Influence of Study Features and Methods on Overdiagnosis Estimates in Breast and Prostate Cancer Screening
Ruth Etzioni, PhD; Roman Gulati, MS; Leslie Mallinger, MPH; and Jeanne Mandelblatt, MD, MPH
Source: Ann Intern Med. 2013;158(11):831-838. doi:10.7326/0003-4819-158-11-201306040-00008
Knowledge
of the likelihood that a screening-detected case of cancer has been
overdiagnosed is vitally important to make treatment decisions and
develop screening policy. An overdiagnosed case is an excess case
detected by screening. Estimates of the frequency of overdiagnosis in
breast and prostate cancer screening vary greatly across studies. This
article identifies features of overdiagnosis studies that influence
results and shows their effect by using published research. First,
different ways to define and measure overdiagnosis are considered.
Second, contextual features and how they affect overdiagnosis estimates
are examined. Third, the effect of estimation approach is discussed.
Many studies use excess incidence under screening as a proxy for
overdiagnosis. Others use statistical models to make inferences about
lead time or natural history and then derive the corresponding fraction
of cases that are overdiagnosed. This article concludes with questions
that readers of overdiagnosis studies can use to evaluate the validity
and relevance of published estimates and recommends that authors of
studies quantifying overdiagnosis provide information about these
features.
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