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神经影像学和治疗证据在精神病性障碍的临床分期中的应用:从高危精神状态到慢性精神分裂症。

Neuroimaging and treatment evidence for clinical staging in psychotic disorders: from the at-risk mental state to chronic schizophrenia.

机构信息

Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Australia.

出版信息

Biol Psychiatry. 2011 Oct 1;70(7):619-25. doi: 10.1016/j.biopsych.2011.05.034. Epub 2011 Jul 18.

Abstract

A new approach to understanding severe mental disorders such as schizophrenia is to adopt a clinical staging model. Such a model defines the extent of the illness such that earlier and milder phenomena are distinguished from later, more impairing features. Specifically, a clinical staging model makes three key predictions. First, pathologic measures should be more abnormal in more severe stages. Second, patients who progress between the stages should show change in these same pathologic measures. Finally, treatment should be more effective in the earlier stages, as well as more benign. In this article, we review the evidence for these three predictions from studies of psychotic disorders, with a focus on neuroimaging data. For all three, the balance of evidence supports the predictions of the staging model. However, there are a number of alternative explanations for these findings, including the effects of medication and symptom heterogeneity.

摘要

一种理解严重精神障碍(如精神分裂症)的新方法是采用临床分期模型。这种模型定义了疾病的严重程度,以便将早期和较轻的现象与后期更具损伤性的特征区分开来。具体来说,临床分期模型做出了三个关键预测。首先,病理指标在更严重的阶段应该更异常。其次,在不同阶段进展的患者应该在这些相同的病理指标上出现变化。最后,早期治疗效果应该更好,副作用也应该更良性。在本文中,我们回顾了精神障碍研究中对这三个预测的证据,重点是神经影像学数据。所有三个预测都得到了分期模型的证据支持。然而,对于这些发现也有许多替代解释,包括药物治疗和症状异质性的影响。

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