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Medical Explanations in Evolutionary Medicine, Network Medicine, and Medically Unexplained Physical Symptoms

机译:进化医学,网络医学和无法解释的身体症状中的医学解释

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摘要

This dissertation is a philosophical exploration of the limits of medical explanations. I examine three case studies to explore these limits: evolutionary medicine, network medicine, and the medically unexplained. Evolutionary medicine and network medicine exemplify modern attempts to develop new explanatory strategies in clinical research and practice. They are burgeoning, nascent fields that challenge our conventional understanding of health and disease. I am critical of the former and optimistic about the latter. I argue that the ultimate explanations posed by evolutionary medicine are pragmatically and epistemically inadequate as medical explanations. Explanations that appeal to our ancestral past are speculative, often based on adaptationist assumptions, and empirically suspect---we cannot rely on them to develop medical interventions. Network medicine aims to map the connections between the causes of disease and pathophenotypes. It has the potential to reconceptualize diseases as emergent topologies of these networks. I discuss the role of mechanisms in these models and how multi-level, context-sensitive networks aim to be empirically robust. Medically unexplained syndromes, in contrast, are an obscure class of illnesses that cannot be explained by somatic biomedicine. Like complex chronic diseases, these syndromes are a thorn in the overwhelming success of medical progress. Patients with unexplained syndromes are often diagnosed with psychiatric illnesses, and I argue that it is an epistemic injustice to pathologize such gaps in medical knowledge. Rather than diagnosis these conditions by exclusion, we need to embrace epistemic humility when confronted with such medical uncertainty. This dissertation adds to the literature on medical explanations, exploring their unique virtues and clinical implications.
机译:本文是对医学解释的局限性的哲学探索。我研究了三个案例研究来探索这些限制:进化医学,网络医学和医学上无法解释的问题。进化医学和网络医学是现代开发临床研究和实践中新的解释策略的例证。它们是新兴的领域,挑战了我们对健康和疾病的常规理解。我批评前者,并对后者持乐观态度。我认为,进化医学提出的最终解释在医学上和认识论上不足以作为医学解释。吸引我们祖先的过去的解释是推测性的,通常是基于适应主义的假设,并且凭经验怀疑-我们不能依靠它们来进行医学干预。网络医学旨在绘制疾病原因与致病表型之间的联系。它有可能重新构想疾病,将其作为这些网络的新兴拓扑。我将讨论机制在这些模型中的作用,以及多层次,上下文相关的网络如何在经验上变得稳健。相反,医学上无法解释的综合症是一类晦涩的疾病,无法用体细胞生物医学来解释。像复杂的慢性疾病一样,这些综合症是医学进步取得巨大成功的绊脚石。患有无法解释的综合征的患者经常被诊断出患有精神疾病,我认为对这种医学知识的差距进行病理诊断是一种认识上的不公正。面对这种医学上的不确定性,我们需要接受认知谦卑,而不是通过排除来诊断这些疾病。本文为医学解释增加了文献资料,探讨了它们的独特优点和临床意义。

著录项

  • 作者

    Cournoyea, Michael.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Philosophy of science.;Medicine.;Health sciences.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 214 p.
  • 总页数 214
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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