Medical classification systems aim to provide a manageable taxonomy for sorting diagnoses into their proper classes. The question, this paper wants to critically examine, is how to correctly systematise diseases within classification systems that are applied in a variety of different settings. ICD and DSM , the two major classification systems in medicine and psychiatry, will be the main subjects of this paper; however, the arguments are not restricted to these classification systems but point out general methodological and epistemological challenges (...) of classifying diseases for differing purposes. Deciding what qualifies as a disease to be included into a classification system as well as choosing a specific validator for correctly systematising diseases is complicated because the broad applicability of medical classification systems simultaneously appears as aim and challenge. Drawing upon the case study of classifying Alzheimer’s disease, this paper will address three dilemmas in designing ‘good’ medical classification systems. They are due to general epistemological problems of medicine, such as the relationship between individual manifestations of diseases and the necessity of building groups in order to scientifically elucidate causes of diseases. Moreover, they involve pragmatic issues of designing usable classifications that allow for easily discriminating between classes of diseases, restricting, however, the completeness of disease representations. This paper wants to trace how the choice of certain validators is unavoidably value-laden and deeply intertwined with epistemological assumptions of how different uses relate to each other, resulting either in a prioritisation of (constrained) coherence or of (vague) pluralistic connectibility. (shrink)

Next SectionThe current focus on early intervention trials in Alzheimer's disease research raises particular ethical issues. These arise out of problems of validating study results and translating them into general practice for one thing and out of unwanted effects of an uncertain diagnosis for diagnosed people for another. The first addresses the demands of scientific research compared to those of medical practice, questioning how the medical value of clinical trials is evaluated. The second relates the scientific and medical value of (...) early intervention trials to the normative value of an uncertain diagnosis. Are people who are diagnosed with a potential early form of AD in clinical studies patients proper—although they would not have been diagnosed with the given “disease” in non-research-oriented medical settings? The very problem of framing this question in terms of diagnostic misconceptions connects conceptual with ethical issues of research into preclinical stages of neurodegenerative diseases. (shrink)

Medicine in a Neurocentric World: About the Explanatory Power of Neuroscientific Models in Medical Research and Practice Content Type Journal Article Category Editorial Notes Pages 307-313 DOI 10.1007/s12376-009-0036-2 Authors Lara Huber, University Medical Center of the Johannes Gutenberg University Mainz Institute for History, Philosophy and Ethics of Medicine Am Pulverturm 13 55131 Mainz Germany Lara K. Kutschenko, University Medical Center of the Johannes Gutenberg University Mainz Institute for History, Philosophy and Ethics of Medicine Am Pulverturm 13 55131 Mainz Germany Journal (...) Medicine Studies Online ISSN 1876-4541 Print ISSN 1876-4533 Journal Volume Volume 1 Journal Issue Volume 1, Number 4. (shrink)