Evidence map›Paper›PMID 22872732›Full record

ArticleThe Journal of infectious diseases2012

Reevaluation of epidemiological data demonstrates that it is consistent with cross-immunity among human papillomavirus types.

David P Durham, Eric M Poolman, Yoko Ibuka, Jeffrey P Townsend, Alison P Galvani

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  10. Capturing multiple-type interactions into practical predictors of type replacement following human papillomavirus vaccination.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  11. 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
    Article
  12. Article
  13. National- and state-level impact and cost-effectiveness of nonavalent HPV vaccination in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2016
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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

5 authors at 3 institutions in 2 countries.

David P DurhamDepartment of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520-8034, USA. david.durham@yale.edu
Eric M Poolman
Yoko Ibuka
Jeffrey P Townsend
Alison P Galvani
Yale University · USHitotsubashi University · JPOregon Health & Science University · US

Funding

PHS HHS R01A1072706
6 · The paper itself

Abstract

backgroundThe degree of cross-immunity between human papillomavirus (HPV) types is fundamental both to the epidemiological dynamics of HPV and to the impact of HPV vaccination. Epidemiological data on HPV infections has been repeatedly interpreted as inconsistent with cross-immunity.

methodsWe reevaluate the epidemiological data using a model to determine the odds ratios of multiple to single infections expected in the presence or absence of cross-immunity. We simulate a virtual longitudinal survey to determine the effect cross-immunity has on the prevalence of multiple infections. We calibrate our model to epidemiological data and estimate the extent of type replacement following vaccination against specific HPV types.

resultsWe find that cross-immunity can produce odds ratios of infection comparable with epidemiological observations. We show that the sample sizes underlying existing surveys have been insufficient to identify even intense cross-immunity. We also find that the removal of HPV type 16, type 18, and types 6 and 11 would increase the prevalence of nontargeted types by 50%, 29%, and 183%, respectively.

conclusionsCross-immunity between HPV types is consistent with epidemiological data, contrary to previous interpretations. Cross-immunity may cause significant type replacement following vaccination, and therefore should be considered in future vaccine studies and epidemiological models.

Indexed as

Cross ProtectionComputer SimulationFemaleHumansModels, StatisticalPapillomaviridaePapillomavirus Infections

Identifiers

PMID22872732
PMCPMC3448971
OpenAlexW2165974976

What OpenQuestion holds

Textmetadata
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.