A New Process Model of Study Identification Specific to the Identification of Randomised Studies for Systematic Reviews of Medical Interventions

Chris Cooper, Zahra Premji, Christine Worsley, Eve Tomlinson, Sarah Dawson, Emma Prentice
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Abstract

Background

Recent work has illustrated that the same process of study identification is used in systematic reviews irrespective of the studies or data needs required for synthesis. We question if different review types should have their own specific models of study identification, to ensure the appropriate and timely identification of studies/study reports and to minimise research waste.

Objective

In this paper, we aim to:

1. illustrate and report a new process model to identify randomised studies for systematic reviews of medical interventions; and

2. situate the model in context of current practice using a worked example from a recent systematic review.

Method

Our model splits the identification of studies from the identification of study reports by searching in distinct phases. It begins with searches of trials registry resources to identify studies, followed by searches of bibliographic databases to identify study reports or unregistered studies. Supplementary search methods are then used to identify unpublished studies. The model includes the possibility of secondary searches, and we consider the role of update searches.

Conclusion

A case study illustrates the application of the method alongside operational guidance.

Abstract Image

为医学干预措施系统综述鉴定随机研究的新研究鉴定流程模型
最近的研究表明,无论综合所需的研究或数据需求如何,系统评价都使用相同的研究识别过程。我们质疑不同的综述类型是否应该有自己特定的研究识别模型,以确保适当和及时地识别研究/研究报告,并最大限度地减少研究浪费。本论文的目的是:1。说明并报告一个新的过程模型,以确定医学干预措施系统评价的随机研究;和 2。使用来自最近系统回顾的工作示例,将模型置于当前实践的上下文中。方法我们的模型通过在不同阶段进行搜索,将研究的识别与研究报告的识别分开。首先搜索试验注册资源以确定研究,然后搜索书目数据库以确定研究报告或未注册的研究。然后使用补充搜索方法来识别未发表的研究。该模型考虑了二次搜索的可能性,并考虑了更新搜索的作用。结论一个案例研究说明了该方法与操作指导的应用。
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