Introduction to Systematic Reviews

Course Description

Systematic reviews and meta-analyses are increasingly used for evidence-based clinical and public health practice. Health-care professionals need to understand and critique this research design. This course will present an overview of the methodology specifically related to the conduct and interpretation of systematic reviews. It will cover the strengths, potential bias and limitations of systematic review methods, and provide step-by-step guidance on how to actually perform and report a systematic review. Specific details regarding appropriate methods to ensure that results of the systematic review are appropriate for future meta-analysis will also be addressed. Individuals interested in meta-analysis of results obtained from systematic reviews are encouraged to also enroll in our additional EPIC courses: Meta-Analysis of Observational Data and/or Network Meta-Analysis.

Course Objectives

By the end of the course, students will be able to:

  • Understand the concept and principles of systematic reviews
  • Describe the different steps of a systematic review (framing question, identifying literature, assessing the risk of bias of the studies, summarizing evidence, interpreting findings)
  • Know the reporting guidelines in this field (PRISMA)



Course Reading List
  • Murad et al. How to read a systematic review and meta-analysis and apply the results to patient care: users' guides to the medical literature. JAMA. 2014;312(2):171-9
  • Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, et al. (2009) The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration. PLoS Med 6(7): e1000100
  • Higgins JPT, Green S (editors). Cochrane Handbook for Syst-ematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. Available from Chapters 4-12, 13, 21.



Anna Chaimani

Anna Chaimani is a Junior Chair at Paris Descartes University. She studied mathematics and then obtained a MSc in Biostatistics from the University of Athens in 2011 and a PhD in Epidemiology from the University of Ioannina School of Medicine, Greece in 2014. Her research interests focus on methodology for pairwise and network meta-analysis. She has worked on models for small-study effects for network meta-analysis and network meta-epidemiological models. She also works on software development for meta-analysis and she is the author of the network graphs package in Stata. She is a close collaborator of the Comparing Multiple Interventions Methods Group of The Cochrane Collaboration and has worked on the incorporation of network meta-analysis in Cochrane Reviews including the preparation of a new chapter for network meta-analysis in the Cochrane Handbook for Systematic Reviews of Interventions. She has published to date 25 peer-reviewed articles indexed in PubMed.

Course Fee

Registration for this course is $200.00


The registration period has closed for this event.


Hammer LL107

Hammer Health Sciences Building
701 West 168th Street
New York, NY 10032

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