Related Experiment Video
Updated: Jun 25, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Trials of prostate-cancer screening are not worthwhile
1University Medical Centre, Department of Primary Medical Care, Hamburg, Germany.
Abstract:
About 3% of men in developed countries die from prostate cancer. No conclusive evidence, however, either supports or refutes the benefit of prostate-cancer screening. More than 200 000 participants are needed for a screening study with prostate-cancer-specific death as the endpoint. A relative reduction in prostate-cancer mortality of 25% leads to a decrease in absolute risk of less than 1%-a difference of 75 individuals between the control and screening group. Participant non-compliance and small inaccuracies in attributing cause of death need to be compensated for in study size, requiring several million participants. Screening trials with insufficient sample sizes might show a lowering of cancer-specific mortality but not detect increases in all-cause mortality related to screening. Studies of a manageable size have too little discriminatory power and last a long time. Furthermore, results become available decades after trial initiation, by which time they are probably antiquated. Whether screening for prostate cancer is beneficial cannot be assessed in trials, a statement that might also be true for other diseases with low specific mortality.
Related Concept Videos
Disorders of the Male Reproductive System
Prostate disorders are another major concern. These conditions can impair urinary flow due to the prostate's location around the urethra. Symptoms...
Testing a Claim about Population Proportion
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...
