Too much medicine; too little care.

A growing frustration in clinical medicine is that we are now so busy managing the proliferation of risk factors, “incidentalomas,” and the worried well that we lack the time to care properly for those who are seriously ill. As the definitions of common conditions such as diabetes and kidney disease have expanded and the categories and boundaries of mental disorders have grown, our time and attention for the most worryingly ill, disturbed, and vulnerable patients has shrunk. Too much medicine is harming both the sick and well. Much of the growth in apparent illness has escaped public attention. One striking example is the tripling of the incidence of thyroid cancer in the United States, Australia, and elsewhere between 1975 and 2012, 3 during which time the death rate did not change. This dramatic rise is best explained by increased testing and improved diagnostic tools, rather than a real change in cancer incidence. It has been described as an epidemic of diagnosis rather than a true epidemic. Similar “epidemics” have occurred in conditions where there has been active screening, such as breast cancer and prostate cancer. 5 But perhaps the most important expansion in illness has been where disease definitions have changed and the dividing line between normal and abnormal has shifted. This has occurred with hypertension, diabetes, osteoporosis, high cholesterol, obesity, and cognitive impairment. Small changes in the boundaries can greatly expand the proportion of the population labelled as having disease (box). Of course, some newly diagnosed and treated “patients” will benefit, but others will experience the adverse effects of unneeded treatment and the anxiety and stigma caused by disease labels. Given the consequences and costs for healthcare and the impact on patients, there has been far too little discussion and debate of the pros and cons of how we detect and define disease. To further the debate, this issue of the BMJ includes the first in an intermittent series of Analysis articles looking at the risks and harms of overdiagnosis in a broad range of common conditions. The article byWeiner and colleagues on pulmonary embolism (doi:10.1136/bmj.f3368) shows how the introduction of a new diagnostic technology, computed tomography pulmonary angiography, has been associated with an 80% rise in the detection of pulmonary emboli, many of which, the authors argue, don’t need to be found. The series, together with the Preventing Overdiagnosis conference in September (www. preventingoverdiagnosis.net), is part of the BMJ’s Too Much Medicine campaign (www.bmj.com/too-much-medicine). Future articles will look at chronic kidney disease, dementia, attention deficit hyperactivity disorder, chronic obstructive pulmonary disease, depression, and thyroid cancer, and we welcome suggestions for other conditions to cover. The series aims to promote understanding of how and why the apparent prevalence of disease has changed; the consequences for clinicians, patients, and policy makers; and how we might better deal with the risks and harms of overdiagnosis. Articles will also look at the limitations of the evidence for overdiagnosis and the research and policy agenda. A key question is how disease definitions are changed and by whom. Currently, there are no agreed standards for the constitution of panels that review or alter the definitions of diseases, including the mix of expertise represented and the methods to manage conflicts of interest. Nor are there clear criteria for when it is reasonable to change disease definitions. Such criteria should be sensitive to the need to balance potential health gains against the potential downsides of labelling, testing, and treating many more people. The recent controversy over the changes from DSM-IV (fourth edition of the Diagnostic and StatisticalManual ofMental Disorders) to DSM-5 illustrates the case for debating internationally agreed processes. Meanwhile, what can clinicians do to minimise overdiagnosis? Besides maintaining healthy levels of scepticism about changing thresholds for defining disease and the use of “more sensitive” tests are strategies that may help.