Evidence map›Paper›PMID 31505258›Full record

ArticlePapillomavirus research (Amsterdam, Netherlands)2019

HPV-FRAME: A consensus statement and quality framework for modelled evaluations of HPV-related cancer control.

Karen Canfell, Jane J Kim, Shalini Kulasingam, Johannes Berkhof, Ruanne Barnabas, Johannes A Bogaards, Nicole Campos, Chloe Jennett, Monisha Sharma, Kate T Simms and 4 more

Abstract readConsensus Statement
In one paragraph

Article in Papillomavirus research (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Cost-benefit analysis of p16Infectious agents and cancer · 2025
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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

14 authors.

Karen CanfellCancer Research Division, Cancer Council NSW, Sydney, 2011, NSW, Australia; School of Public Health, Sydney Medical School, University of Sydney, NSW, Australia; Prince of Wales Clinical School, University of New South Wales, Sydney, Australia. Electronic address: Karen.Canfell@nswcc.org.au.
Jane J KimDepartment of Health Policy and Management and Center for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Shalini KulasingamSchool of Public Health, University of Minnesota, Twin Cities, USA.
Johannes BerkhofDepartment of Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam, Netherlands.
Ruanne BarnabasDepartment of Global Health, Medicine, and Epidemiology, University of Washington, Seattle, WA, USA.
Johannes A BogaardsDepartment of Epidemiology and Biostatistics, VU University Medical Centre, Amsterdam, Netherlands; Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.
Nicole CamposDepartment of Health Policy and Management and Center for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Chloe JennettCancer Research Division, Cancer Council NSW, Sydney, 2011, NSW, Australia.
Monisha SharmaDepartment of Global Health, Medicine, and Epidemiology, University of Washington, Seattle, WA, USA.
Kate T SimmsCancer Research Division, Cancer Council NSW, Sydney, 2011, NSW, Australia.
Megan A SmithCancer Research Division, Cancer Council NSW, Sydney, 2011, NSW, Australia; School of Public Health, Sydney Medical School, University of Sydney, NSW, Australia.
Louiza S VelentzisCancer Research Division, Cancer Council NSW, Sydney, 2011, NSW, Australia; School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
Marc BrissonCentre de Recherche du CHU de Québec, Université Laval, Axe santé des Populations et Pratiques Optimales en santé, Québec, Canada; Imperial College, Department of Infectious Disease Epidemiology, London, UK.
Mark JitLondon School of Hygiene and Tropical Medicine, London, UK; Modelling and Economics Unit, Public Health England, London, UK.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI EDWIN ROBERTO ORELLANA · 1988 to 2026
$104.9M
NIAID NIH HHS P30 AI027757
6 · The paper itself

Abstract

Intense research activity in HPV modelling over this decade has prompted the development of additional guidelines to those for general modelling. A specific framework is required to address different policy questions and unique complexities of HPV modelling. HPV-FRAME is an initiative to develop a consensus statement and quality-based framework for epidemiologic and economic HPV models. Its development involved an established process. Reporting standards have been structured according to seven domains reflecting distinct policy questions in HPV and cancer prevention and categorised by relevance to a population or evaluation. Population-relevant domains are: 1) HPV vaccination in pre-adolescent and young adolescent individuals; 2) HPV vaccination in older individuals; 3) targeted vaccination in men who have sex with men; 4) considerations for individuals living with HIV and 5) considerations for low- and middle-income countries. Additional considerations applicable to specific evaluations are: 6) cervical screening or integrated cervical screening and HPV vaccination approaches and 7) alternative vaccine types and alternative dosing schedules. HPV-FRAME aims to promote the development of models in accordance with an explicit framework, to better enable target audiences to understand a model's strength and weaknesses in relation to a specific policy question and ultimately improve the model's contribution to informed decision-making.

Indexed as

AdolescentAge FactorsDelivery of Health CareEarly Detection of CancerFemaleHomosexuality, MaleHumansMaleMass ScreeningModels, TheoreticalNeoplasmsPapillomavirus InfectionsPapillomavirus VaccinesUterine Cervical NeoplasmsVaccinationPapillomavirus VaccinesCervical screeningGuidelinesHuman papillomavirusModellingPreventionVaccination

Identifiers

PMID31505258
PMCPMC6804684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.