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
Introdução à Revisões Sistemáticas e Metanálises
4.7
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Universidade Johns Hopkins
Programa - O que você aprenderá com este curso
Semana
11 hora para concluir
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.
5 vídeos (total de (Total 40 mín.) min), 3 leituras
5 videos
Lecture 1A : Introduction to Systematic Reviews15min
Lecture 1B: Introduction to Meta-Analysis12min
Lecture 1C: Producers and Users of Systematic Reviews8min
Hannah Rothstein, PhD1min
3 leituras
Syllabus10min
Pre Course Survey10min
From the Field Videos10min
Semana
24 horas para concluir
Framing the Question
In this module, we will discuss how to frame a question, as well as scope, elements, and refining the question.
7 vídeos (total de (Total 73 mín.) min), 1 leitura, 2 testes
7 videos
Lecture 2B: Deciding the Type and Scope of Your Question17min
Lecture 2C: Elements of the Question16min
Lecture 2D: Refining the Question10min
Lecture 2E: Some Examples8min
Lecture 2F: Analytic Frameworks10min
Betsy Becker, PhD2min
1 leituras
Welcome to the first Peer Assignment!10min
1 exercício prático
Module 210min
Semana
32 horas para concluir
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.
11 vídeos (total de (Total 119 mín.) min), 2 testes
11 videos
Lecture 3A: Finding the Evidence: Searching Principles5min
Lecture 3B: Identifying Key Sources and Techniques for Searching17min
Lecture 3C: Building a High-Quality Search Strategy17min
Lecture 3D: Documenting Your Search and Conclusions8min
Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis7min
Lecture 4B: Selection Bias18min
Lecture 4C: Information Bias8min
Lecture 4D: Bias in the Analysis15min
Lecture 4E: Displaying Study "Quality" in Your Systematic Review16min
Byron Wallace, Phd2min
2 exercícios práticos
Module 310min
Module 410min
Semana
42 horas para concluir
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.
9 vídeos (total de (Total 88 mín.) min), 2 testes
9 videos
Lecture 5B: Selection Bias22min
Lecture 5C: Information Bias12min
Lecture 5D: Bias in the Analysis15min
Lecture 5E: Reporting Transparently6min
Lecture 6A: Qualitative Synthesis and Interpreting Results Section A7min
Lecture 6B: What is Qualitative Synthesis10min
Lecture 6C: Some Examples5min
Christopher Schmid, PhD1min
2 exercícios práticos
Module 510min
Module 610min
Semana
52 horas para concluir
Planning the Meta-Analysis and Statistical Methods
This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis.
9 vídeos (total de (Total 109 mín.) min), 2 testes
9 videos
Lecture 7A: Planning Your Meta-Analysis Section A7min
Lecture 7B: Introduction to Meta-Analysis15min
Lecture 7C: Why Do a Meta-Analysis?10min
Lecture 7D: Types of Data and Effect Measures19min
Lecture 8A: Fixed Effect Model20min
Lecture 8B: Random Effects Model14min
Lecture 8C: Random Effects Model17min
Michael Borenstein, PhD2min
2 exercícios práticos
Module 710min
Module 810min
Semana
62 horas para concluir
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.
2 vídeos (total de (Total 13 mín.) min), 1 leitura, 1 teste
1 leituras
Welcome to Your Final Peer Review Assignment10min
31%
comecei uma nova carreira após concluir estes cursos
22%
consegui um benefício significativo de carreira com este curso
11%
recebi um aumento ou promoção
Melhores avaliações
Although introductory, I do carry out reviews as a researcher. I Learned a lot to improve my systematic reviews through this course. High quality, though the music could be a little less intense.
Incredible course! You learned a lot from these amazing professors. If you take this course you will know how to do a high quality systematic review and even a meta analysis and publish them.
Instrutores
Tianjing Li, MD, MHS, PHD
Assistant Professor, EpidemiologyBloomberg School of Public Health
Kay Dickersin, PhD
Professor, EpidemiologyBloomberg School of Public Health
Sobre Universidade Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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