临床预测工具可用于治疗严重抑郁症的临床医生:系统性审查
D A van Dijk1, N G Stoel2, R J Meijer3
1Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands; PsyQ Haaglanden, Department of Mood Disorders, The Hague, the Netherlands; Parnassia Psychiatric Institute, The Hague, the Netherlands.
Journal of affective disorders
|April 12, 2025
概括
本综述确定了16种用于重大抑郁症 (MDD) 治疗决策的临床预测工具. 它推了像莫兹利分期方法这样的特定工具来指导初始治疗选择.
科学领域:
- 临床精神病学 临床精神病学
- 医疗决策的制定 医疗决策的制定
- 医疗信息学 医疗信息学
背景情况:
- 大型抑郁症 (MDD) 的治疗反应高度可变,对临床决策构成挑战.
- 现有的临床预测工具旨在支持治疗选择和改善结果.
- 目前还没有进行系统审查,以指导这些工具的选择.
研究的目的:
- 系统地审查和概述统计评估的MDD临床预测工具.
- 专注于临床医生易于使用的仪器,无论是在线还是印刷版.
- 帮助临床医生做出明智的MDD治疗决定.
主要方法:
- 在Medline,Embase和PsycINFO数据库 (2010-2023) 中进行了系统的文献搜索.
- 遵循PRISMA和CHARMS的指导方针,包括使用PROBAST评估偏差风险.
- 包括对成人MDD患者预测仪器的原始英语研究.
主要成果:
- 从15项原始研究中确定了16种独特的预测工具.
- 大多数仪器 (12/16) 是用于治疗开始或治疗期间的.
- 所有纳入的研究都显示出高偏差风险.
结论:
- 16种预测工具可用于支持抑郁症治疗中的临床决策.
- 在治疗开始时,建议使用评估先前治疗和临床因素的仪器.
- 建议使用莫德斯利分期方法 (MSM) 和DM-TRD来指导初始治疗决策.
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