Evidence map›Paper›PMID 41416470›Full record

ArticleEuropean journal of public health2026

A method of estimating cervical cancers prevented by the introduction of national screening in Ireland.

David Robert Grimes, Aline Brennan, Cathal Walsh

Abstract read
In one paragraph

Article in European journal of public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

David Robert GrimesTCD Biostatistics Unit, Discipline of Public Health and Primary Care, School of Medicine, Trinity College Dublin, Dublin, D24 DH74, Ireland.
Aline BrennanNational Cancer Registry Ireland, Cork Airport Business Park, Kinsale Road, Cork, T12 CDF7, Ireland.
Cathal WalshTCD Biostatistics Unit, Discipline of Public Health and Primary Care, School of Medicine, Trinity College Dublin, Dublin, D24 DH74, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer screening is a life-saving endeavour. The introduction of an organized population-based national screening programmes has potential to both reduce incidence of cervical cancer in an asymptomatic population and detect early-stage cancers for accelerated treatment. A methodology for estimating cancers prevented by such programmes has immediate utility. This work derives a model for estimating cancer prevented by screening, applied to data from Ireland's organized national cervical screening programme since its introduction in August 2008 to August 2022. A novel Markov-chain model for human papilloma virus (HPV) induced cervical cancer was derived with realistic transition probabilities validated against literature estimates. Data from the Irish National Screening Programme (CervicalCheck) and from the National Cancer Registry of Ireland (NCRI) was applied to estimate the number of cancers prevented by screening, changes in Irish cancer detection since the implementation of screening, and treatment costs saved by screening. Since its inception in 2008, the modelling in this work suggests that CervicalCheck has prevented an estimated 5557 cancers (95% confidence interval: 5114-6000 cancers) and saved €102 million in future treatment costs (95% confidence interval: €94-110 million) not including inflation costs. Additionally, 48.8% (95% confidence interval: 41.4%-56.2%) of all cervical cancers in Ireland have been detected through screening between 2008 and 2022. National screening in Ireland has been highly effective at reducing future cervical cancers, and detecting asymptomatic cancers. The model outlined here has direct future applicability for the assessment of national and regional cervical cancer screening programmes.

Indexed as

Early Detection of CancerMass ScreeningUterine Cervical NeoplasmsAdultAgedFemaleHumansIncidenceIrelandMarkov ChainsMiddle AgedPapillomavirus InfectionsRegistries

Identifiers

PMID41416470
PMCPMC13064528

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