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

Created on 10 Aug 2026

Authors

Andrew J Vickers, Veeru Kasivisvanathan, Adam R Brentnall

Published in

International journal of cancer. Aug 09, 2026. Epub Aug 09, 2026.

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.

PMID:
42572363
Bibliographic data and abstract were imported from PubMed on 10 Aug 2026.

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