• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

重度抑郁症的网络:系统综述。

Networks of major depressive disorder: A systematic review.

机构信息

Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, United States of America.

Department of Clinical Psychology, Teachers College, Columbia University, New York, NY, United States of America.

出版信息

Clin Psychol Rev. 2021 Apr;85:102000. doi: 10.1016/j.cpr.2021.102000. Epub 2021 Mar 1.

DOI:10.1016/j.cpr.2021.102000
PMID:33721606
Abstract

There has been a marked increase of network studies of Major Depressive Disorder (MDD). Despite rapidly growing contributions, their findings have yet to be systematically aggregated and examined. We therefore conducted a systematic review of depression network studies using PRISMA guidelines. A total of 254 clinical and population studies were collected from ISI's Web of Science and PsycINFO, between January 2010 to May 2020. A total of 23 between-subject studies were included for review, resulting in 58 cross-sectional networks. To determine their most critical symptoms and their connections, we analyzed strength centrality rankings, and aggregated the most robust symptoms connections into a summary network. Results indicated substantial variability between study samples, depression measures, and network features. Fatigue and Depressed Mood were the most central symptoms, while Weight changes tended to have the weakest centrality. Depressed Mood and Fatigue formed two separated symptoms communities characterized by recurrent connections, with Mood-Anhedonia as the most frequent edge of MDD. Network analysis informed our understanding of MDD, suggesting the critical role of Fatigue and Depressed Mood. The study's findings are discussed in their clinical and methodological implications, including future directions for network studies of MDD.

摘要

目前已经有大量针对重度抑郁症(MDD)的网络研究。尽管研究贡献迅速增加,但它们的研究结果尚未被系统地综合和检验。因此,我们按照 PRISMA 指南对抑郁症网络研究进行了系统回顾。这项研究共从 ISI 的 Web of Science 和 PsycINFO 数据库中收集了 2010 年 1 月至 2020 年 5 月期间的 254 项临床和人群研究。共纳入 23 项组间研究进行综述,得到了 58 个横断面网络。为了确定它们最关键的症状及其联系,我们分析了强度中心性排名,并将最稳健的症状联系汇总到一个总结网络中。结果表明,研究样本、抑郁测量和网络特征之间存在很大的可变性。疲劳和情绪低落是最核心的症状,而体重变化的中心性往往最弱。情绪低落和疲劳形成了两个以反复连接为特征的分离症状群,其中情绪快感缺失是 MDD 最常见的连接。网络分析使我们对 MDD 有了更深入的了解,表明疲劳和情绪低落起着关键作用。本文讨论了这些发现的临床和方法学意义,包括未来 MDD 网络研究的方向。

相似文献

1
Networks of major depressive disorder: A systematic review.重度抑郁症的网络:系统综述。
Clin Psychol Rev. 2021 Apr;85:102000. doi: 10.1016/j.cpr.2021.102000. Epub 2021 Mar 1.
2
Omega-3 fatty acids for depression in adults.ω-3 脂肪酸治疗成人抑郁症。
Cochrane Database Syst Rev. 2021 Nov 24;11(11):CD004692. doi: 10.1002/14651858.CD004692.pub5.
3
Antidepressants for the treatment of depression in people with cancer.用于治疗癌症患者抑郁症的抗抑郁药。
Cochrane Database Syst Rev. 2018 Apr 23;4(4):CD011006. doi: 10.1002/14651858.CD011006.pub3.
4
Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.在基层医疗机构或医院门诊环境中,如果患者出现以下症状和体征,可判断其是否患有 COVID-19。
Cochrane Database Syst Rev. 2022 May 20;5(5):CD013665. doi: 10.1002/14651858.CD013665.pub3.
5
Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis.21 种抗抑郁药治疗成人重度抑郁症的急性治疗的疗效和可接受性比较:系统评价和网络荟萃分析。
Lancet. 2018 Apr 7;391(10128):1357-1366. doi: 10.1016/S0140-6736(17)32802-7. Epub 2018 Feb 21.
6
Surgical interventions for treating intracapsular hip fractures in older adults: a network meta-analysis.老年人囊内型髋部骨折的手术治疗:网状荟萃分析。
Cochrane Database Syst Rev. 2022 Feb 14;2(2):CD013404. doi: 10.1002/14651858.CD013404.pub2.
7
Control interventions in randomised trials among people with mental health disorders.精神障碍患者随机试验中的对照干预措施。
Cochrane Database Syst Rev. 2022 Apr 4;4(4):MR000050. doi: 10.1002/14651858.MR000050.pub2.
8
Psychological and/or educational interventions for the prevention of depression in children and adolescents.预防儿童和青少年抑郁症的心理和/或教育干预措施。
Cochrane Database Syst Rev. 2004(1):CD003380. doi: 10.1002/14651858.CD003380.pub2.
9
Surgical interventions for treating extracapsular hip fractures in older adults: a network meta-analysis.老年人髋关节囊外骨折的手术干预:一项网络荟萃分析。
Cochrane Database Syst Rev. 2022 Feb 10;2(2):CD013405. doi: 10.1002/14651858.CD013405.pub2.
10
Comparison of the effectiveness of inhaler devices in asthma and chronic obstructive airways disease: a systematic review of the literature.吸入装置在哮喘和慢性阻塞性气道疾病中的有效性比较:文献系统评价
Health Technol Assess. 2001;5(26):1-149. doi: 10.3310/hta5260.

引用本文的文献

1
Depressive Symptoms and Their Association With Quality of Life in Older Adults With Cataracts: A National Survey in China.白内障老年患者的抑郁症状及其与生活质量的关联:一项中国全国性调查
Alpha Psychiatry. 2025 Aug 11;26(4):45683. doi: 10.31083/AP45683. eCollection 2025 Aug.
2
Causal structural covariance network identifies progressive gray matter atrophy in adolescents with major depressive disorder.因果结构协方差网络识别出重度抑郁症青少年的渐进性灰质萎缩。
Psychol Med. 2025 Aug 27;55:e249. doi: 10.1017/S0033291725101542.
3
Gender differences in the interactions and inferred causal relationships between risk factors and gaming disorder: a network and structural equation modeling approach.
风险因素与游戏障碍之间的相互作用及推断的因果关系中的性别差异:一种网络和结构方程建模方法。
Eur Arch Psychiatry Clin Neurosci. 2025 Aug 14. doi: 10.1007/s00406-025-02075-z.
4
Major Problems in Clinical Psychological Science and How to Address them. Introducing a Multimodal Dynamical Network Approach.临床心理科学中的主要问题及其解决方法。介绍一种多模态动态网络方法。
Cognit Ther Res. 2024 Oct;48(5):791-807. doi: 10.1007/s10608-024-10487-9. Epub 2024 Jun 24.
5
Beyond the label "major depressive disorder"-detailed characterization of study population matters for EEG-biomarker research.除了“重度抑郁症”这一标签之外,研究人群的详细特征描述对脑电图生物标志物研究至关重要。
Front Neurosci. 2025 Jun 17;19:1595221. doi: 10.3389/fnins.2025.1595221. eCollection 2025.
6
Electroconvulsive therapy modulates the interplay between depressive symptoms in difficult-to-treat depression: A longitudinal network analysis.电休克治疗对难治性抑郁症患者抑郁症状之间的相互作用具有调节作用:一项纵向网络分析。
Eur Psychiatry. 2025 Jun 16;68(1):e84. doi: 10.1192/j.eurpsy.2025.10052.
7
Neuroinflammation and Natural Antidepressants: Balancing Fire with Flora.神经炎症与天然抗抑郁药:用菌群平衡“火势”
Biomedicines. 2025 May 7;13(5):1129. doi: 10.3390/biomedicines13051129.
8
Symptom networks in major depressive disorder and treatment response: special focus on TRD.重度抑郁症的症状网络与治疗反应:特别关注难治性抑郁症
Eur Psychiatry. 2025 May 27;68(1):e61. doi: 10.1192/j.eurpsy.2025.2454.
9
Unveiling Transitions in Disease States: Study of Depressive and Anxiety Symptom Networks over Time.揭示疾病状态的转变:抑郁和焦虑症状网络随时间的研究
Depress Anxiety. 2024 Jul 16;2024:4393070. doi: 10.1155/2024/4393070. eCollection 2024.
10
A cell-type-specific circuit of somatostatin neurons in the habenula encodes antidepressant action in male mice.缰核中生长抑素神经元的细胞类型特异性回路编码雄性小鼠的抗抑郁作用。
Nat Commun. 2025 Apr 10;16(1):3417. doi: 10.1038/s41467-025-58591-y.