Interested in conducting a systematic review? The Health Sciences Library’s Systematic Review Lunchtime Summer Workshop Series will get you started in seven bite-sized sessions. Sign up for all of them, or just the ones you need.
This free virtual series will provide researchers in any discipline with the tools and resources to confidently navigate the systematic review process.
This series is intended for individuals and research teams who are planning to conduct a systematic review or want more information about systematic reviews. No prior knowledge or experience with systematic reviews is required.
You must be a UNC-Chapel Hill or UNC Medical Center affiliate to register.
No! All sessions will be hosted virtually via Zoom by librarians and systematic review experts from the Health Sciences Library.
We’ve broken down the systematic review process from ideation through publication into seven one-hour lessons. Each lunchtime session is on Wednesday and runs from noon to 1 p.m.
You will receive an email with a Zoom link for each session you register for.
Register by session at: go.unc.edu/SRW
A systematic review is a literature review that gathers all of the available evidence matching pre-specified eligibility criteria to answer a specific research question. It uses explicit, systematic methods, documented in a protocol, to minimize bias, provide reliable findings, and inform decision-making. ¹
Before beginning a systematic review, consider whether it is the best type of review for your question, goals, and resources. The table below compares a few different types of reviews to help you decide which is best for you.
Systematic Review | Scoping Review | Systematized Review |
---|---|---|
Conducted for Publication | Conducted for Publication | Conducted for Assignment, Thesis, or (Possibly) Publication |
Protocol Required | Protocol Required | No Protocol Required |
Focused Research Question | Broad Research Question | Either |
Focused Inclusion & Exclusion Criteria | Broad Inclusion & Exclusion Criteria | Either |
Requires Large Team | Requires Small Team | Usually 1-2 People |
For more information, see Covidence Academy's blog post comparing Systematic and Scoping Reviews.
Systematic Reviews: a Simplified, Step-by-Step Process © 2021 by Emily P. Jones & Michelle Cawley is licensed under CC BY-NC 4.0.
Systematic reviews follow established guidelines and best practices to produce high-quality research. Librarian involvement in systematic reviews is based on two levels. In Tier 1, your research team can consult with the librarian as needed. The librarian will answer questions and give you recommendations for tools to use. In Tier 2, the librarian will be an active member of your research team and co-author on your review. Roles and expectations of librarians vary based on the level of involvement desired. Examples of these differences are outlined in the table below.
Tasks | Tier 1: Consultative | Tier 2: Research Partner / Co-author |
---|---|---|
Topic Development | ||
Guidance on process and steps | Yes | Yes |
Background searching for past and upcoming reviews | Yes | Yes |
Development of Eligibility Criteria | ||
Development and/or refinement of review topic | Yes | Yes |
Assistance with refinement of PICO (population, intervention(s), comparator(s), and key questions | Yes | Yes |
Guidance on study types to include | Yes | Yes |
Protocol Creation and Registration | ||
Guidance on protocol registration | Yes | Yes |
Searching | ||
Identification of databases for searches | Yes | Yes |
Instruction in search techniques and methods | Yes | Yes |
Training in citation management software use for managing and sharing results | Yes | Yes |
Development and execution of searches | No | Yes |
Downloading search results to citation management software and removing duplicates | No | Yes |
Documentation of search strategies | No | Yes |
Management of search results | No | Yes |
Study Selection and Extraction | ||
Guidance on methods | Yes | Yes |
Guidance on data extraction, and management techniques and software | Yes | Yes |
Writing and Publishing | ||
Suggestions of journals to target for publication | Yes | Yes |
Drafting of literature search description in "Methods" section | No | Yes |
Creation of PRISMA diagram | No | Yes |
Drafting of literature search appendix | No | Yes |
Review other manuscript sections and final draft | No | Yes |
Librarian contributions warrant co-authorship | No | Yes |
Advancements in AI, automation, and language processing are increasingly influencing the creation and use of evidence syntheses. AI language models (e.g., ChatGPT, Claude) and automation tools (e.g., ASReview, Laser AI, DistillerSR) offer new possibilities for tasks like search strategy development, screening and data extraction, risk of bias assessment, and writing evidence syntheses. These tools can significantly speed up the process of producing or updating evidence syntheses, benefiting researchers and users alike. However, understanding the strengths and limitations of these technologies is critical to maintaining quality.
In this webinar series, Cochrane explores the role of AI in evidence synthesis, examines how it can complement traditional methods and provides a platform for experts to discuss the opportunities, challenges, and risks involved. This series targets those with foundational knowledge of systematic reviews who want to stay updated on AI developments in evidence synthesis.
This webinar series was developed in collaboration with Waldemar Siemens and Joerg Meerpohl, who are affiliated with Cochrane Germany and the Institute of Evidence in Medicine, Medical Center – University of Freiburg, Germany. The series is based on the Methods Forum 2024 by Cochrane Germany (cochrane.de/methodenforum-2024), organised by Waldemar Siemens and Joerg Meerpohl.
Webinar recordings and slides are available on the Cochrane Artificial Intelligence (AI) methods in evidence synthesis website.
UNC Health Sciences Librarians partner on systematic reviews and can apply three different types of predictive AI based on the project's needs. You can find more information on each type on our How Does Predictive AI/ML Work? page.
The following are systematic and scoping reviews co-authored by HSL librarians.
Only the most recent 15 results are listed. Click the website link at the bottom of the list to see all reviews co-authored by HSL librarians in PubMed
Researchers conduct systematic reviews in a variety of disciplines. If your focus is on a topic outside of the health sciences, you may want to also consult the resources below to learn how systematic reviews may vary in your field. You can also contact a librarian for your discipline with questions.
Education
Environmental Topics
Social Sciences
Social Work
Software engineering
Sport, Exercise, & Nutrition
Updating reviews