Suppr超能文献

科学问题与改善重度抑郁症的诊断、风险评估和治疗相关。

Scientific Issues Relevant to Improving the Diagnosis, Risk Assessment, and Treatment of Major Depression.

机构信息

Stanford University School of Medicine, Stanford, Calif.

出版信息

Am J Psychiatry. 2019 May 1;176(5):342-347. doi: 10.1176/appi.ajp.2019.19030273.

Abstract

Over the past two decades, research in the biology and treatment of major depression has led to advances in our understanding of the biology of the disorder and to the development of novel treatments. While progress has been made, a number of key issues have emerged regarding diagnosis of the disorder and how we develop and test new therapies. Among these are the potential need to include new dimensions in the diagnostic criteria, the limited utility of clinical predictors of response, the moving away from traditional blinded trials in major depression, and whether preclinical models tell us much about novel drug development. These issues need to be addressed to avoid the field's embarking on trails of research and treatment development that could actually mislead or misdirect our efforts to develop better diagnostic tools and more effective treatments. Possible solutions to these problems are proposed.

摘要

在过去的二十年中,对重度抑郁症的生物学和治疗的研究进展使我们对该疾病的生物学有了更深入的了解,并开发出了新的治疗方法。尽管已经取得了一些进展,但在该疾病的诊断以及我们如何开发和测试新疗法方面仍出现了一些关键问题。其中包括在诊断标准中纳入新维度的潜在需求、临床反应预测因子的有限实用性、在重度抑郁症中逐渐摒弃传统的盲法试验,以及临床前模型是否能为新药开发提供很多信息。为避免该领域开展可能误导或误导我们努力开发更好的诊断工具和更有效的治疗方法的研究和治疗开发工作,需要解决这些问题。针对这些问题提出了一些可能的解决方案。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验