Related Experiment Videos
Effect of Implementing Population-Based Prostate-Specific Antigen Screening on Testing Rates and Prostate Cancer
Andrew J Vickers1, Veeru Kasivisvanathan2,3, Adam R Brentnall4
1Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
International Journal of Cancer
|August 10, 2026
Summary
Implementing population-based prostate-specific antigen (PSA) screening in England could significantly reduce PSA testing and overdiagnosis by approximately 25%. This organized approach is likely to improve population health and reduce prostate cancer mortality compared to current opportunistic policies.
Area of Science:
- Oncology
- Public Health
- Health Services Research
Background:
- Current opportunistic prostate-specific antigen (PSA) testing policies in England are associated with high rates of PSA testing and prostate cancer overdiagnosis.
- Overdiagnosis leads to unnecessary treatments and patient anxiety without improving health outcomes.
Purpose of the Study:
- To statistically model the impact of implementing population-based PSA screening in England.
- To compare population-based screening with the current opportunistic testing policy regarding overdiagnosis and PSA testing rates.
- To evaluate the potential effect of organized screening on prostate cancer mortality.
Main Methods:
- Statistical modeling study integrating English epidemiological data (life expectancy, PSA testing rates, prostate cancer incidence by stage) and lead time data.
- Base scenario modeling to assess outcomes of population-based screening versus current policy.
- Sensitivity analyses using an independent modeling approach based on the UK Cluster Randomized Trial of PSA Testing for Prostate Cancer (CAP).
Main Results:
- Population-based screening is projected to reduce PSA testing and overdiagnosis by approximately 25% compared to the current opportunistic policy.
- This reduction is driven by a larger decrease in testing and overdiagnosis in men aged 70+ years outweighing increases in men aged 50-69 years.
- Population-based screening detects more early-stage cancers without overdiagnosis, potentially leading to greater reductions in prostate cancer mortality.
Conclusions:
- Opportunistic PSA screening in England results in high testing and overdiagnosis rates.
- A risk-adapted, population-based prostate cancer screening program could decrease PSA tests and overdiagnoses while enhancing the benefits of reduced prostate cancer mortality.
- Adopting an organized PSA screening program and policies to curb opportunistic testing would improve population health in England.
Related Concept Videos
Cancer Survival Analysis
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Testing a Claim about Population Proportion
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...