Skip to Main Content

Gibson D. Lewis Library Libguides

Systematic Reviews

Resources for conducting systematic reviews

What Review is Right for Me?

Choosing the appropriate kind of review is the initial key step in conducting evidence synthesis. Based on your research objectives, time horizon, and available resources, you may consider carrying out a literature or narrative review, rapid review, scoping review, umbrella review, systematic review, or meta-analysis. Each review type has a particular function and different methodologies. To help you pick the best option for your project, employ the Right Review decision tool. This free web-based instrument takes you through a short set of questions and recommends the most suitable review type for you
 
The flowchart below offers another way to navigate this decision. Use it in combination with your project’s scope and proposal to determine the most suitable review type.

Review Types

Literature review or a narrative provides an overview of research conducted on a particular topic. It is not trying to encompass every study or follow a protocol but rather encapsulates and interprets significant findings from selected studies. This type of review is useful for the identification of trends, theories, knowledge gaps, and historical development in a field. It is most generally employed to create background for a thesis or research proposal, or to inform practice when it is not feasible to carry out a complete systematic review.

What are some general characteristics of a literature review? It must have a clear purpose and a coherent structure. Even though the question under investigation can be broader in the case of a literature review compared to a systematic review, the scope still has to be workable. A good literature review draws on credible sources and offers an unbiased synthesis not just a list of studies. It must also critically evaluate the literature—highlighting strengths and limitations, areas of consensus or contention.

Click on the top tabs of this site to learn more about other evidence synthesis types: Systematic Review, Meta-Analysis, Scoping Review, Rapid Review, and Umbrella Review.

Navigate the menu on the left for information on Systematic Searching Tips, Tools & Resources, and Library Help for your review.

Note:  For a more comprehensive guide on rapid reviews, please go to our Rapid Review page within this guide.

Rapid reviews are a quick form of evidence synthesis. They seek to be “quick but not dirty” (Butler et al. 2005). They aim to be rigorous and reproducible but limit the scale of the search and the degree of appraisal to improve the turnaround time. A systematic review generally takes 12-18 months to complete, so a rapid review is often utilized when policy dictates a quick turnaround.

Browse the tabs at the top of this page to learn more about other types of evidence synthesis: Meta Analysis, Scoping Review, Rapid Review, and Umbrella Review.

Navigate the menu on the left for information on Systematic Searching TipsTools & Resources, and Library Help for your review.

 

A scoping review is the broader counterpart to a systematic review. It is conducted similarly to a systematic review, but it aims to determine the size and/or scope of available research on a topic. A scoping review features a systematic and comprehensive search and should also be reproducible.

A scoping review should be no less rigorous than a systematic review, and is often an even bigger project than a systematic review, because the broader topic may lead to screening many more papers.

Browse the tabs at the top of this page to learn more about other types of evidence synthesis: Meta Analysis, Scoping Review, Rapid Review, and Umbrella Review.

Navigate the menu on the left for information on Systematic Searching TipsTools & Resources, and Library Help for your review.

An umbrella review compiles the evidence from multiple systematic reviews, you might think of it as a systematic review of systematic reviews. Systematic review production has skyrocketed during COVID, as it was a way for researchers to contribute to the scholarly literature while unable to access their lab, due to stay at home orders. This influx of systematic reviews will likely result in an increase in umbrella reviews.

Browse the tabs at the top of this page to learn more about other types of evidence synthesis: Meta Analysis, Scoping Review, Rapid Review, and Umbrella Review.

Navigate the menu on the left for information on Systematic Searching TipsTools & Resources, and Library Help for your review.

A systematic review aims to gather all of the randomized controlled trials on a specific intervention and determine what these studies have concluded, in combination. The resulting document is considered to be the strongest evidence one can use to make health decisions. In order to conduct a review, one must gather all the information, screen out anything that may be irrelevant, extract the data, and then draw conclusions.

What are some essential qualities of a systematic review? It should have a focused topic. If your research question is too broad, you’ll end up overwhelmed with the number of studies you must screen, and you’ll be unable to draw direct conclusions in the comparison of studies. Furthermore, it must have a systematic and comprehensive search. If your search isn’t comprehensive, you can’t claim to be synthesizing all the information. And finally, as with all research, your review must be reproducible. This means you must document and report every aspect of your search.

Browse the tabs at the top of this page to learn more about other types of evidence synthesis: Meta Analysis, Scoping Review, Rapid Review, and Umbrella Review.

Navigate the menu on the left for information on Systematic Searching TipsTools & Resources, and Library Help for your review.

A meta analysis is a statistical combination of the results of quantitative studies. A meta analysis must be conducted in conjunction with a systematic review, as the systematic searching for and screening of papers produces the list of studies used in a meta analysis. Therefore, every meta analysis must have a systematic review, but not every systematic review will have a meta analysis.

The data in a meta analysis are often visualized in a forest plot, which is featured above. Each row of the plot is a study, and the effect size and confidence intervals are also represented. You may have noticed, the Cochrane logo is a forest plot. That forest plot is from a review that changed clinical practice with regard to the use of corticosteroids in women at risk for pre-term birth.

Browse the tabs at the top of this page to learn more about other types of evidence synthesis: Meta Analysis, Scoping Review, Rapid Review, and Umbrella Review.

Navigate the menu on the left for information on Systematic Searching TipsTools & Resources, and Library Help for your review.