Choi Geun Joo, Seong Hee-Kyeong, Kang Hyun
Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Medicine (Baltimore). 2020 Aug 7;99(32):e21580. doi: 10.1097/MD.0000000000021580.
We aim to perform a network meta-analysis (NMA) to quantify and rank-order the efficacy and safety of analgesic medications for ambulatory surgery.
We will search MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, and Google Scholar databases to identify all randomized controlled trials (RCTs) of analgesics, beginning from their inception to February 2020. The primary endpoints will be pain score measured using a visual analog scale (VAS) or a numerical rating scale (NRS) at 3 different time points: Phase I recovery, phase II recovery, and recovery at home. Adverse events, including nausea, vomiting, headache, dizziness, arrhythmia, and respiratory depression, will be also assessed.We will conduct NMA and use surface under the cumulative ranking curve (SUCRA) values and rankograms to present the hierarchy of analgesic medication. A comparison-adjusted funnel plot will be used to assess the presence of small study effects. The quality of the included studies will be assessed using the risk of bias tool 2.0. All statistical analyses will be performed using Stata SE version 15.0.
The results of this systematic review and NMA will be published in a peer-reviewed journal.
This systematic review and NMA will provide comprehensive and convincing evidence regarding analgesic medication for pain after ambulatory surgery.
CRD42018100000.
我们旨在进行一项网络荟萃分析(NMA),以量化并排列门诊手术镇痛药物的疗效和安全性。
我们将检索MEDLINE、EMBASE、Cochrane对照试验中央注册库和谷歌学术数据库,以识别所有从开始至2020年2月的镇痛药随机对照试验(RCT)。主要终点将是在3个不同时间点使用视觉模拟量表(VAS)或数字评定量表(NRS)测量的疼痛评分:I期恢复、II期恢复和在家恢复时。还将评估不良事件,包括恶心、呕吐、头痛、头晕、心律失常和呼吸抑制。我们将进行NMA,并使用累积排序曲线下面积(SUCRA)值和排序图来呈现镇痛药物的等级。将使用比较调整漏斗图来评估小研究效应的存在。将使用偏倚风险工具2.0评估纳入研究的质量。所有统计分析将使用Stata SE 15.0版进行。
本系统评价和NMA的结果将发表在同行评审期刊上。
本系统评价和NMA将为门诊手术后疼痛的镇痛药物提供全面且有说服力的证据。
CRD42018100000。