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Introduction to meta-analysis in Review Manager (RevMan). Ewelina Rogozinska CT Data Assistant/Researcher Women's Health Research Unit. Formulate research question. Search bibliographic databases. Design search strategy. The systematic review process.
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Introduction to meta-analysis in Review Manager (RevMan). Ewelina Rogozinska CT Data Assistant/Researcher Women's Health Research Unit
Formulate research question Search bibliographic databases Design search strategy The systematic review process Further selection of primary studies using inclusion criteria Identify possible papers from titles/abstracts Retrieve papers Formulate research / policy conclusions Quality appraisal Synthesis Extract data
Session overview Brief introduction What do we use RevMan for? Setting up RevMan file Practical part Adding studies Add outcome Data entry Conducting meta-analysis Add new comparison Introducing subgroups Generating plots and graphs Introduction to meta-analysis in RevMan Ewelina Rogozinska
Working with RevMan • Review Manager (RevMan) - software used for preparing and maintaining Cochrane Reviews. • You can use RevMan for protocols and full reviews. • It is most useful when you have formulated the question for the review and allows you to: • prepare the text, • build the tables showing the characteristics of studies and the comparisons in the review, • add study data, • perform meta-analyses and • present the results graphically. • It can be downloaded from Cochrane web page http://ims.cochrane.org/revman
Tasks Introduction to meta-analysis in RevMan Ewelina Rogozinska • Add two new studies: Mardones 2007 and Zhou 2012 • Add new outcome ‘Birth weight (g)’ under comparison ‘Fish oils’ and specify: • Type of data: continuous • Analysis model: random • Effect measure: mean difference • Analysis details: totals and subtotals • Graph details • To outcome ‘Birth weight (g)’ add studies: Mardones 2007 and Zhou 2012 • Transfer earlier extracted data for birth weight from these two studies
Tasks Introduction to meta-analysis in RevMan Ewelina Rogozinska • Create new comparison‘Diet and fish oils’ and specify: • Type of data: dichotomous • Stat method: Mantel-Haenszel • Analysis model: random • Effect measure: Risk Ratio • Analysis details: totals and subtotals • Graph details: scale 10.0 • Add studies and create two subgroups: • First: diet • Second: fish oils • For outcome ‘Pre-eclampsia (PET)’ generate: • Forest plot; • Funnel plot • Risk of bias graph