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首页> 外文期刊>Scientific reports. >Efficacy and safety of TNF-α inhibitors for active ankylosing spondylitis patients: Multiple treatment comparisons in a network meta-analysis
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Efficacy and safety of TNF-α inhibitors for active ankylosing spondylitis patients: Multiple treatment comparisons in a network meta-analysis

机译:TNF-α抑制剂对活性强直性脊柱炎患者的功效和安全性:网络元分析中的多种治疗比较

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摘要

Ankylosing spondylitis (AS) is an inflammatory rheumatic disease with impact on axial skeleton, peripheral joints and enthuses, and it may result in severe disabilities of those parts. Tumor necrosis factor-α (TNF-α) inhibitors are considered as an effective treatment for patients with active AS. In this study, we conducted a network meta-analysis to compare the clinical outcomes of active AS patients treated with TNF-α inhibitors. Randomized controlled trials (RCTs) evaluating the efficacy and safety of TNF-α inhibitors were retrieved in literature search and selected for meta-analysis. Changes in ASAS20 response, ASAS40 response and BASDAI 50% response were regarded as efficacy outcomes; serious adverse events (SAE) and all cause withdrawals were regarded as safety outcomes. Both traditional pairwise meta-analysis and network meta-analysis were performed. The results showed that adalimumab and infliximab had better clinical outcomes. Infliximab consistently appeared to be the most effective TNF-α inhibitors with a high risk of adverse events for patients with active AS; meanwhile, adalimumab ranked highest with respect to adverse effects with efficacy secondary to infliximab. As a result, we were unable to conclude the optimal TNF-α inhibitor and this issue should be solved by future researchers.
机译:强直性脊柱炎(AS)是一种炎症性风湿性疾病,对轴向骨架,外周关节和热烈撞击,可能导致这些部件的严重残疾。肿瘤坏死因子-α(TNF-α)抑制剂被认为是活跃患者的有效治疗方法。在这项研究中,我们进行了网络元分析,以比较随着TNF-α抑制剂治疗的患者的活性临床结果。在文献搜索中检索评估TNF-α抑制剂的功效和安全性的随机对照试验(RCT),选择荟萃分析。 ASAS20响应的变化,ASAS40响应和Basdai 50%的反应被认为是疗效结果;严重的不良事件(SAE)和所有原因提款被视为安全结果。进行传统的成对元分析和网络元分析。结果表明,Adalimumab和Infiximab具有更好的临床结果。英夫利昔单抗始终似乎是最有效的TNF-α抑制剂,具有高患者有效的不良事件的风险很高。同时,阿达木单抗相对于与英夫利昔单抗的疗效的不良反应排名最高。因此,我们无法得出最佳的TNF-α抑制剂,未来的研究人员应该解决这个问题。

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