National Rehabilitation Center, Korea Ministry of Health and Welfare, Sejong, Korea (the Republic of).
Department of Preventive Medicine, Kyung Hee University, Seoul, Korea (the Republic of).
BMJ Open. 2022 Dec 14;12(12):e055800. doi: 10.1136/bmjopen-2021-055800.
Although various treatments exist for depression in patients with spinal cord injury (SCI), the comparative effects and relationships between these treatments have not been clearly presented. This study aims to present comprehensive evidence for the treatment of major depressive disorder or dysthymic disorder in patients with SCI by comparing the therapeutic and adverse effects of pharmacological and non-pharmacological treatments through a systematic review and network meta-analysis.
We will search for studies in five databases (Medline, Central, Embase, PsycINFO and CHINAL) as well as clinical trial registries (US National Institutes of Health Ongoing Trials Register ClinicalTrials.gov (www.
gov), WHO International Clinical Trials Registry Platform (www.who.int/trialsearch)) and grey literature (Google Scholar). The references of the included studies, previous systematic reviews and meta-analyses will be reviewed. Study selection, data extraction and quality and risk of bias assessments will be independently performed by two authors (JMH and WSC), and disagreements will be resolved by discussion with JHK. Moreover, a Bayesian network meta-analysis will be performed using R software.
Our systematic review and network meta-analysis will be performed based on existing studies; thus, we did not seek ethical approval. Our results will be published in a peer-reviewed journal and presented at both domestic and international conferences.
尽管脊髓损伤(SCI)患者的抑郁症有多种治疗方法,但这些治疗方法的比较效果和关系尚未明确。本研究旨在通过系统评价和网络荟萃分析,比较药物和非药物治疗的治疗效果和不良反应,为 SCI 患者的重度抑郁症或恶劣心境障碍提供综合治疗证据。
我们将在五个数据库(Medline、Cochrane 图书馆、Embase、PsycINFO 和中国生物医学文献数据库)以及临床试验注册库(美国国立卫生研究院正在进行的试验注册处 ClinicalTrials.gov(www.clinicaltrials.gov)、世界卫生组织国际临床试验注册平台(www.who.int/trialsearch))和灰色文献(Google Scholar)中搜索研究。将对纳入研究的参考文献、先前的系统评价和荟萃分析进行综述。研究选择、数据提取和质量及偏倚风险评估将由两位作者(JMH 和 WSC)独立进行,如果存在分歧,则通过与 JHK 讨论解决。此外,将使用 R 软件进行贝叶斯网络荟萃分析。
我们的系统评价和网络荟萃分析将基于现有研究进行,因此我们没有寻求伦理批准。我们的研究结果将发表在同行评议的期刊上,并在国内外会议上进行报告。