestenberg, Audrey J. King, Birgit van Benthem, Robine Donken, Suzan Leussink, Fiona van der Klis, Hester E. de Melker, Marianne A. B. van der Sande, Christian J. P. A. Hoebe, Johannes A. Bogaards, D. Adema, R. Buist-Arkema, A. Beerens, Dirk Luijt, S. Meijer, Jurjen Schirm, Marc Peeters, John W. A. Rossen, Harold Verbakel, Patrick van Esch, Jaco J. Verweij, Annemiek van der Eijk, R. M. Huisman, C. M. C. Kerkhof, H. Korff, Martin Schutten, Jans Velzing, F. Verduyn-Lunel, S. Lakbiach, Peter van Rosmalen, Rob Schuurman, D. Abma, Katherine Adams, Sylvia M. Bruisten, Ian van der Linde, Paul M. Oostvogel, C. Touwen, W Vermeulen, Antoinette A. T. P. Brink, Jelly Nelissen, Petra Wolffs, N. Duijvendijk, Peter M. Schneeberger, Manfred Pöppel, Willem J. G. Melchers, Y. Poort, M. Hooghiemstra, Han G. Huisman, Jan Weel, F Bosma, Felix Geeraedts, I. Polman, P van Goor, M. J. H. M. Wolfhagen, C. de Mooij, Elly van Koolwijk, Michael H. Peters, C.M.A. Swanink, R. Tiemessen, TL van Zwet, J Janssen, M Pelsers, W. de Waal, G. Aalfs, Jordy J. S. Kiewiet, P. Sanders, H. van Buel-Bruins, C. van Bokhoven-Rombouts, P. J. G. Cornelissen, Marie José Kersten, C. van Ruitenbeek, I. Quintus Molenaar, Eva van Doorn, L. J. Masthoff, E. Pannekoek, V. Sigurdsson, M.L.T. Bugter, Hannelore M Götz, M. Illidge-Onder de Linden, M. Mattijssen, J. Stam, E. Swaders, F de Groot, F. Postma, Elfi E. H. G. Brouwers, Anne-Marie Niekamp, Marieke Smit, A. Botraby, D. Bukasa, C. de Haan, P. Hut-van Vliet, T. Taconis, M. de Graas, I. Hondelink, Carolina J G Kampman, A. Gelissen-Hansen, Inge de Koning, H. van Kruchten, M. van de Pas, H Fennema, Titia Heijman, A.A. Hogewoning, Astrid van Leeuwen, M van Rooijen, Ferna Neienhuijsen, M Pelgrim

Bibliographic record

VenueThe Journal of Infectious Diseases · 2017
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
FundersUniversiteit MaastrichtErasmus Medisch CentrumMaastricht Universitair Medisch CentrumRadboud Universitair Medisch CentrumMinistry of Health, British ColumbiaRadboud Universiteit
KeywordsMedicineVaccinationBivalent (engine)HPV vaccinesPopulationHuman papillomavirusHPV infectionGynecologyCervical cancerInternal medicineVirologyCancerEnvironmental health

Abstract

fetched live from OpenAlex

Background: Observational postmarketing studies are important to assess vaccine effectiveness (VE). We estimated VE from the bivalent human papillomavirus (HPV) vaccine against HPV positivity of vaccine and nonvaccine types in a high-risk population. Methods: We included all vaccine-eligible women from the PASSYON study, a biennial cross-sectional survey in Dutch sexually transmitted infection clinics. Vaginal swabs were analyzed using a polymerase chain reaction-based assay (SPF10-LiPA25) able to detect the 12 high-risk HPV (hrHPV) types 16/18/31/33/35/39/45/51/52/56/58/59. We compared hrHPV positivity between self-reported vaccinated (≥1 dose) and unvaccinated women, and estimated VE by a logistic mixed model. Results: We included 1087 women of which 53% were hrHPV positive and 60% reported to be vaccinated. The adjusted pooled VE against HPV-16/18 was 89.9% (81.7%-94.4%). Moreover, we calculated significant VE against nonvaccine types HPV-45 (91%), HPV-35 (57%), HPV-31 (50%), and HPV-52 (37%). Among women who were offered vaccination 5/6 years ago, we estimated similar VE against HPV-16/18 (92%) and all hrHPV types (35%) compared to women who were offered vaccination <5 years ago (83% and 33%, respectively). Conclusion: We demonstrated high VE of the bivalent vaccine against HPV-16/18 and cross-protection against HPV-45/35/31/52. Protection against HPV-16/18 was sustained up to 6 years postvaccination.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.176
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.413
Teacher spread0.334 · 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

Citations87
Published2017
Admission routes1
Has abstractyes

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