How To Systematic Review & Meta Analyze

Master the Art of Crafting Impactful SRs for Peer-Reviewed Journals

What you'll learn

Master the Basics – Understand systematic reviews & meta-analyses in evidence-based research.

Conduct a Review – Formulate a question, search, screen, extract data, and assess quality.

Perform a Meta-Analysis – Learn statistical methods to synthesize data, calculate effect sizes, assess heterogeneity, and interpret forest plots.

Publish Findings – Write, follow PRISMA, and submit for publication.

Requirements

No prior experience required – beginners welcome!

Basic understanding of research concepts is helpful but not necessary.

Access to a computer with internet for literature searches and data analysis.

Familiarity with statistical tools (e.g., RevMan, R, or Stata) can be beneficial but will be covered in the course.

Description

Are you looking to master the process of conducting systematic reviews and meta-analyses for academic, clinical, or publication purposes? This course provides a step-by-step, practical guide to help you design, conduct, and publish high-quality systematic reviews and meta-analyses.Whether you’re a researcher, medical professional, or student, this course will equip you with the essential skills to formulate a research question, perform a comprehensive literature search, assess study quality, extract data, and apply meta-analysis techniques using statistical tools. You will also learn how to interpret results, avoid common pitfalls, and prepare your review for journal submission following PRISMA guidelines.By the end of this course, you will have the confidence to conduct and publish your own systematic review and meta-analysis, contributing valuable evidence to your field. No prior experience required—ideal for beginners and advanced learners alike!What You’ll Learn:Understand the principles of systematic reviews and meta-analyses and why they’re critical in evidence-based research.Develop a structured approach to formulating a research question, creating a study protocol, and defining inclusion and exclusion criteria.Master the art of conducting a comprehensive literature search, utilizing key databases like PubMed, Cochrane, and Embase, as well as grey literature sources.Learn how to screen studies efficiently using tools like Rayyan, extract essential data, and ensure quality control throughout the process.Gain expertise in risk of bias assessment and grading evidence using recognized tools like Cochrane Risk of Bias, ROBINS-I, and the GRADE system.Understand how to calculate and interpret effect sizes, assess heterogeneity, and create forest plots for meta-analysis.Get hands-on experience using software such as RevMan, R, Stata, and MetaXL to conduct a meta-analysis, including subgroup and sensitivity analyses.Learn how to write a clear, structured manuscript using PRISMA guidelines, prepare figures and tables for publication, and navigate the peer review process.

Overview

Section 1: Introduction

Lecture 1 About Us

Lecture 2 What is a Systematic Review?

Lecture 3 What is a Meta-Analysis?

Section 2: Developing a Research Question & Protocol

Lecture 4 Formulating a PICO(T) Question

Lecture 5 Registering a Systematic Review (PROSPERO)

Section 3: Literature Search Strategy

Lecture 6 Choosing Databases (PubMed, Cochrane, Embase, etc.)

Lecture 7 How to Port from PubMed to Rayyan.Ai

Lecture 8 Searching Grey Literature & Unpublished Studies

Section 4: Study Selection & Data Extraction

Lecture 9 Using Rayyan for Efficient Screening

Lecture 10 Data Extraction Best Practices

Section 5: Introduction to Meta-Analysis

Lecture 11 How to do a Meta

Lecture 12 How to Run Statistics in SPSS

Section 6: Reporting & Publishing Your Review

Lecture 13 Writing a Manuscript Using PRISMA Guidelines

Lecture 14 Submitting to a Journal & Responding to Peer Review

Lecture 15 Common Pitfalls & How to Avoid Them

Researchers, medical professionals, students, and anyone interested in evidence-based research who want to learn how to conduct systematic reviews and meta-analyses for academic, clinical, or publication purposes.