Automation tools to support undertaking scoping reviews.

IF 5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Research Synthesis Methods Pub Date : 2024-11-01 Epub Date: 2024-06-17 DOI:10.1002/jrsm.1731
Hanan Khalil, Danielle Pollock, Patricia McInerney, Catrin Evans, Erica B Moraes, Christina M Godfrey, Lyndsay Alexander, Andrea Tricco, Micah D J Peters, Dawid Pieper, Ashrita Saran, Daniel Ameen, Petek Eylul Taneri, Zachary Munn
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Abstract

Objective: This paper describes several automation tools and software that can be considered during evidence synthesis projects and provides guidance for their integration in the conduct of scoping reviews.

Study design and setting: The guidance presented in this work is adapted from the results of a scoping review and consultations with the JBI Scoping Review Methodology group.

Results: This paper describes several reliable, validated automation tools and software that can be used to enhance the conduct of scoping reviews. Developments in the automation of systematic reviews, and more recently scoping reviews, are continuously evolving. We detail several helpful tools in order of the key steps recommended by the JBI's methodological guidance for undertaking scoping reviews including team establishment, protocol development, searching, de-duplication, screening titles and abstracts, data extraction, data charting, and report writing. While we include several reliable tools and software that can be used for the automation of scoping reviews, there are some limitations to the tools mentioned. For example, some are available in English only and their lack of integration with other tools results in limited interoperability.

Conclusion: This paper highlighted several useful automation tools and software programs to use in undertaking each step of a scoping review. This guidance has the potential to inform collaborative efforts aiming at the development of evidence informed, integrated automation tools and software packages for enhancing the conduct of high-quality scoping reviews.

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支持进行范围界定审查的自动化工具。
目的:本文介绍了在证据综述项目中可以考虑使用的几种自动化工具和软件,并为在范围界定综述中整合这些工具和软件提供指导:本文介绍了在证据综述项目中可以考虑使用的几种自动化工具和软件,并为在范围界定综述中整合这些工具和软件提供了指导:研究设计与背景:本文所提供的指南是根据范围界定综述的结果以及与 JBI 范围界定综述方法学小组的协商结果改编而成:本文介绍了几种可靠的、经过验证的自动化工具和软件,可用于加强范围界定综述的开展。系统性综述以及最近的范围界定综述的自动化技术在不断发展。我们按照 JBI 方法指南推荐的范围界定综述关键步骤详细介绍了几种有用的工具,包括建立团队、制定方案、检索、去重、筛选标题和摘要、数据提取、数据制图和撰写报告。虽然我们提供了几种可靠的工具和软件,可用于范围界定综述的自动化,但提到的工具也有一些局限性。例如,有些工具仅有英文版,而且无法与其他工具集成,导致互操作性有限:本文重点介绍了几种有用的自动化工具和软件程序,可用于范围界定审查的每个步骤。本指南有可能为旨在开发有实证依据的集成自动化工具和软件包的合作努力提供信息,以加强高质量范围界定综述的开展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Research Synthesis Methods
Research Synthesis Methods MATHEMATICAL & COMPUTATIONAL BIOLOGYMULTID-MULTIDISCIPLINARY SCIENCES
CiteScore
16.90
自引率
3.10%
发文量
75
期刊介绍: Research Synthesis Methods is a reputable, peer-reviewed journal that focuses on the development and dissemination of methods for conducting systematic research synthesis. Our aim is to advance the knowledge and application of research synthesis methods across various disciplines. Our journal provides a platform for the exchange of ideas and knowledge related to designing, conducting, analyzing, interpreting, reporting, and applying research synthesis. While research synthesis is commonly practiced in the health and social sciences, our journal also welcomes contributions from other fields to enrich the methodologies employed in research synthesis across scientific disciplines. By bridging different disciplines, we aim to foster collaboration and cross-fertilization of ideas, ultimately enhancing the quality and effectiveness of research synthesis methods. Whether you are a researcher, practitioner, or stakeholder involved in research synthesis, our journal strives to offer valuable insights and practical guidance for your work.
期刊最新文献
Automation tools to support undertaking scoping reviews. Reduce, reuse, recycle: Introducing MetaPipeX, a framework for analyses of multi-lab data. A comparison of two models for detecting inconsistency in network meta-analysis. Calculating the power of a planned individual participant data meta-analysis to examine prognostic factor effects for a binary outcome. Considerations for conducting systematic reviews: A follow-up study to evaluate the performance of various automated methods for reference de-duplication.
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