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Evidence synthesis software.

Sophie Elizabeth Park1, James Thomas2

  • 1Research Department of Primary Care and Population Health, University College London, London, UK.

BMJ Evidence-Based Medicine
|June 9, 2018
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Summary
This summary is machine-generated.

Choosing evidence synthesis software is crucial for systematic reviews. This article guides researchers through software selection, highlighting features like collaboration, bias assessment, and text mining for efficient research synthesis.

Keywords:
information managementworld wide web technology

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Area of Science:

  • Health Sciences
  • Information Science
  • Research Methodology

Background:

  • Systematic reviews require specialized software for efficient evidence synthesis.
  • Selecting appropriate software can be challenging due to various methodological and synthesis approaches.
  • Software offers critical support for researchers in managing complex review processes.

Purpose of the Study:

  • To discuss key considerations for selecting evidence synthesis software.
  • To highlight how software can support diverse systematic review needs and approaches.
  • To introduce EPPI-Reviewer as a comprehensive solution for research synthesis.

Main Methods:

  • Discussion of software functionalities supporting collaboration, bias assessment, and qualitative analysis.
  • Introduction of EPPI-Reviewer software, detailing its features like text mining and data sharing.
  • Explanation of EPPI-Reviewer's development for 'living' systematic reviews using machine learning and information retrieval.

Main Results:

  • Software facilitates contemporaneous collaboration, bias assessment, and textual analysis.
  • EPPI-Reviewer offers text mining, data sharing, and cloud-based services.
  • Future versions will incorporate machine learning for automated research surveillance and relevance determination.

Conclusions:

  • Software advancements are crucial for timely and relevant evidence synthesis.
  • EPPI-Reviewer provides robust features for systematic reviews, including support for living reviews.
  • The evolution of software maximizes opportunities for efficient and effective research synthesis.