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Overdiagnosis is the diagnosis of disease that will never cause symptoms or death during a patient's ordinarily expected lifetime [1] and thus presents no practical threat regardless of being pathologic. Overdiagnosis is a side effect of screening for early forms of disease.
Overdiagnosis occurs when all of these people with harmless abnormalities are counted as "lives saved" by the screening, rather than as "healthy people needlessly harmed by overdiagnosis". So it might lead to an endless cycle: the greater the overdiagnosis, the more people will think screening is more effective than it is, which can reinforce ...
Overdiagnosis is the diagnosis of "disease" that will never cause symptoms or death during a patient's lifetime. [9] It is a problem because it turns people into patients unnecessarily and because it can lead to economic waste [10] (overutilization) and treatments that may cause harm. Overdiagnosis occurs when a disease is diagnosed correctly ...
Overscreening is a type of unnecessary health care, so the causes of unnecessary health care are also causes of overscreening. Some causes include financial biases for physicians to recommend more treatment in health care systems using fee-for-service and physician self-referral practices; and physicians' practice of defensive medicine.
Lead time bias occurs if testing increases the perceived survival time without affecting the course of the disease. Lead time bias happens when survival time appears longer because diagnosis was done earlier (for instance, by screening), irrespective of whether the patient lived longer.
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A scary, sobering look at fatal domestic violence in the United States
While some coincidental findings may lead to beneficial diagnoses, others may lead to overdiagnosis that results in unnecessary testing and treatment, sometimes called the "cascade effect". [1] Incidental findings are common in imaging. For instance, around 1 in every 3 cardiac MRIs result in an incidental finding. [2]