Evidence map›Paper›PMID 24009669›Full record

ArticlePloS one2013

Impact of vaccination on 14 high-risk HPV type infections: a mathematical modelling approach.

Simopekka Vänskä, Kari Auranen, Tuija Leino, Heini Salo, Pekka Nieminen, Terhi Kilpi, Petri Tiihonen, Dan Apter, Matti Lehtinen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 35 citations in OpenAlex.

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  16. Papillomaviruses: Viral evolution, cancer and evolutionary medicine.Evolution, medicine, and public health · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Simopekka VänskäDepartment of Vaccination and Immune Protection, National Institute for Health and Welfare (THL), Helsinki, Finland. simopekka.vanska@thl.fi
Kari Auranen
Tuija Leino
Heini Salo
Pekka Nieminen
Terhi Kilpi
Petri Tiihonen
Dan Apter
Matti Lehtinen
Finnish Institute for Health and Welfare · FITampere University · FIHelsinki University Hospital · FIVäestöliitto · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of high-risk human papillomavirus (hrHPV) infection to cervical cancer is a complicated process. We considered solely hrHPV infections, thus avoiding the confounding effects of disease progression, screening, and treatments. To analyse hrHPV epidemiology and to estimate the overall impact of vaccination against infections with hrHPVs, we developed a dynamic compartmental transmission model for single and multiple infections with 14 hrHPV types. The infection-related parameters were estimated using population-based sexual behaviour and hrHPV prevalence data from Finland. The analysis disclosed the important role of persistent infections in hrHPV epidemiology, provided further evidence for a significant natural immunity, and demonstrated the dependence of transmission probability estimates on the model structure. The model predicted that vaccinating girls at 80% coverage will result in a 55% reduction in the overall hrHPV prevalence and a higher 65% reduction in the prevalence of persistent hrHPV infections in females. In males, the reduction will be 42% in the hrHPV prevalence solely by the herd effect from the 80% coverage in girls. If such high coverage among girls is not reached, it is still possible to reduce the female hrHPV prevalence indirectly by the herd effect if also boys are included in the vaccination program. On the other hand, any herd effects in older unvaccinated cohorts were minor. Limiting the epidemiological model to infection yielded improved understanding of the hrHPV epidemiology and of mechanisms with which vaccination impacts on hrHPV infections.

Indexed as

VaccinationAdolescentAdultAgedAlgorithmsChildFemaleFinlandHumansMaleMiddle AgedModels, TheoreticalPapillomaviridaePapillomavirus InfectionsPapillomavirus VaccinesPrevalencePapillomavirus Vaccines

Identifiers

PMID24009669
PMCPMC3756967
OpenAlexW2034034451

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.