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Insights from Covidence

Published guidance, evaluations and research from the evidence synthesis specialists.

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Editor's picks

Chosen this month by our methods and community team

ebook

Understanding review types in research

Understanding the right tool to use when synthesising evidence is critical for the production of credible and impactful knowledge.

Inspired by the knowledge of hundreds of researchers, this guide can help you better understand some of the most commonly used types of literature reviews used in research, the purpose of these reviews and how to choose the right one.

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Understanding Review Types in Research
  • Customer Story

From Three Months to One: Rebuilding a Systematic Review with Covidence

Automation (AI) is changing what is possible in evidence synthesis.

Read the case study →
  • Product Updates

How to justify AI tools to institutions

How do you make an evidence-based case for AI tools at your institution? Explore the questions researchers and decision-makers need answered.

Read the case study →
  • Product Updates

Beyond evaluation: deciding when AI is appropriate in evidence synthesis

Explore how Covidence’s decision matrix weighs the consequences of errors, human oversight and model performance necessary for trusted AI use.

Read the case study →

Guides and papers

  • Guide

Understanding the Review Types

In this guide, we introduce the Systematic Review Family. Discover the differences among various review types, including Rapid Reviews, Scoping Reviews, Literature Reviews, Living Systematic Reviews, Meta-Analyses, and Evidence Gap Maps.

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  • Guide

Empowering Librarians in Research

Discover invaluable insights from our guide, 'Empowering Librarians in Research,' unlocking new potentials for your library's impact!

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  • Guide

A step-by-step guide to completing your Systematic Review

Complete your Systematic Review with ease using this step-by-step guide and unlock success.

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  • Guide

Thesis writing: Covidence’s top ten tips

Unlock the secrets to successful thesis writing with Covidence's top ten tips.

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Product Blog

Automation and AI

  • Product Updates

How to justify AI tools to institutions

How do you make an evidence-based case for AI tools at your institution? Explore the questions researchers and decision-makers need answered.

Read the article →
  • Product Updates

AI won’t replace methods skills, it depends on them

Read the article →
  • Product Updates

How we evaluate AI models for evidence synthesis

Read the article →
  • Product Updates

Beyond evaluation: deciding when AI is appropriate in evidence synthesis

Explore how Covidence’s decision matrix weighs the consequences of errors, human oversight and model performance necessary for trusted AI use.

Read the article →
  • Product Updates

How Covidence decides what AI to release (and what to hold back)

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Case studies

How institutions use Covidence

What changed for libraries and research offices after an institutional licence.
  • Case Study

University of Rochester – River Campus

Read how University of Rochester is enhancing quality and efficiency of library support with Covidence.

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  • Case Study

University of Birmingham

Read how University of Birmingham is fuelling pioneering academic research with Covidence.

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  • Case Study, Testimonial

Professor Benita Olivier

Read how Professor Benita Olivier is reshaping their academic landscape with Covidence

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  • Case Study

Lund University, Sweden

Read how Lund University is reshaping their academic landscape with Covidence

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  • Case Study

US Teaching Hospital

Learn how Covidence helped transform the research output of this leading institution

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  • Case Study

University of York

Read how The University of York is reshaping their academic landscape with Covidence

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All blogs

Search everything we publish, or filter by topic.

From Three Months to One: Rebuilding a Systematic Review with Covidence

Automation (AI) is changing what is possible in evidence synthesis.

Read the article →

From spreadsheets to structured data: How Dr. Karla Krewulak uses Covidence from screening to data extraction

Read the article →

How to justify AI tools to institutions

How do you make an evidence-based case for AI tools at your institution? Explore the questions researchers and decision-makers need answered.

Read the article →

How Joshua made steady data extraction progress on 496 studies – with just two hours a night

Read the article →

What Does It Really Take to Build a Research Culture That Lasts?

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AI won’t replace methods skills, it depends on them

Read the article →

How we evaluate AI models for evidence synthesis

Read the article →

Beyond evaluation: deciding when AI is appropriate in evidence synthesis

Explore how Covidence’s decision matrix weighs the consequences of errors, human oversight and model performance necessary for trusted AI use.

Read the article →

Covidence supports research that is shaping the treatment of obesity

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How Covidence decides what AI to release (and what to hold back)

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Covidence’s approach to responsible automation (AI)

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How Researchers Worldwide Use Covidence Across Varied Research Disciplines

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