CERTaIN: Knowledge Synthesis: Systematic Reviews and Clinical Decision Making

Learn how to interpret and report systematic review and meta-analysis results, and define strategies for searching and critically appraisingscientific literature.

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  • 完成时间大约为 3
  • 初级
  • 英语


Conduct systematic reviews and meta-analyses using academic databases and interpret and report results

Define strategies for critically appraising the literature

Describe economic evaluation methods

Describe how decisions can be made using clinical practice guidelines


Discover practical ways to critically appraise scientific literature, including the conduction and interpretation of systematic reviews and meta-analyses. Additionally, you will learn how to conduct literature searches using online academic databases, hear about economic evaluations, and understand how clinical practice guidelines are used to guide decision making.
This course includes the following 11 lectures:

Overview of Systematic Reviews
Finding and Managing the Evidence from the Biomedical Literature
Intervention Reviews Methodology
Meta-Analysis of Clinical Trials: Direct Comparisons
Introduction to Meta-Analysis: Indirect Comparisons
Meta-Analysis of Non-Randomized Studies
Diagnostic Test Evaluation
Clinical Practice Guidelines
Economic Evaluation
Decision Analysis for Outcomes Research

This course is intended for anyone interested in comparative effectiveness research (CER) and patient-centered outcomes research (PCOR) methods.
This course is supported by grant number R25HS023214 from the Agency for Healthcare Research and Quality.


Overview of Systematic Reviews

Knowledge synthesis and the knowledge-to-action process
Benefits and limitations of systematic reviews
Steps of a systematic review and levels of evidence

Finding and Managing the Evidence from the Biomedical Literature

How to search published and unpublished materials on topic of interest in a systematic and repeatable manner

Intervention Reviews Methodology

How to select and appraise studies
Strategies for collecting and analyzing data
How to report and update systematic reviews

Meta-Analysis of Clinical Trials: Direct Comparisons

Qualitative and quantitative synthesis
Models to use during data analysis
Reporting methods for meta-analyses

Introduction to Meta-Analysis: Indirect Comparisons

Indirect comparisons
Evidence networks
Effect modifiers and how they are a source of bias

Meta-Analysis of Non-Randomized Studies

Risks of bias in non-randomized studies
Meta-regression as a tool to reduce risk of bias
Caveats of meta-regression
Reporting meta-analyses of non-randomized studies

Diagnostic Test Evaluation

Purposes for medical testing
Precision and accuracy
Measures of validity for diagnostic/screening tests
Likelihood ratio for analysis of test performance
ROC curves for analysis of test performance


Methods for collecting and synthesizing data
Reporting of meta-synthesis findings

Clinical Practice Guidelines

Process of guideline development
How evidence is evaluated
How clinical practice guidelines are evaluated and revised

Economic Evaluation

Clinical decision analysis and economic evaluation
Costs and methods for economic evaluation
Cost-effectiveness and cost analysis
Steps for economic evaluation

Decision Analysis for Outcomes Research

Decision analysis and modeling
Markov modeling
Capturing of uncertainty in models
Examples of decision modeling in cancer outcomes research


Introduction course (CERTaIN.1x) recommended, but not required.

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