Evidence map›Paper›PMID 25979280›Full record

ArticleEpidemics2015

Impact of coverage-dependent marginal costs on optimal HPV vaccination strategies.

Marc D Ryser, Kevin McGoff, David P Herzog, David J Sivakoff, Evan R Myers

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Mechanistic mathematical models: An underused platform for HPV research.Papillomavirus research (Amsterdam, Netherlands) · 2017
    Review
  7. Including males in Canadian human papillomavirus vaccination programs: a policy analysis.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2016
    Article
  8. 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
    Article
  9. Review
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.

Marc D RyserDepartment of Mathematics, Duke University, Durham, NC 27708, USA. Electronic address: ryser@math.duke.edu.
Kevin McGoffDepartment of Mathematics, Duke University, Durham, NC 27708, USA.
David P HerzogDepartment of Mathematics, Drake University, Des Moines, IA 50311, USA.
David J SivakoffDepartment of Statistics, The Ohio State University, Columbus, OH 43210, USA; Department of Mathematics, The Ohio State University, Columbus, OH 43210, USA.
Evan R MyersDepartment of Obstetrics and Gynecology, Duke University Medical School, Durham, NC 27708, USA.

Funding

Mathematical Models of Cancer Initiation, Progression, and Resistance to TherapyR01GM096190 · NIGMS · DUKE UNIVERSITY · PI DURRETT, RICK · 2010 to 2013
$1.4M
NIGMS NIH HHS R01 GM096190
6 · The paper itself

Abstract

The effectiveness of vaccinating males against the human papillomavirus (HPV) remains a controversial subject. Many existing studies conclude that increasing female coverage is more effective than diverting resources into male vaccination. Recently, several empirical studies on HPV immunization have been published, providing evidence of the fact that marginal vaccination costs increase with coverage. In this study, we use a stochastic agent-based modeling framework to revisit the male vaccination debate in light of these new findings. Within this framework, we assess the impact of coverage-dependent marginal costs of vaccine distribution on optimal immunization strategies against HPV. Focusing on the two scenarios of ongoing and new vaccination programs, we analyze different resource allocation policies and their effects on overall disease burden. Our results suggest that if the costs associated with vaccinating males are relatively close to those associated with vaccinating females, then coverage-dependent, increasing marginal costs may favor vaccination strategies that entail immunization of both genders. In particular, this study emphasizes the necessity for further empirical research on the nature of coverage-dependent vaccination costs.

Indexed as

Human papillomavirus 16AdolescentCohort StudiesCost-Benefit AnalysisFemaleHealth Care RationingHumansImmunization ProgramsMalePapillomavirus InfectionsPapillomavirus VaccinesPapillomavirus VaccinesHuman papillomavirus vaccinationMale HPV vaccinationMarginal distribution costsOptimal vaccine distributionStochastic agent-based models

Identifiers

PMID25979280
PMCPMC4433716

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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.