Introduction to Systematic Review and Meta-Analysis

Johns Hopkins University via Coursera

Go to Course: https://www.coursera.org/learn/systematic-review

Introduction

### Course Review: Introduction to Systematic Review and Meta-Analysis on Coursera **Overview:** In the realm of clinical research, systematic reviews and meta-analyses stand out as pivotal methodologies for synthesizing evidence from multiple studies. The course titled *"Introduction to Systematic Review and Meta-Analysis"* offered on Coursera provides an excellent gateway for individuals looking to delve into these essential research techniques. This course is designed for healthcare professionals, researchers, and anyone interested in enhancing their understanding of evidence-based practice. **Course Structure:** As you embark on this learning journey, the course is structured into six modules, each focusing on a critical aspect of systematic reviews and meta-analyses. Here’s a breakdown: 1. **Introduction:** This module sets the stage by providing a comprehensive overview of systematic reviews and meta-analyses. You will learn about the significance of these methodologies and who typically benefits from the insights they provide. 2. **Framing the Question:** Understanding how to frame an answerable research question is crucial. This module tackles the elements that make a question effective and guides you through the refining process. 3. **Searching Principles and Bias Assessment:** This section delves into the art of evidence searching. You will learn about key sources, developing a search strategy, and assessing the risk of bias in clinical trials—a critical component in maintaining the integrity of your review. 4. **Minimizing Metabias, Qualitative Synthesis, and Interpreting Results:** Here, you’ll explore how to minimize various biases, conduct qualitative syntheses, and develop skills in interpreting research findings transparently and effectively. 5. **Planning the Meta-Analysis and Statistical Methods:** This module shifts focus to the statistical underpinnings of meta-analysis. It covers essential planning strategies and statistical methods, ensuring that learners can apply rigorous analysis to their research data. 6. **Wrap Up and Final Peer Review Assignment:** The final module revisits the key concepts learned and culminates in a peer review assignment, allowing participants to engage critically with their peers' work and to reflect on their learning. **Learning Outcomes:** Upon successful completion of this course, participants will be equipped to: - Describe the entire process of conducting a systematic review, from formulation to execution. - Develop a well-structured and answerable research question using the PICO framework (Participants, Intervention, Comparison, Outcome). - Navigate the research literature effectively, assess biases, and synthesize evidence with confidence. - Implement statistical methods for conducting meta-analyses, thus enhancing the rigor of their research. **Who Should Enroll:** This course is tailored for healthcare professionals, researchers, graduate students, and anyone with a vested interest in conducting systematic reviews. It is particularly beneficial for individuals looking to enhance their skills in evidence synthesis, whether for clinical practice, policy-making, or academic research. **Final Thoughts:** The *Introduction to Systematic Review and Meta-Analysis* course stands out for its comprehensive approach, practical insights, and supportive learning environment. With interactive assignments and a peer review component, participants can apply their knowledge in real-world scenarios, making it a truly enriching experience. **Recommendation:** I highly recommend this course to anyone interested in elevating their research skills and grounding their practice in robust evidence. It is not only informative but also equips you with the tools needed to contribute meaningfully to the field of clinical research. Enroll now to embark on your journey to mastering systematic reviews and meta-analysis; it promises to be a transformative experience for your academic or professional career.

Syllabus

Introduction

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.

Framing the Question

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

Searching Principles and Bias Assessment

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

Minimizing Metabias, Qualitative Synthesis, and Interpreting Results

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

Planning the Meta-Analysis and Statistical Methods

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

Wrap Up and Final Peer Review Assignment

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.

Overview

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 In

Skills

Reviews

The course is a good introduction to the topic, however, it is a pity that there is no follow up to the course. At the end of the course you will not be able to perform a SLR + meta-analysis.

This course helps to learn basics about systematic review and meta-analysis. I recommend this course to the beginners, who wants to do systematic review in future.\n\nThank you John Hopkins!

Very straightforward course. The only issue I found is the last lecture in week 5 suggests there is still more content to be learnt, but there isn't. Maybe they removed some videos overtime.

It is a good courses if you would like to get an idea about systematic review and meta-analysis. It also help the student to read systematic review critically and evaluate its quality.

The course is wonderful, but I hope it can be improved and speak more in detail about the statistic in the meta-analysis such as meta-regression and meta-analysis for observational studies