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Advanced Review is a term used by UNL Libraries to categorize review methods that are conducted systematically and are part of the Evidence Synthesis umbrella of research methods. Evidence Synthesis is a group of methods primarily focused on the analysis of secondary data and marked by the principles of transparency, reproducibility, replicability, and bias reduction. At its most basic level, evidence synthesis is just what it sounds like, a synthesis of the existing evidence on a topic. Many different research methods fall under this umbrella including full Advanced Reviews, like systematic reviews and scoping reviews, as well as many methods for data synthesis that fall outside of our particular scope. See more in the graphic below.
In the literature and across disciplines, 'evidence synthesis' and 'systematic review' are sometimes used interchangeably. However, for greater clarity and precision, we use the term systematic review to mean a specific type of evidence synthesis review that follows set standards and guidelines. Please refer to our Systematic Reviews guide for more information on this type of review.
Advanced reviews fall within a broader category of evidence synthesis. Evidence synthesis includes advanced review frameworks, like systematic reviews, scoping reviews, and qualitative evidence syntheses, and individual synthesis methods that can be used within these frameworks. These include quantitative synthesis methods including meta-analyses and content analyses, and qualitative synthesis methods, including meta-aggregations, meta-syntheses, meta-narratives, concept analyses, thematic syntheses, and meta-ethnographies.

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Copyright 2024, Elle Covington. Open access
License: CC BY 4.0 International
Video produced by Evidence Synthesis Ireland
Be sure to be realistic about the amount of time it will take to conduct a thorough review. Advanced reviews are much more time and resource-intensive than traditional literature reviews and require a multi-person research team, usually 3 or more to meet guidelines and best practices. Advanced reviews may also require the participation of a librarian and a statistician or other specialist in data analysis. These review methods were developed out of a need to provide the highest level of evidence for evidence-based clinical practice, policy-making, and future research. They adapt the scientific method for review to incorporate research integrity and validity into the process. Not every research question is best addressed by an advanced review. Before embarking on an advanced review, it's important to clearly identify your reasons, match your reasons with the most appropriate review method, and fine tune a research question or questions that can feasibly be answered by your chosen methodology.
This table is a further aid in comparing the aims of a traditional literature review with a systematic review.
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Traditional Literature Review |
Advanced Reviews |
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Review Question/Topic |
Topics may be broad in scope; the goal of the review may be to place one's own research within the existing body of knowledge, or to gather information that supports a particular viewpoint. |
Starts with a well-defined research question to be answered by the review. Reviews are conducted with the aim of finding all existing evidence in an unbiased, transparent, and reproducible way. |
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Searching for Studies |
Searches may be ad hoc and based on what the author is already familiar with. Searches are not exhaustive or fully comprehensive. |
Attempts are made to find all existing published and unpublished literature on the research question. The process is well-documented and reported. |
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Study Selection |
Often lack clear reasons for why studies were included or excluded from the review. |
Reasons for including or excluding studies are explicit and informed by the research question. |
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Assessing the Quality of Included Studies |
Often do not consider study quality or potential biases in study design. |
Systematically assesses risk of bias of individual studies and overall quality of the evidence, including sources of heterogeneity between study results. |
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Synthesis of Existing Research |
Conclusions are more qualitative and may not be based on study quality. |
Bases conclusion on quality of the studies and provide recommendations for practice or to address knowledge gaps. |