Evidence map›Paper›PMID 25642941›Full record

ArticlePloS one2015

The role of acquired immunity in the spread of human papillomavirus (HPV): explorations with a microsimulation model.

Suzette M Matthijsse, Joost van Rosmalen, Jan A C Hontelez, Roel Bakker, Inge M C M de Kok, Marjolein van Ballegooijen, Sake J de Vlas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Human papillomavirus (HPV) vaccination in women with conisation.The Cochrane database of systematic reviews · 2025
    Pooled it
  2. Pooled it
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  11. The Differential Risk of Cervical Cancer in HPV-Vaccinated and -Unvaccinated Women: A Mathematical Modeling Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  12. [Trajectory modeling for estimating the trend of human papillomavirus infection status among men who have sex with men].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2018
    Article
  13. Article
  14. Recurring infection with ecologically distinct HPV types can explain high prevalence and diversity.Proceedings of the National Academy of Sciences of the United States of America · 2017
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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

7 authors at 1 institution in 1 country.

Suzette M MatthijsseDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Joost van RosmalenDepartment of Biostatistics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Jan A C HontelezDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Roel BakkerDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Inge M C M de KokDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Marjolein van BallegooijenDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Sake J de VlasDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Erasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of the natural history of human papillomavirus (HPV), in particular the role of immunity, is crucial in estimating the (cost-) effectiveness of HPV vaccination and cervical cancer screening strategies, because naturally acquired immunity after clearing an infection may already protect part of the risk population against new HPV infections.

methodsWe used STDSIM, an established stochastic microsimulation model, quantified to the Netherlands. We explored different assumptions regarding the natural history of HPV-16 and HPV-18, and estimated the transmission probabilities and durations of acquired immunity necessary to reproduce age-specific prevalence.

resultsA model without acquired immunity cannot reproduce the age-specific patterns of HPV. Also, it is necessary to assume a high degree of individual variation in the duration of infection and acquired immunity. According to the model estimates, on average 20% of women are immune for HPV-16 and 15% for HPV-18. After an HPV-16 infection, 50% are immune for less than 1 year, whereas 20% exceed 30 years. For HPV-18, up to 12% of the individuals are immune for less than 1 year, and about 50% over 30 years. Almost half of all women will never acquire HPV-16 or HPV-18.

conclusionsAcquired immunity likely plays a major role in HPV epidemiology, but its duration shows substantial variation. Combined with the lifetime risk, this explains to a large extent why many women will never develop cervical cancer.

Indexed as

Adaptive ImmunityModels, BiologicalAdolescentAdultChlamydia InfectionsFemaleHuman papillomavirus 16Human papillomavirus 18HumansMaleMiddle AgedPapillomavirus InfectionsStochastic ProcessesUterine Cervical NeoplasmsYoung Adult

Identifiers

PMID25642941
PMCPMC4314063
OpenAlexW1969148341

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.