CERTaIN: Knowledge Synthesis: Systematic Reviews and Clinical Decision Making

Course
en
English
12 h
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  • From www.edx.org
Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
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  • Introductive Level

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Course details

Syllabus

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  • How to search published and unpublished materials on topic of interest in a systematic and repeatable manner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

Meta-Synthesis

  • 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

Prerequisite

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

Instructors

Maria E. Suarez-Almazor, MD, PhD
Barnts Family Distinguished Professor
The University of Texas MD Anderson Cancer Center

Maria A. Lopez-Olivo, MD, PhD
Assistant Professor
The University of Texas MD Anderson Cancer Center

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