How To Systematic Review & Meta Analyze

How To Systematic Review & Meta Analyze
Published 2/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

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.

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

Description

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)

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

Lecture 7 How to Port from PubMed to Rayyan.Ai

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

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.