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用于慢性非癌性疼痛的个体阿片类药物以及长效与短效阿片类药物:随机对照试验网络荟萃分析方案

Individual opioids, and long- versus short-acting opioids, for chronic noncancer pain: Protocol for a network meta-analysis of randomized controlled trials.

作者信息

Noori Atefeh, Busse Jason W, Sadeghirad Behnam, Siemieniuk Reed A, Wang Li, Couban Rachel, Juurlink David N, Thabane Lehana, Guyatt Gordon H

机构信息

Department of Health Research Methods, Evidence, and Impact.

Department of Anesthesia.

出版信息

Medicine (Baltimore). 2019 Oct;98(43):e17647. doi: 10.1097/MD.0000000000017647.

Abstract

BACKGROUND

Opioids are frequently prescribed for the management of patients with chronic non-cancer pain (CNCP). Previous meta-analyses of efficacy and harms have combined treatment effects across all opioids; however, specific opioids, pharmacokinetic properties (ie, long acting vs short acting), or the type of formulation (ie, immediate vs extended release) may be a source of heterogeneity for pooled effects.

METHODS

We will conduct a network meta-analysis (NMA) of randomized controlled trials evaluating opioids for CNCP. We will acquire eligible studies through systematic searches of EMBASE, MEDLINE, CINAHL, AMED, PsycINFO, and the Cochrane Central Registry of Controlled Trials (CENTRAL). Eligible studies will have randomly allocated adult CNCP patients to an oral or transdermal opioid versus another type of opioid (or formulation) or placebo, and follow patients for ≥ 4 weeks. We will collect outcome data for pain intensity, physical function, nausea, vomiting, and constipation. Pairs of reviewers will, independently and in duplicate, abstract data from eligible trials and assess risk of bias using a modified Cochrane tool. We will assess coherence of our networks through both a global test, and by comparing direct and indirect evidence for each comparison with node-splitting.

RESULTS

Using a frequentist approach, we will conduct random effects multiple treatment meta-analysis to establish treatment effects of individual opioids for each outcome. The certainty of evidence for pooled treatment effects will be assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach. We will categorize interventions from most to least effective based on the effect estimates obtained from NMAs and their associated certainty of evidence, as follows: superior to both placebo and alternatives; superior to placebo, but inferior to alternatives; and no better than placebo.

CONCLUSION

This NMA will determine the relative effectiveness and adverse effects of individual opioids among patients with CNCP. Our results will help inform the appropriateness of assuming similar beneficial and adverse effects of varying opioid formulations.

SYSTEMATIC REVIEW REGISTRATION

This systematic review is registered with Prospective Register of Systematic Reviews, an international prospective register of systematic reviews (registration no.: CRD42018110331), available at https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=110331.

摘要

背景

阿片类药物常用于慢性非癌性疼痛(CNCP)患者的治疗。先前关于疗效和危害的荟萃分析将所有阿片类药物的治疗效果合并在一起;然而,特定的阿片类药物、药代动力学特性(即长效与短效)或剂型类型(即速释与缓释)可能是合并效应异质性的一个来源。

方法

我们将对评估阿片类药物治疗CNCP的随机对照试验进行网络荟萃分析(NMA)。我们将通过系统检索EMBASE、MEDLINE、CINAHL、AMED、PsycINFO和Cochrane对照试验中央注册库(CENTRAL)来获取符合条件的研究。符合条件的研究将把成年CNCP患者随机分配至口服或透皮阿片类药物组,与另一种阿片类药物(或剂型)或安慰剂组进行比较,并对患者随访≥4周。我们将收集疼痛强度、身体功能、恶心、呕吐和便秘的结局数据。成对的评审人员将独立且重复地从符合条件的试验中提取数据,并使用改良的Cochrane工具评估偏倚风险。我们将通过全局检验以及通过比较每次比较的直接和间接证据与节点拆分来评估我们网络的一致性。

结果

使用频率学派方法,我们将进行随机效应多重治疗荟萃分析,以确定每种阿片类药物对每个结局的治疗效果。将使用推荐分级、评估、制定和评价(GRADE)方法评估合并治疗效果的证据确定性。我们将根据从NMA获得的效应估计值及其相关的证据确定性,将干预措施从最有效到最无效进行分类,如下:优于安慰剂和其他药物;优于安慰剂,但劣于其他药物;不比安慰剂好。

结论

这项NMA将确定CNCP患者中各阿片类药物的相对有效性和不良反应。我们的结果将有助于说明假设不同阿片类药物剂型具有相似的有益和不良影响是否合适。

系统评价注册

本系统评价已在国际前瞻性系统评价注册库“前瞻性系统评价注册库”注册(注册号:CRD42018110331),可在https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=110331获取。

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