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By analysing a theoretical cohort, Duffy and Parmar [1] find 0% overdiagnosis when screening for breast cancer in the UK. The fundamental assumption in their calculation is that the average lead time is 40 months, and this estimate relies on a method proposed by Walter and Day [2] for calculating lead time.  Clinical lead time and statistical lead time are two fundamentally different concepts. Clinical lead time is the time diagnosis of a clinical relevant disease is moved by screening [3]. Statistical lead time is the time diagnosis is being moved by screening when all tumours grow and there are no competing causes of death [2]. It is a theoretical concept including both clinical cancers that are detected earlier and overdiagnosed tumours. Statistical lead time for breast cancer varies between 2 and 7 years (depending on the level of overdiagnosis), while the clinical lead time is about 1 year [3]. If you adjust the incidence increase when screening for statistical lead time, it will always give estimates of overdiagnosis close to zero because you subtract all clinical cancers that are diagnosed earlier as well as all overdiagnosed cancers from the incidence increase during screening [3].  In my opinion, the authors incorrectly assume that lead time is 40 months and postulate an 86% reduction in breast cancer rate between the first two screening rounds [1]. The literature on estimates of breast cancer rates between two screening rounds (so-called interval cancer rate), which reflects the clinical lead time, reports that the decline was 48% based on a small data set [4] and close to 0% in a large British data set [5]. Tables two and three in [1] do not represent real breast cancer data. It is a constructed data set that, by definition, yields 0% overdiagnosis.  Ten years after screening they postulate a 7% reduction in incidence. However, after 20 years with overdiagnosis and overtreatment, a small reduction in breast cancer incidence is expected simply because many healthy women have lost their breast and are using anti-oestrogens, both of which reduce the numbers of women at risk of breast cancer. The reduction is not the effect of early diagnosis but of overtreatment or, at best, what could be called prophylactic treatment.  Finally in Table four in [1], the authors argue that the level of overdiagnosis adjusted for statistical lead time varies with length of screening as well as the length of follow-up after last screening (because the denominator varies). This is actually an argument for not using this method. Overdiagnosis adjusted for clinical lead time is insensitive to these effects [3].

Adjusting the incidence increase when screening for statistical lead time will always give estimates of overdiagnosis close to zero