Evidence map›Paper›PMID 39529531›Full record

ArticleJournal of the National Cancer Institute. Monographs2024

Population-level impact of switching to 1-dose human papillomavirus vaccination in high-income countries: examining uncertainties using mathematical modeling.

Marc Brisson, Jean-François Laprise, Mélanie Drolet, Éléonore Chamberland, Élodie Bénard, Emily A Burger, Mark Jit, Jane J Kim, Lauri E Markowitz, Chantal Sauvageau and 1 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Marc BrissonDépartement de Médecine Sociale et Préventive, Université Laval, Québec, Québec, Canada.ORCID 0000-0003-3912-6447
Jean-François LapriseCentre de Recherche du CHU de Québec - Université Laval, Québec, Québec, Canada.ORCID 0009-0009-7938-1400
Mélanie DroletCentre de Recherche du CHU de Québec - Université Laval, Québec, Québec, Canada.
Éléonore ChamberlandCentre de Recherche du CHU de Québec - Université Laval, Québec, Québec, Canada.
Élodie BénardDépartement de Médecine Sociale et Préventive, Université Laval, Québec, Québec, Canada.
Emily A BurgerCenter for Health Decision Science, Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-6657-5849
Mark JitCentre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-6658-8255
Jane J KimCenter for Health Decision Science, Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Lauri E MarkowitzNational Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Chantal SauvageauDépartement de Médecine Sociale et Préventive, Université Laval, Québec, Québec, Canada.ORCID 0000-0002-4300-1658
Stephen SyCenter for Health Decision Science, Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Canadian Institute of Health Research Foundation FDN-143283Gates Foundation OPP48979Single-Dose HPV vaccine consortium - PATH
6 · The paper itself

Abstract

backgroundA concern in high-income countries is that switching to 1-dose human papillomavirus (HPV) vaccination could cause a rebound in HPV infection and cervical cancer if 1-dose efficacy or duration were inferior to 2 doses. Using mathematical modeling and up-to-date trial-based data, we projected the population-level effectiveness of switching from 2-dose to 1-dose vaccination under different vaccine efficacy and duration assumptions in high-income countries.

methodsWe used HPV-ADVISE (Agent-based Dynamic model for VaccInation and Screening Evaluation), a transmission-dynamic model of HPV infection and cervical cancer, varying key model assumptions to identify those with the greatest impact on projections of HPV-16 and cervical cancer incidence over time: 1) 1-dose vaccine efficacy and vaccine duration, 2) mechanisms of vaccine efficacy and duration over time, 3) midadult (>30 years of age) sexual behavior, 4) progression to cervical cancer among midadults, and 5) vaccination coverage and programs.

resultsIn high-income countries, 1-dose vaccination would cause no appreciable rebound in HPV-16 infection, except for a limited rebound under the most pessimistic assumptions of vaccine duration (average, 25 years), because 1) the switch would occur when HPV prevalence is low because of high 2-dose vaccination coverage and 2) individuals would be protected during their peak ages of sexual activity (<35 to 40 years of age). Our model projects a more limited rebound in cervical cancer because of a shift to older age at infection, resulting in fewer life-years left to potentially develop cancer. Projections were robust when varying key model assumptions.

conclusionsHigh protection during peak ages of sexual activity in high-income countries would likely mitigate any potential rebounds in HPV infection and cervical cancer under the most pessimistic assumptions of 1-dose efficacy and duration.

Indexed as

Developed CountriesModels, TheoreticalPapillomavirus InfectionsPapillomavirus VaccinesUterine Cervical NeoplasmsAdolescentAdultFemaleHuman papillomavirus 16Human Papillomavirus VirusesHumansIncidenceUncertaintyVaccinationVaccine EfficacyYoung AdultPapillomavirus Vaccines

Identifiers

PMID39529531
PMCPMC11555275

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LicenceCC BY
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Registered trials

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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.