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Evidence Synthesis

This research guide provides an overview of the evidence synthesis process, guidance documents for conducting evidence synthesis projects, and links to resources to help you conduct a comprehensive and systematic search of the scholarly literature.

Types of Evidence Synthesis

Evidence synthesis refers to any method of identifying, selecting, and combining results from multiple studies. For help selecting a methodology, try the Cornell University review methodology decision tree. 

 

Types of evidence synthesis include: 

 

Narrative Literature Reviews
  • Provides an overview and critical discussion of the literature on a broad topic and a qualitative summary without a strict methodology. 
  • Search strategies, comprehensiveness, and time range covered will vary and do not follow an established protocol.

 

 Scoping Reviews
  • Maps the existing literature on a broad topic and identifies gaps in research.
  • May critically evaluate existing evidence, but does not attempt to synthesise the results in the way a systematic review would.

 

Mapping Reviews
  • This type of review will incorporate a geographical mapping exercise or charting of the data in a tabular or any other visual format that can plot or portray the data.

 

 Rapid Reviews
  • Quickly summarise evidence for decision-making, often under time constraints.
  • Applies "Systematic Review" methodology within a time-constraint setting.

 

 Systematic Reviews

  • Provides a high-quality, unbiased summary of research on a specific question.
  • Compares, evaluates, and synthesises evidence in a search for the effect of an intervention.
  • The most commonly referred to type of evidence synthesis.
  • Sometimes confused as a blanket term for other types of reviews.

 

Umbrella Reviews (Review of Reviews)
  • Synthesises evidence from multiple systematic reviews on a broader topic.
  • Most useful when there are competing interventions to consider.

 

 Meta-Analysis
  • Statistical technique for combining the findings from disparate quantitative studies.
  • Uses statistical methods to objectively evaluate, synthesise, and summarise results.
  • May be conducted independently or as part of a systematic review.

 

 

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