Duke Medical Center Library & Archives
Tag: systematic reviews

Many researchers say they want to conduct a systematic review, only to be dismayed by the amount of time, effort, skill, and teamwork required to pull off that feat. Even with time and a good team, the research question might not be best suited to systematic review methodology.

There are actually many other review methodologies that researchers can choose depending on their research question. We've put together a guide to make the distinctions between review types easier to understand and to help guide you in selecting the best methodology for your research question.

If a systematic review is right for you, we have a new product to assist you but there are a limited number of seats...

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Covidence is a systematic reviews production tool for title/abstract screening, full-text screening, data abstraction, and quality assessment. It was designed by researchers familiar with the systematic review process in order to make conducting reviews more efficient. It is the primary screening and data extraction tool for Cochrane Collaboration authors.

The Medical Center Library & Archives has a limited number of seats for this product. In order to gain access to Covidence, please contact the medical librarians to discuss your project.

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A systematic review attempts to collate all empirical evidence that fits pre-specified eligibility criteria in order to answer a specific research question. The key characteristics of a systematic review are: a clearly defined question with inclusion and exclusion criteria; rigorous and systematic search of the literature; critical appraisal of included studies; data extraction and management; analysis and interpretation of results; and report for publication.

Not every research question fits well with the systematic review methodology. Other types of reviews might be better suited for research questions that are broader or that may not have much empirical evidence on the topic.

What does it take to do a systematic review?

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MeSH On Demand is a new tool from the National Library of Medicine. It suggests MeSH terms based on a block of text that you provide.

This can be useful in two main situations:

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