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Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression.网络荟萃分析中的一致性和不一致性:使用多元荟萃回归进行模型估计。
Res Synth Methods. 2012 Jun;3(2):111-25. doi: 10.1002/jrsm.1045.
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Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool.间接和混合治疗比较、网络或多治疗荟萃分析:下一代证据综合工具的众多名称、众多益处和众多关注点。
Res Synth Methods. 2012 Jun;3(2):80-97. doi: 10.1002/jrsm.1037. Epub 2012 Jun 11.
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The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations.PRISMA 扩展声明用于报告包含健康保健干预措施网络荟萃分析的系统评价:清单和说明。
Ann Intern Med. 2015 Jun 2;162(11):777-84. doi: 10.7326/M14-2385.
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Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation.系统评价和荟萃分析议定书的首选报告项目(PRISMA-P)2015:详细说明和解释。
BMJ. 2015 Jan 2;350:g7647. doi: 10.1136/bmj.g7647.
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A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis.用于对网络荟萃分析中治疗效果估计质量进行评级的GRADE工作组方法。
BMJ. 2014 Sep 24;349:g5630. doi: 10.1136/bmj.g5630.
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Graphical tools for network meta-analysis in STATA.STATA 中的网络荟萃分析图形工具。
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Non-opioid analgesics for pain management following ambulatory surgery: a review.非阿片类镇痛药在门诊手术后疼痛管理中的应用:综述。
Minerva Anestesiol. 2013 Sep;79(9):1077-87. Epub 2013 Mar 19.
10
Interpretation of random effects meta-analyses.随机效应荟萃分析的解读
BMJ. 2011 Feb 10;342:d549. doi: 10.1136/bmj.d549.

门诊手术的药物干预:系统评价与网状Meta分析方案

Pharmacological intervention for ambulatory surgery: A protocol for systematic review and network meta-analysis.

作者信息

Choi Geun Joo, Seong Hee-Kyeong, Kang Hyun

机构信息

Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Republic of Korea.

出版信息

Medicine (Baltimore). 2020 Aug 7;99(32):e21580. doi: 10.1097/MD.0000000000021580.

DOI:10.1097/MD.0000000000021580
PMID:32769907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7593075/
Abstract

BACKGROUND

We aim to perform a network meta-analysis (NMA) to quantify and rank-order the efficacy and safety of analgesic medications for ambulatory surgery.

METHODS

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.

RESULTS

The results of this systematic review and NMA will be published in a peer-reviewed journal.

CONCLUSION

This systematic review and NMA will provide comprehensive and convincing evidence regarding analgesic medication for pain after ambulatory surgery.

TRIAL REGISTRATION NUMBER

CRD42018100000.

摘要

背景

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。

方法

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。

结果

本系统评价和NMA的结果将发表在同行评审期刊上。

结论

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。

试验注册号

CRD42018100000。