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An evidence based ranking system for multiple studies designs for informing public policy. An example using interventions associated with Salmonella in swine.

机译:用于多个研究的基于证据的排名系统旨在通知公共政策。一个使用与猪沙门氏菌相关的干预措施的例子。

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摘要

Using the association between feed characteristics and Salmonella prevalence we will present an approach to combining data with multiple outcomes from multiple studies designs. The approach may be a method of informing policy makers in the area of food safety when a large amount of heterogeneous literature is available about a topic. The procedure for a systematic review of the literature was followed until the synthesis component. However, to combine the evidence we modified of the FDA Interim Evidence Ranking System for Scientific Information. Each study was characterized as one of 5 study design types based on evidentiary value. After classification by evidentiary value, the studies were considered collectively to rate the strength of the body of evidence based on quantity and consistency. The quantity ranking considered the number of studies, the number of individuals studied and generalizability to the target population. The consistency ranking considered whether studies with different designs reported similar findings. After ranking the body of evidence, an overall ranking was assigned for the strength of the evidence. The final ranking system had four levels. For example, the highest rank of scientific evidence, reflects a high level of comfort among qualified scientists that the association/relationship is scientifically valid. This level ranked relationship would be considered to have a very low probability of significant new data overturning the conclusion that the relationship is valid or significantly changing the nature of the relationship.
机译:利用饲料特性与沙门氏菌患病率之间的关联,我们将提供一种将数据与来自多个研究设计的多个结果相结合的方法。当有大量关于某个主题的异类文献可用时,该方法可能是一种在食品安全领域中通知决策者的方法。遵循文献的系统综述的程序,直到合成成分为止。但是,为了结合证据,我们对FDA的科学信息临时证据排名系统进行了修改。根据证据价值,每项研究均被定义为5种研究设计类型之一。按证据价值分类后,将研究合并考虑以根据数量和一致性对证据的强度进行评估。数量排名考虑了研究数量,研究的个人数量以及对目标人群的普遍性。一致性排名考虑了采用不同设计的研究是否报告了相似的发现。在对证据主体进行排名之后,对证据的强度进行了总体排名。最终排名系统分为四个级别。例如,最高级别的科学证据反映了合格的科学家对协会/关系在科学上是有效的高度安慰。这种级别排序的关系被认为具有极低的可能性,可能会导致重大的新数据推翻该关系有效或关系性质改变的结论。

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