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从临床前模型中识别中风治疗方法:网络荟萃分析新应用方案

Identifying stroke therapeutics from preclinical models: A protocol for a novel application of network meta-analysis.

作者信息

Lalu Manoj M, Fergusson Dean A, Cheng Wei, Avey Marc T, Corbett Dale, Dowlatshahi Dar, Macleod Malcolm R, Sena Emily S, Moher David, Shorr Risa, McCann Sarah K, Gray Laura J, Hill Michael D, O'Connor Annette, Thayer Kristina, Haggar Fatima, Dobriyal Aditi, Chung Hee Sahng, Welton Nicky J, Hutton Brian

机构信息

Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Canada.

Clinical Epidemiology Program, Blueprint Translational Research Group, The Ottawa Hospital Research Institute, Ottawa, Canada.

出版信息

F1000Res. 2019 Jan 3;8:11. doi: 10.12688/f1000research.15869.1. eCollection 2019.

Abstract

Globally, stroke is the second leading cause of death. Despite the burden of illness and death, few acute interventions are available to patients with ischemic stroke. Over 1,000 potential neuroprotective therapeutics have been evaluated in preclinical models. It is important to use robust evidence synthesis methods to appropriately assess which therapies should be translated to the clinical setting for evaluation in human studies. This protocol details planned methods to conduct a systematic review to identify and appraise eligible studies and to use a network meta-analysis to synthesize available evidence to answer the following questions: in preclinical models of focal ischemic stroke, what are the relative benefits of competing therapies tested in combination with the gold standard treatment alteplase in (i) reducing cerebral infarction size, and (ii) improving neurobehavioural outcomes? We will search Ovid Medline and Embase for articles on the effects of combination therapies with alteplase. Controlled comparison studies of preclinical models of experimentally induced focal ischemia testing the efficacy of therapies with alteplase versus alteplase alone will be identified. Outcomes to be extracted include infarct size (primary outcome) and neurobehavioural measures. Risk of bias and construct validity will be assessed using tools appropriate for preclinical studies. Here we describe steps undertaken to perform preclinical network meta-analysis to synthesise all evidence for each outcome and obtain a comprehensive ranking of all treatments. This will be a novel use of this evidence synthesis approach in stroke medicine to assess pre-clinical therapeutics. Combining all evidence to simultaneously compare mutliple therapuetics tested preclinically may provide a rationale for the clinical translation of therapeutics for patients with ischemic stroke.  : Review findings will be submitted to a peer-reviewed journal and presented at relevant scientific meetings to promote knowledge transfer. PROSPERO number to be submitted following peer review.

摘要

在全球范围内,中风是第二大致死原因。尽管疾病和死亡负担沉重,但缺血性中风患者可用的急性干预措施却很少。超过1000种潜在的神经保护疗法已在临床前模型中进行了评估。使用可靠的证据综合方法来适当评估哪些疗法应转化到临床环境中进行人体研究评估非常重要。本方案详细介绍了计划进行系统评价以识别和评估合格研究,并使用网络荟萃分析来综合现有证据以回答以下问题的方法:在局灶性缺血性中风的临床前模型中,与金标准治疗药物阿替普酶联合使用时,竞争疗法在(i)减少脑梗死面积和(ii)改善神经行为结局方面的相对益处是什么?我们将在Ovid Medline和Embase上搜索关于阿替普酶联合疗法效果的文章。将识别对实验性诱导局灶性缺血的临床前模型进行的对照比较研究,这些研究测试了阿替普酶联合疗法与单独使用阿替普酶的疗效。要提取的结局包括梗死面积(主要结局)和神经行为指标。将使用适用于临床前研究的工具评估偏倚风险和构建效度。在这里,我们描述了进行临床前网络荟萃分析以综合每个结局的所有证据并获得所有治疗方法的综合排名所采取的步骤。这将是这种证据综合方法在中风医学中用于评估临床前治疗方法的新应用。结合所有证据以同时比较临床前测试的多种疗法,可能为缺血性中风患者治疗方法的临床转化提供理论依据。综述结果将提交给同行评审期刊,并在相关科学会议上展示以促进知识传播。同行评审后将提交PROSPERO编号。

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