Evidence map›Paper›PMID 39841153›Full record

ArticleThe Journal of infectious diseases2025

Population-Based Age-Period-Cohort Analysis of Declining Human Papillomavirus Prevalence.

Penelope Gray, Jiangrong Wang, Sara Nordqvist Kleppe, K Miriam Elfström, Joakim Dillner

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. [Vaccine prevention of HPV-associated diseases].Dermatologie (Heidelberg, Germany) · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Decreases in Human Papillomavirus Vaccine Types 16 and 18 in Cervical Precancers: HPV-IMPACT, 2008 to 2019.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  7. Quality indicators for cervical screening in Sweden.Journal of medical screening · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Observational
  14. Article
  15. Strong Herd Effects of Human Papillomavirus Vaccination.The Journal of infectious diseases · 2025
    Article
  16. Article
  17. 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

5 authors.

Penelope GrayCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet.ORCID 0000-0001-9065-4734
Jiangrong WangCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet.ORCID 0000-0002-0001-503X
Sara Nordqvist KleppeCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet.ORCID 0000-0002-8892-7497
K Miriam ElfströmCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet.ORCID 0000-0002-0514-7226
Joakim DillnerCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and Technology, Karolinska Institutet.ORCID 0000-0001-8588-6506

Funding

ALF RS2021-0855Center for Innovative Medicine (CIIMED 976486EU project Human Exposome Assessment Platform 874662
6 · The paper itself

Abstract

backgroundMost countries in the world have launched human papillomavirus (HPV) vaccination programs, and declining HPV prevalences are reported. We aimed to disentangle the influences of calendar time, birth cohort, and age by analyzing HPV prevalences in the population-based cervical screening program using age-period-cohort modeling.

methodsAll 813 882 primary HPV-based cervical screening tests from women aged 23-64 years between 2014 and 2023 in the capital region of Sweden were identified in the Swedish National Cervical Screening Registry. The odds ratio (OR) of HPV-16/18 infection was estimated comparing birth cohorts to the unvaccinated 1984-born using an age-period-cohort model. The impact of changing HPV prevalences on the number needed to screen (NNS) to detect and prevent 1 cervical cancer case was calculated.

resultsHPV vaccination coverage was 82%-83% among women born in 1999-2000. Before 2019, the HPV-16/18 prevalence was highest among the youngest women. During 2020-2023 the prevalence consistently decreased among the birth cohorts offered organized school-based vaccination. There was a 98% decline in HPV-16 prevalence (OR, 0.02 [95% confidence interval {CI}, .01-.04]) and a 99% decline in HPV-18 prevalence (OR, 0.01 [95% CI, .00-.04]) among the 2000-born compared to the 1984-born. The declining HPV-16/18 prevalences resulted in major increases in the NNS to detect and to prevent 1 case of cervical cancer.

conclusionsThe declines of HPV-16/18 were considerably larger than the vaccination coverage, suggesting herd immunity. The changing epidemiology of HPV types impacts screening needs, necessitating updated screening programs.

Indexed as

Papillomavirus InfectionsAdultAge FactorsCohort StudiesEarly Detection of CancerFemaleHuman papillomavirus 16Human papillomavirus 18Human Papillomavirus VirusesHumansMiddle AgedPapillomavirus VaccinesPrevalenceSwedenUterine Cervical NeoplasmsYoung AdultPapillomavirus Vaccinescervical screeningherd protectionHPVHPV eliminationHPV prevalenceHPV vaccination

Identifiers

PMID39841153
PMCPMC11998575

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.