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Resistant and multi-resistant Gram-positive severe infections: the GISIG working methodology

机译:耐药和多重耐药的革兰氏阳性严重感染:GISIG工作方法

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SummaryBackground Five thematic working groups composed of Italian infectious disease experts and a group coordinator, supported by a scientific secretary, identified controversial issues in the field of severe healthcare-associated infections caused by multidrug-resistant organisms. The five group coordinators received training courses on data sources and electronic databases, literature search strategies, the scientific revision methods of quality assessment, and the construction of an evidence matrix.Working plan and methods The working plan identified the following step: definition of the controversial issues and identification of documents for a systematic literature review. A specific methodology to classify the selected evidence was used that required the evaluation of the quality of review documents and statement documents and evaluation of the quality of original research. An original method to assess review documents and statement documents was proposed. A matrix model to extract and evaluate the evidence from original studies was designed using the CONSORT method to evaluate randomized clinical trials and the Newcastle-Ottawa Quality Assessment Scale for case-control studies, cohorts, and retrospective studies.Quality of evidence A modified GRADE working group method was applied for grading quality of evidence and strength of recommendations. The working groups reviewed the available studies and formulated recommendations to be voted on at the national consensus conference held in Rome in June 2009.
机译:概述背景由意大利传染病专家和小组协调员组成的五个主题工作组,在科学秘书的支持下,确定了由多重耐药生物引起的严重医疗保健相关感染领域的争议性问题。这五个小组的协调员接受了有关数据源和电子数据库,文献检索策略,质量评估的科学修订方法以及证据矩阵构建的培训课程。工作计划和方法工作计划确定了以下步骤:争议的定义问题和文件识别,以进行系统的文献审查。使用了一种对选定证据进行分类的特定方法,该方法要求评估审查文件和声明文件的质量以及评估原始研究的质量。提出了评估评审文件和声明文件的原始方法。使用CONSORT方法设计了一个矩阵模型来提取和评估原始研究的证据,以评估随机临床试验和纽卡斯尔-渥太华质量评估量表,用于病例对照研究,队列研究和回顾性研究。采用分组法对证据质量和推荐强度进行分级。工作组审查了可用的研究并提出了建议,以供2009年6月在罗马举行的全国共识会议投票通过。

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