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非甾体抗炎药治疗膝和髋骨关节炎疼痛的有效性:一项网状荟萃分析。

Effectiveness of non-steroidal anti-inflammatory drugs for the treatment of pain in knee and hip osteoarthritis: a network meta-analysis.

作者信息

da Costa Bruno R, Reichenbach Stephan, Keller Noah, Nartey Linda, Wandel Simon, Jüni Peter, Trelle Sven

机构信息

Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.

Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Department of Rheumatology, Immunology and Allergology, University Hospital and University of Bern, Switzerland.

出版信息

Lancet. 2017 Jul 8;390(10090):e21-e33. doi: 10.1016/S0140-6736(17)31744-0.

Abstract

BACKGROUND

Non-steroidal anti-inflammatory drugs (NSAIDs) are the backbone of osteoarthritis pain management. We aimed to assess the effectiveness of different preparations and doses of NSAIDs on osteoarthritis pain in a network meta-analysis.

METHODS

For this network meta-analysis, we considered randomised trials comparing any of the following interventions: NSAIDs, paracetamol, or placebo, for the treatment of osteoarthritis pain. We searched the Cochrane Central Register of Controlled Trials (CENTRAL) and the reference lists of relevant articles for trials published between Jan 1, 1980, and Feb 24, 2015, with at least 100 patients per group. The prespecified primary and secondary outcomes were pain and physical function, and were extracted in duplicate for up to seven timepoints after the start of treatment. We used an extension of multivariable Bayesian random effects models for mixed multiple treatment comparisons with a random effect at the level of trials. For the primary analysis, a random walk of first order was used to account for multiple follow-up outcome data within a trial. Preparations that used different total daily dose were considered separately in the analysis. To assess a potential dose-response relation, we used preparation-specific covariates assuming linearity on log relative dose.

FINDINGS

We identified 8973 manuscripts from our search, of which 76 randomised trials with a total of 58 451 patients were included in this analysis. 23 nodes concerning seven different NSAIDs or paracetamol with specific daily dose of administration or placebo were considered. All preparations, irrespective of dose, improved point estimates of pain symptoms when compared with placebo. For six interventions (diclofenac 150 mg/day, etoricoxib 30 mg/day, 60 mg/day, and 90 mg/day, and rofecoxib 25 mg/day and 50 mg/day), the probability that the difference to placebo is at or below a prespecified minimum clinically important effect for pain reduction (effect size [ES] -0·37) was at least 95%. Among maximally approved daily doses, diclofenac 150 mg/day (ES -0·57, 95% credibility interval [CrI] -0·69 to -0·45) and etoricoxib 60 mg/day (ES -0·58, -0·74 to -0·43) had the highest probability to be the best intervention, both with 100% probability to reach the minimum clinically important difference. Treatment effects increased as drug dose increased, but corresponding tests for a linear dose effect were significant only for naproxen (p=0·034). We found no evidence that treatment effects varied over the duration of treatment. Model fit was good, and between-trial heterogeneity and inconsistency were low in all analyses. All trials were deemed to have a low risk of bias for blinding of patients. Effect estimates did not change in sensitivity analyses with two additional statistical models and accounting for methodological quality criteria in meta-regression analysis.

INTERPRETATION

On the basis of the available data, we see no role for single-agent paracetamol for the treatment of patients with osteoarthritis irrespective of dose. We provide sound evidence that diclofenac 150 mg/day is the most effective NSAID available at present, in terms of improving both pain and function. Nevertheless, in view of the safety profile of these drugs, physicians need to consider our results together with all known safety information when selecting the preparation and dose for individual patients.

FUNDING

Swiss National Science Foundation (grant number 405340-104762) and Arco Foundation, Switzerland.

摘要

背景

非甾体抗炎药(NSAIDs)是骨关节炎疼痛管理的主要药物。我们旨在通过网状Meta分析评估不同制剂和剂量的NSAIDs对骨关节炎疼痛的疗效。

方法

对于这项网状Meta分析,我们纳入了比较以下任何一种干预措施治疗骨关节炎疼痛的随机试验:NSAIDs、对乙酰氨基酚或安慰剂。我们检索了Cochrane对照试验中心注册库(CENTRAL)以及相关文章的参考文献列表,以查找1980年1月1日至2015年2月24日期间发表的每组至少有100例患者的试验。预先设定的主要和次要结局分别为疼痛和身体功能,在治疗开始后的多达七个时间点重复提取数据。我们使用多变量贝叶斯随机效应模型的扩展方法进行混合多种治疗比较,并在试验水平纳入随机效应。对于主要分析,采用一阶随机游走模型来处理试验内多个随访结局数据。分析中分别考虑了使用不同每日总剂量的制剂。为了评估潜在的剂量 - 反应关系,我们使用制剂特异性协变量并假设对数相对剂量呈线性关系。

结果

我们通过检索识别出8973篇文献,其中76项随机试验共58451例患者纳入本分析。分析中考虑了涉及七种不同NSAIDs或对乙酰氨基酚以及特定每日给药剂量或安慰剂的23个节点。与安慰剂相比,所有制剂无论剂量如何,均改善了疼痛症状的点估计值。对于六种干预措施(双氯芬酸150mg/天、依托考昔30mg/天, 60mg/天和90mg/天,以及罗非昔布25mg/天和50mg/天),与安慰剂相比差异达到或低于预先设定的疼痛减轻最小临床重要效应(效应量[ES] -0·37)的概率至少为95%。在最大批准日剂量中,双氯芬酸150mg/天(ES -0·57,95%可信区间[CrI] -0·69至 -0·45)和依托考昔60mg/天(ES -0·58, -0·74至 -0·43)成为最佳干预措施的概率最高,两者达到最小临床重要差异的概率均为100%。治疗效果随药物剂量增加而增强,但仅萘普生的线性剂量效应相应检验具有统计学意义(p = 0·034)。我们没有发现治疗效果在治疗期间有所变化的证据。模型拟合良好,所有分析中的试验间异质性和不一致性均较低。所有试验在患者盲法方面被认为偏倚风险较低。在使用另外两种统计模型的敏感性分析以及在Meta回归分析中考虑方法学质量标准后,效应估计值未发生变化。

解读

基于现有数据,我们认为无论剂量如何,单药对乙酰氨基酚对骨关节炎患者的治疗均无作用。我们提供了有力证据表明,就改善疼痛和功能而言,双氯芬酸150mg/天是目前最有效的NSAID。然而,鉴于这些药物的安全性,医生在为个体患者选择制剂和剂量时,需要将我们的结果与所有已知安全信息综合考虑。

资助

瑞士国家科学基金会(资助编号405340 - 104762)和瑞士阿科基金会。

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