Evidence map›Paper›PMID 39798139›Full record

ArticleJournal of the National Cancer Institute2025

Disparities in cervical cancer elimination time frames in the United States: a comparative modeling study.

Emily A Burger, Erik E L Jansen, Daniël de Bondt, James Killen, Jennifer C Spencer, Mary Caroline Regan, Megan A Smith, Stephen Sy, Karen Canfell, Inge M C M de Kok and 2 more

Abstract readComparative Study
In one paragraph

Article in Journal of the National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Observational
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

12 authors.

Emily A BurgerCenter for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States.ORCID 0000-0002-6657-5849
Erik E L JansenDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, Netherlands.ORCID 0000-0003-0436-6918
Daniël de BondtDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, Netherlands.ORCID 0009-0009-1522-3489
James KillenThe Daffodil Centre, University of Sydney, A Joint Venture with Cancer Council NSW, Sydney 2011, Australia.ORCID 0000-0002-0599-3000
Jennifer C SpencerDepartment of Population Health, Dell Medical School, University of Texas at Austin, Austin, TX 78712, United States.ORCID 0000-0001-9508-1525
Mary Caroline ReganCenter for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States.ORCID 0009-0003-7637-6194
Megan A SmithThe Daffodil Centre, University of Sydney, A Joint Venture with Cancer Council NSW, Sydney 2011, Australia.
Stephen SyCenter for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States.ORCID 0000-0001-8090-3768
Karen CanfellThe Daffodil Centre, University of Sydney, A Joint Venture with Cancer Council NSW, Sydney 2011, Australia.ORCID 0000-0002-6443-6618
Inge M C M de KokDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, Netherlands.ORCID 0000-0002-9419-0452
Jane J KimCenter for Health Decision Science, Harvard T. H. Chan School of Public Health, Boston, MA 02115, United States.
Jan A C HontelezDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam 3015 GD, Netherlands.ORCID 0000-0002-9323-7861

Funding

Comparative Modeling to Inform Cervical Cancer Control PoliciesU01CA199334 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI BARNABAS, RUANNE VANESSA, CANFELL, KAREN · 2015 to 2019
$6.4M
NCI NIH HHS U01 CA199334NCI NIH HHS U01CA199334Norwegian Cancer Society #198073
6 · The paper itself

Abstract

Population-level estimates in time frames for reaching cervical cancer elimination (ie, <4 cases per 100 000 women) in the United States may mask potential disparities in achieving elimination among subpopulations. We used 3 independent Cancer Intervention and Surveillance Modeling Network models to estimate differences in the time to cervical cancer elimination across 7 strata of correlated screening and human papillomavirus vaccination uptake, based on national survey data. Compared with the average population, elimination was achieved at least 22 years earlier for the high-uptake strata and at least 27 years later for the most extreme low-uptake strata. Accounting for correlated uptake impacted the population average time frame by no more than 1 year. Consequently, national average elimination time frames mask substantial disparities in reaching elimination among subpopulations. Addressing inequalities in cervical cancer control could shorten elimination time frames and would ensure more equitable elimination across populations. Furthermore, country-level elimination monitoring could be supplemented by monitoring progress in subpopulations.

Indexed as

Healthcare DisparitiesPapillomavirus InfectionsPapillomavirus VaccinesUterine Cervical NeoplasmsAdultEarly Detection of CancerFemaleHumansMiddle AgedTime FactorsUnited StatesPapillomavirus Vaccines

Identifiers

PMID39798139
PMCPMC12229461

What OpenQuestion holds

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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.