Evidence map›Paper›PMID 42572363›Full record

ArticleInternational journal of cancer2026

Effect of Implementing Population-Based Prostate-Specific Antigen Screening on Testing Rates and Prostate Cancer Overdiagnosis in England: A Statistical Modelling Study.

Andrew J Vickers, Veeru Kasivisvanathan, Adam R Brentnall

Abstract read
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In one paragraph

Article in International journal of cancer, 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Andrew J VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID https://orcid.org/0000-0003-1525-6503
Veeru KasivisvanathanDivision of Surgery and Interventional Science, University College London, London, UK.
Adam R BrentnallWolfson Institute of Population Health, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0001-6327-4357

Funding

National Institutes of Health/National Cancer Institute P30 CA008748National Institutes of Health/National Cancer Institute P50-CA92629
6 · The paper itself

Abstract

We undertook a statistical modeling study to determine the effect of implementing population-based prostate-specific antigen (PSA) screening in England on overdiagnosis and PSA testing rates in comparison with the current opportunistic testing policy. Our model merged English data on life expectancy, rates of PSA testing and incidence of prostate cancer by stage with epidemiological data on lead time. In the base scenario, introduction of population-based screening led to an approximate 25% reduction in both PSA testing and overdiagnosis in the population compared with the current policy. This was due to the anticipated decrease in PSA testing and overdiagnosis in men aged 70+ years being larger than the projected increase in PSA testing and overdiagnosis in men 50-69 years. The overall incidence of early-stage prostate cancer was similar. Population-based screening was found to detect more early-stage cancers that were not overdiagnosed, and is therefore likely to have a greater impact on prostate-cancer mortality than current policy. Findings were robust in sensitivity analyses including an entirely independent modeling approach based on the UK Cluster Randomized Trial of PSA Testing for Prostate Cancer (CAP). In conclusion, opportunistic screening policies in England have led to high rates of overdiagnosis and PSA testing. A risk-adapted, population-based prostate cancer screening program would likely reduce the number of PSA tests and overdiagnoses, and increase benefits of PSA testing from reduced prostate-cancer mortality. Population health in England would be improved by adopting an organized PSA screening program and policies to reduce opportunistic PSA testing.

Indexed as

overdiagnosisprostate cancerPSAscreeningstatistical modeling

Identifiers

PMID42572363

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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.