Introduction to Systematic Review and Meta-Analysis

Introduction to Systematic Review and Meta-Analysis

Instructors: Tianjing Li, MD, MHS, PHD

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Assessments

7 assignments

Taught in English

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There are 6 modules in this course

We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis.

Upon successfully completing this course, participants will be able to: - Describe the steps in conducting a systematic review - Develop an answerable question using the “Participants Interventions Comparisons Outcomes” (PICO) framework - Describe the process used to collect and extract data from reports of clinical trials - Describe methods to critically assess the risk of bias of clinical trials - Describe and interpret the results of meta-analyses

To get the ball rolling, we'll take a broad overview of what to expect in this course and then introduce you to the high-level concepts of systematic review and meta-analysis and take a look at who produces and uses systematic reviews.

What's included

5 videos3 readings

5 videosTotal 40 minutes

Welcome to Systematic Reviews and Meta-Analysis 2 minutesPreview module
Lecture 1A : Introduction to Systematic Reviews15 minutes
Lecture 1B: Introduction to Meta-Analysis12 minutes
Lecture 1C: Producers and Users of Systematic Reviews8 minutes
Hannah Rothstein, PhD1 minute

3 readingsTotal 30 minutes

Syllabus10 minutes
Pre Course Survey10 minutes
From the Field Videos10 minutes

In this module, we will discuss how to frame a question, as well as scope, elements, and refining the question.

What's included

7 videos1 reading1 assignment1 peer review

7 videosTotal 72 minutes

Lecture 2A: Resources for How to Frame Your Question7 minutesPreview module
Lecture 2B: Deciding the Type and Scope of Your Question17 minutes
Lecture 2C: Elements of the Question16 minutes
Lecture 2D: Refining the Question10 minutes
Lecture 2E: Some Examples8 minutes
Lecture 2F: Analytic Frameworks10 minutes
Betsy Becker, PhD2 minutes

1 readingTotal 10 minutes

Welcome to the first Peer Assignment!10 minutes

1 assignmentTotal 30 minutes

Module 230 minutes

1 peer reviewTotal 60 minutes

Peer Assessment 160 minutes

In this module we will look at finding the evidence, as well as key sources, search strategy, and assessing the risk of bias.

What's included

11 videos2 assignments

11 videosTotal 118 minutes

Searching Principles and Assessing Bias 2 minutesPreview module
Lecture 3A: Finding the Evidence: Searching Principles5 minutes
Lecture 3B: Identifying Key Sources and Techniques for Searching17 minutes
Lecture 3C: Building a High-Quality Search Strategy17 minutes
Lecture 3D: Documenting Your Search and Conclusions8 minutes
Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis7 minutes
Lecture 4B: Selection Bias18 minutes
Lecture 4C: Information Bias8 minutes
Lecture 4D: Bias in the Analysis15 minutes
Lecture 4E: Displaying Study "Quality" in Your Systematic Review16 minutes
Byron Wallace, Phd2 minutes

2 assignmentsTotal 60 minutes

Module 330 minutes
Module 430 minutes

In this module, we will cover minimizing metabias, selection bias, information bias, how to report transparently, qualitative synthesis, and interpreting results.

What's included

9 videos2 assignments

9 videosTotal 87 minutes

Lecture 5A: Standards for Systematic Reviews6 minutesPreview module
Lecture 5B: Selection Bias22 minutes
Lecture 5C: Information Bias12 minutes
Lecture 5D: Bias in the Analysis15 minutes
Lecture 5E: Reporting Transparently6 minutes
Lecture 6A: Qualitative Synthesis and Interpreting Results Section A7 minutes
Lecture 6B: What is Qualitative Synthesis10 minutes
Lecture 6C: Some Examples5 minutes
Christopher Schmid, PhD1 minute

2 assignmentsTotal 60 minutes

Module 530 minutes
Module 630 minutes

This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis.

What's included

9 videos2 assignments

9 videosTotal 109 minutes

Planning Meta-Analysis and Statistical Methods 1 minutePreview module
Lecture 7A: Planning Your Meta-Analysis Section A7 minutes
Lecture 7B: Introduction to Meta-Analysis15 minutes
Lecture 7C: Why Do a Meta-Analysis?10 minutes
Lecture 7D: Types of Data and Effect Measures19 minutes
Lecture 8A: Fixed Effect Model20 minutes
Lecture 8B: Random Effects Model14 minutes
Lecture 8C: Random Effects Model17 minutes
Michael Borenstein, PhD2 minutes

2 assignmentsTotal 60 minutes

Module 730 minutes
Module 830 minutes

In this final module, we'll wrap up with a look back at the key concepts covered over the past few weeks. Afterwards, you will submit your final Peer Review Assignment and evaluate some of your classmates' submissions.

What's included

2 videos1 reading1 peer review

Instructors

Instructor ratings

4.7 (884 ratings)

Tianjing Li, MD, MHS, PHD

Johns Hopkins University

1 Course184,766 learners

Kay Dickersin, PhD

Johns Hopkins University

1 Course184,766 learners

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Johns Hopkins University

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Reviewed on May 29, 2020

I feel like it needs some updating to make it a little bit deeper and broader. I also recommend to make calculation section more understandable since most of us have forgotten mathematics.

Reviewed on Mar 21, 2021

Excellent course , I had zero experience on the field and I know is a long path but you have to start somewhere , I know I need to keep learning but this course helped me as a good start

Reviewed on Jan 14, 2020

Really excellent information. Would have appreciated more basic discussion of statistical concepts, or a link to resources for those not as familiar with them or without a background in epidemiology.

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