Evidence map›Paper›PMID 30944092›Full record

ArticleBMJ (Clinical research ed.)2019

Prevalence of cervical disease at age 20 after immunisation with bivalent HPV vaccine at age 12-13 in Scotland: retrospective population study.

Tim Palmer, Lynn Wallace, Kevin G Pollock, Kate Cuschieri, Chris Robertson, Kim Kavanagh, Margaret Cruickshank

Open access · bronzeAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 8 pooled it
24.4field-weighted citation impact, top 1% of its field
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

114 citing papers in PubMed, 8 syntheses or guidelines pooled it, 236 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Risk of Guillain-Barré syndrome after vaccination against human papillomavirus: a systematic review and meta-analysis, 1 January 2000 to 4 April 2020.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Pooled it
  8. Pooled it
  9. Trial
  10. Trial
  11. Trial
  12. Trial
  13. Trial
  14. Article
  15. Article
  16. Article
  17. How to evaluate and select cervical screening and triage tests in vaccinated populations.Journal of the National Cancer Institute. Monographs · 2026
    Article
  18. Review
  19. Article
  20. Article

54 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

Tim PalmerDepartment of Pathology, University of Edinburgh, Edinburgh, UK timothy.palmer@nhs.net.ORCID http://orcid.org/0000-0002-3789-1332
Lynn WallaceInformation Services Division, NHS Scotland, Glasgow, UK.
Kevin G PollockHealth Protection Scotland, Glasgow, UK.
Kate CuschieriScottish Human Papillomavirus Reference Laboratory, Royal Infirmary of Edinburgh, Edinburgh, UK.
Chris RobertsonHealth Protection Scotland, Glasgow, UK.
Kim KavanaghDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
Margaret CruickshankInstitute of Applied Health Services, University of Aberdeen, Aberdeen, UK.
University of Strathclyde · GBEdinburgh Royal Infirmary · GBGlasgow Caledonian University · GBNational Health Service Scotland · GBNHS Lothian · GBUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo quantify the effect on cervical disease at age 20 years of immunisation with bivalent human papillomavirus (HPV) vaccine at age 12-13 years.

designRetrospective population study, 1988-96.

settingNational vaccination and cervical screening programmes in Scotland.

participants138 692 women born between 1 January 1988 and 5 June 1996 and who had a smear test result recorded at age 20.

main outcome measuresEffect of vaccination on cytology results and associated histological diagnoses from first year of screening (while aged 20), calculated using logistic regression.

results138 692 records were retrieved. Compared with unvaccinated women born in 1988, vaccinated women born in 1995 and 1996 showed an 89% reduction (95% confidence interval 81% to 94%) in prevalent cervical intraepithelial neoplasia (CIN) grade 3 or worse (from 0.59% (0.48% to 0.71%) to 0.06% (0.04% to 0.11%)), an 88% reduction (83% to 92%) in CIN grade 2 or worse (from 1.44% (1.28% to 1.63%) to 0.17% (0.12% to 0.24%)), and a 79% reduction (69% to 86%) in CIN grade 1 (from 0.69% (0.58% to 0.63%) to 0.15% (0.10% to 0.21%)). Younger age at immunisation was associated with increasing vaccine effectiveness: 86% (75% to 92%) for CIN grade 3 or worse for women vaccinated at age 12-13 compared with 51% (28% to 66%) for women vaccinated at age 17. Evidence of herd protection against high grade cervical disease was found in unvaccinated girls in the 1995 and 1996 cohorts.

conclusionsRoutine vaccination of girls aged 12-13 years with the bivalent HPV vaccine in Scotland has led to a dramatic reduction in preinvasive cervical disease. Evidence of clinically relevant herd protection is apparent in unvaccinated women. These data are consistent with the reduced prevalence of high risk HPV in Scotland. The bivalent vaccine is confirmed as being highly effective vaccine and should greatly reduce the incidence of cervical cancer. The findings will need to be considered by cervical cancer prevention programmes worldwide.

Indexed as

VaccinationEarly DiagnosisFemaleHumansPapillomavirus InfectionsPapillomavirus VaccinesPrevalenceRetrospective StudiesScotlandTreatment OutcomeUterine Cervical DysplasiaUterine Cervical NeoplasmsYoung AdultPapillomavirus Vaccines

Identifiers

PMID30944092
PMCPMC6446188
OpenAlexW2929070495

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.