Evidence map›Paper›PMID 42022232›Full record

ArticleLancet regional health. Americas2026

Optimal cervical cancer screening strategies for unvaccinated and HPV-vaccinated cohorts in the United States: a comprehensive comparative modeling analysis.

Daniël D de Bondt, Kate T Simms, Emi Naslazi, James Killen, Jane J Kim, Jan A C Hontelez, Emily A Burger, Mary Caroline Regan, Megan A Smith, Stephen Sy and 2 more

Abstract read
In one paragraph

Article in Lancet regional health. Americas, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Daniël D de BondtDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.
Kate T SimmsCancer Elimination Collaboration, Sydney School of Public Health, The University of Sydney, Sydney, Australia.
Emi NaslaziDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.
James KillenCancer Elimination Collaboration, Sydney School of Public Health, The University of Sydney, Sydney, Australia.
Jane J KimCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jan A C HontelezDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.
Emily A BurgerCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Mary Caroline ReganCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Megan A SmithCancer Elimination Collaboration, Sydney School of Public Health, The University of Sydney, Sydney, Australia.
Stephen SyCenter for Health Decision Science, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Karen CanfellCancer Elimination Collaboration, Sydney School of Public Health, The University of Sydney, Sydney, Australia.
Inge M C M de KokDepartment of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adult women in the United States (US) currently comprise a mix of birth cohorts with different human papillomavirus (HPV) vaccination uptake and thus markedly different risks of cervical cancer, while cervical screening recommendations do not currently reflect these differences. We used comparative modeling to determine the optimal screening protocols for these cohorts. Methods: We used three independent models calibrated to US data to simulate three birth cohorts: unvaccinated females born in 1980, females born in 1993 (predominantly offered bivalent/quadrivalent HPV vaccines), and females born in 2003 (predominantly offered nonavalent HPV vaccine). We considered primary cytology, primary HPV testing, and co-testing, and varied the starting age (21-30 years) and screening frequency (three- to ten-yearly), resulting in 92 strategies. Strategies that were on the cost-effectiveness frontier for at least one model and were associated with incremental cost-effectiveness ratios between US$50,000 and US$200,000 per life-year gained were considered optimal; we compared health outcomes, colposcopies, and precancer treatments for these strategies to those estimated under current guidelines. Findings: For all three birth cohorts, optimal screening strategies involved primary HPV testing and decreasing the screening intervals, i.e., five-yearly from age 25 years for the unvaccinated birth cohort, eight-yearly from age 25 for the 1993 cohort, and 10-yearly from age 27 for the 2003 cohort. Interpretation: Primary HPV screening is the optimal approach regardless of vaccine protection exposure but US cervical cancer screening intervals should be extended for vaccinated cohorts to maintain cost-effectiveness. This would reduce harms while remaining more effective than current guidelines in pre-vaccine cohorts. Funding: US National Cancer Institute.

Indexed as

Cervical cancerCervical screeningComparative modelingHPV vaccinationMicrosimulation modeling

Identifiers

PMID42022232
PMCPMC13098602

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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.