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Development of AOSpine BOnE (Bone Osteobiologics and Evidence) Classification

机译:燃烧室骨骼(骨骨质生物学和证据)分类

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Study Design: Classification development. Objectives: The aim of our study was to develop a 3-tier classification for the levels of evidence for osteobiologics and provide a description of the principles by which osteobiologics can be evaluated. BOnE (Bone Osteobiologics and Evidence) classification evaluates each osteobiologic based on the available evidence, and if the published evidence is based on clinical, in vivo or in vitro studies. Methods: The process of establishing the BOnE classification included 5 face-to-face meetings and 2 web calls among members of the AOSpine Knowledge Forum Degenerative. Results: The 3 levels of evidence were determined based on the type of data on osteobiologics: level A for human studies, level B for animal studies, and level C for in vitro studies, with level A being the highest level of evidence. Each level was organized into 4 subgroups (eg, A1, A2, A3, and A4). Conclusions: The use and the variety of osteobiologics for spine fusion has dramatically increased over the past few decades; however, literature on their effectiveness is inconclusive. Several prior systematic reviews developed by AOSpine Knowledge Forum Degenerative reported low level of evidence primarily due to the high risk of bias, small sample size, lack of control groups, and limited patient-reported outcomes. BOnE classification will provide a universal platform for research studies and journal publications to classify a new or an existing product and will allow for creating decision-making algorithms for surgical planning.
机译:研究设计:分类开发。目的:我们的研究目的是为骨质生理学的证据水平开发3层分类,并提供对可以评估骨科学的原理的描述。骨(骨骨质生物学和证据)分类根据可用证据评估每个骨科学,以及公布的证据基于临床,体内或体外研究。方法:建立骨分类的过程包括5个面对面的会议和2个Web呼叫,在欧斯知识论坛退行无落的成员之间。结果:基于骨质生理学数据的数据类型确定了3级证据:用于人类研究的水平,动物研究级别B级,用于体外研究的级别,水平是最高级别的证据。将每个级别组织成4个子组(例如,A1,A2,A3和A4)。结论:过去几十年来,脊柱融合的使用和各种骨质生理学在大大增加;然而,他们有效性的文献是不确定的。由Aospine知识论坛开发的几次先前系统审查,退行性报告了较低的证据水平,主要是由于偏倚的高风险,小样本,对照组缺乏,以及有限的患者报告的结果。骨分类将为研究研究和期刊出版物提供通用平台,以分类新的或现有产品,并允许为外科规划创建决策算法。

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