Systematic Review & Meta-analysis

One study can never be enough to provide an adequate evidence. Systematic review does not simply summarize the results of the previous studies, but it analyze the evidence provided by each study to draw meaningful and statistically valid conclusion (Meta-analysis). Each year the number of published systematic review & meta-analysis is increased reaching up to 28,959 systematic review & 9,135 meta-analysis by 2014. However, with the increased number of published studies comes the risk of low quality studies which creates a threat on implementing the results of these studies in daily practice. Thus, knowing how to conduct & how to assess the quality of systemic reviews & meta-analysis is essential for proper evidence based medical practice.

Course: 6 days [18 hours] (Live)

Certificates are accredited by the Egyptian Association for Continuing Medical Education and Development

Items:

Systematic Review (3 days): 

1. Difference between narrative and systematic review
2. Features of systematic review
3. Limitations of systematic review
4. Conducting a systematic review:

• Formulating a research question
• Building up your search strategy:
• Different information resources
• How to conduct an electronic search

5. How to register your systematic review protocol

   6. Using reference management software for filtering literature

   7. Using Rev manager to build up your systematic review

   8.  Quality assessment

• Assessing different risk of bias
• Different tools for different study designs

    9. Items of PRISMA Checklist for optimal reporting of systematic review and meta-analysis

Meta-analysis (3 days):

   1. Basic statistical concepts:

   2. Logistic behind meta-analysis.

   3. Basics of meta-analysis

   4. Effect size:

• Basic characteristics
• Calculation of common Effect size: standardized mean of the difference, Absolute risk difference, Odds ratio and Relative risk
• Computing the unbiased EF
• Weighting by inverse variance

    5. Pooling of effect size, calculation of standard error, confidence interval of mean and testing statistical significance.

    6. Testing heterogeneity, Q Statistics, statistical significance and I2

    7. Fixed versus random model:

• Choosing the appropriate model for your study and logic behind each.
• Execution of meta-analysis by hand and basic calculator

   8. Publication bias:

   9.  Sensitivity analysis

   10. What should one report in meta-analysis.

   11. Introduction to Network meta-analysis.

   12. Hands on Meta-analyst software.