Department of Clinical Korean Medicine, Graduate School, Kyung Hee University.
Department of Acupuncture & Moxibustion Medicine, Kyung Hee University Korean Medicine Hospital.
Medicine (Baltimore). 2021 Jan 22;100(3):e23822. doi: 10.1097/MD.0000000000023822.
Postoperative delirium (POD) is a form of delirium that is newly diagnosed after a surgical procedure. This study aims to examine the effectiveness and safety of acupuncture treatment for POD in patients who underwent surgery.
Randomized controlled trials for patients diagnosed with POD using validated delirium assessment scales will be included in this review. Electronic databases, such as MEDLINE, EMBASE, CENTRAL, CINAHL (English DB), CNKI, Wanfang, VIP (Chinese database), KoreaMed, RISS, KISS, DBpia, OASIS (Korean DB), and J-STAGE (Japanese DB) will be searched without language limitation from their inception to October 2020. The intervention group will include patients who have received any type of acupuncture treatment for POD. The control group will include individuals with no treatment, sham acupuncture treatment, and conventional treatment. The primary outcome is the incidence of POD in each study. Quality assessment will be performed using the Cochrane risk of bias tool. A meta-analysis will be performed to pool the estimated effect.
This study will provide evidence for acupuncture as a potential treatment for POD, in researchers, patients, and policy makers.
The result of the study will be disseminated through posters, press releases, conference presentations, and peer-reviewed papers.
OSF 2020: (https://osf.io/usvdg).
术后谵妄(POD)是一种在手术后新诊断出的谵妄形式。本研究旨在考察针刺治疗手术患者 POD 的有效性和安全性。
本综述将纳入使用经验证的谵妄评估量表诊断为 POD 的患者的随机对照试验。将无语言限制地从建库至 2020 年 10 月检索电子数据库,如 MEDLINE、EMBASE、CENTRAL、CINAHL(英文数据库)、CNKI、万方、VIP(中文数据库)、KoreaMed、RISS、KISS、DBpia、OASIS(韩文数据库)和 J-STAGE(日文数据库)。干预组将包括接受任何类型针刺治疗 POD 的患者。对照组将包括未接受治疗、假针刺治疗和常规治疗的患者。主要结局为每个研究中 POD 的发生率。将使用 Cochrane 偏倚风险工具进行质量评估。将进行荟萃分析以汇总估计效应。
本研究将为针刺作为 POD 的潜在治疗方法提供证据,供研究人员、患者和决策者参考。
研究结果将通过海报、新闻稿、会议演讲和同行评议论文传播。
OSF 2020:(https://osf.io/usvdg)。