Invited Commentary: Beyond Overdiagnosis-Diagnosis Without Benefit

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Abstract

In an accompanying article, Hofmann (Am J Epidemiol. 2019;188(10):1812-1817) seeks to clarify the concept of overdiagnosis by screening. He makes a helpful suggestion to reconnect diagnosis with patient suffering, pointing out the underlying issue in overdiagnosis of prognostic uncertainty. He then divides prognostic uncertainty into developmental and progression uncertainty, using a categorical model of disease progression through indicators to manifest disease. This model could be improved by considering the heterogeneity of patient-condition combinations. This leads to an understanding of the probabilistic nature of the connection between any indicator in a specific individual and patient suffering. The model also needs to consider the time span over which the patient-condition combination leads to patient suffering. I propose a simpler approach that goes further to focus not only on overdiagnosis but also on the broader problem of diagnosis without benefit and diagnosis without net benefit. This makes measurement easier and focuses attention where it belongs: on the harm caused by overly aggressive screening programs.

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Harris, R. P. (2019, October 1). Invited Commentary: Beyond Overdiagnosis-Diagnosis Without Benefit. American Journal of Epidemiology. Oxford University Press. https://doi.org/10.1093/aje/kwz145

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