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Systematic Review & Meta-Analysis Course
            January 8-9, 2013
            “Summary Slides”
   SohailBajammal, MBChB, MSc, FRCSC, PhD(c)
           SohaElmorsy, MD, PhD, MSc



                   KAMCResearch
                research@kamc.med.sa
                  KAMCResearch.org
Acknowledgements
             Big Thank You
   KAMC Research Center
      Dr. DoaaAbdelmotey
      Dr. RawanIkram
      Ms. RaniaFelemban


   KAMC CPD Administration
      Ms. Huda Altalhi
      Ms. NisreenAlhazmi
      Johnny Fagyan
      Eng. Mohammad Alqethami
      Mr. MazinJizani
      Mr. Mohammad Alabbasi
How to Conduct
a Systematic Review/Meta-Analysis
      1. Ask Research Question

      2. Search the Literature

      3. Select the Studies

      4. Appraise the Studies

      5. Extract the Data

      6. Summarize the Data

      7. Reporting
Systematic Review & Meta-Analysis
         Definitions & Importance

   A systematic review:a review of a clearly formulated question that
    uses systematic and explicit methods to identify, select, and
    critically appraise relevant research, and to collect and analyze
    data from the studies that are included in the review.

   Statistical methods (meta-analysis) may or may not be used to
    analyze and summarize the results of the included studies.

   Meta-analysis:the use of
    statistical techniques in a
    systematic review to
    integrate the results of
    included studies.
Cochrane Collaboration Definition
                                    DiCenso A, Bayley L, Haynes RB. Accessing preappraised evidence: fine-tuning the 5S model
                                    into a 6S model. ACP Journal Club, 2009
Types of Reviews

                         Narrative                 Systematic
    Feature
                      “Review Article”            Review Study
    Question                   Broad                    Focused

Sources and Search      Not usually specified       Comprehensive

    Selection           Not usually specified   Criterion based selection

    Appraisal                 Variable             Rigorous appraisal

    Synthesis             Often qualitative        Often quantitative

    Inferences       Sometimes evidence based   Usually evidence based
1. Ask Research Question



P   • Population

I   • Intervention

C   • Comparator

O   • Outcome

S   • Study design

T   • Time frame
2. Search the Literature


   Strategy
       Keywords (synonyms & spellings) &MeSH: for each concept of the PICOS
       Combine terms within concept with OR
       Combine between concepts with AND

   Multiple sources
       Published:
            Electronic Databases (time frame): MEDLINE, EMBASE, Cochrane, CINAHL, AMED
            Hand Search: Journals, Reference lists of included studies
       Unpublished (grey literature): authors/experts, conference proceedings,
        companies, trials registry

   Process
       Done by at least 2 reviewers, assess agreement & solve disagreement
       Documentation of every step
Hands-on PubMed Search




             Develop a Search STRATEGY
               • Keywords
               • MeSH terms
               • Publication Type
               • Automatic Term Mapping
               • Limits: Dates, Languages, Species, Ages
               • Advanced Search & History
3. Select the Studies


   2 reviewers apply inclusion/exclusion criteria:
       Screening of titles & abstract
       Assessment of full text for eligibility
       Final inclusion of studies

   Remove duplicate publications

   Record reasons for exclusion

   Assess agreement (kappa)
4. Appraise the Studies


   2 reviewers assess for risk of bias in included studies:
       Scoring scales: e.g., Jadad, Detsky (not recommended by
        PRISMA or Cochrane)
       Domains: random sequence generation, allocation
        concealment, blinding, loss of follow-up


   Resolve disagreement by consensus or third reviewer

   What to do with poor quality studies?
       ? Exclude
       ? Sensitivity analysis
       ? Weighting in meta-analysis
5. Extract the Data

                                                     Data
    Pilot the extraction form                     Extraction
                                                     Form

    2 reviewers                                     Quality
                                     Study                      Outcome
                                                   Assessment
                                 Characteristics                Measures
                                                     Criteria
    Consider e-form




        Study            Study Quality                    Study
    Characteristics         Criteria                     Outcomes
6. Summarize the Data

   Qualitative (systematic review)

   Quantitative (meta-analysis)
       When to do a meta-analysis?
       Choice of summary statistics
            Dichotomous outcome: OR, RR, RD
            Continuous outcome: mean difference, weighted or standardized
            Time to event: HR
       Fixed effects or Random effects
       Forest plot
       Heterogeneity testing
       Funnel plot
       Sensitivity analysis
       Subgroup analysis
Hands-on RevMan Exercise
7. Reporting
Other Activities by KAMCResearch




                              KAMCResearch

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Systematic Review & Meta-Analysis Course - Summary Slides

  • 1. Systematic Review & Meta-Analysis Course January 8-9, 2013 “Summary Slides” SohailBajammal, MBChB, MSc, FRCSC, PhD(c) SohaElmorsy, MD, PhD, MSc KAMCResearch research@kamc.med.sa KAMCResearch.org
  • 2.
  • 3. Acknowledgements Big Thank You  KAMC Research Center  Dr. DoaaAbdelmotey  Dr. RawanIkram  Ms. RaniaFelemban  KAMC CPD Administration  Ms. Huda Altalhi  Ms. NisreenAlhazmi  Johnny Fagyan  Eng. Mohammad Alqethami  Mr. MazinJizani  Mr. Mohammad Alabbasi
  • 4. How to Conduct a Systematic Review/Meta-Analysis 1. Ask Research Question 2. Search the Literature 3. Select the Studies 4. Appraise the Studies 5. Extract the Data 6. Summarize the Data 7. Reporting
  • 5. Systematic Review & Meta-Analysis Definitions & Importance  A systematic review:a review of a clearly formulated question that uses systematic and explicit methods to identify, select, and critically appraise relevant research, and to collect and analyze data from the studies that are included in the review.  Statistical methods (meta-analysis) may or may not be used to analyze and summarize the results of the included studies.  Meta-analysis:the use of statistical techniques in a systematic review to integrate the results of included studies. Cochrane Collaboration Definition DiCenso A, Bayley L, Haynes RB. Accessing preappraised evidence: fine-tuning the 5S model into a 6S model. ACP Journal Club, 2009
  • 6. Types of Reviews Narrative Systematic Feature “Review Article” Review Study Question Broad Focused Sources and Search Not usually specified Comprehensive Selection Not usually specified Criterion based selection Appraisal Variable Rigorous appraisal Synthesis Often qualitative Often quantitative Inferences Sometimes evidence based Usually evidence based
  • 7. 1. Ask Research Question P • Population I • Intervention C • Comparator O • Outcome S • Study design T • Time frame
  • 8. 2. Search the Literature  Strategy  Keywords (synonyms & spellings) &MeSH: for each concept of the PICOS  Combine terms within concept with OR  Combine between concepts with AND  Multiple sources  Published:  Electronic Databases (time frame): MEDLINE, EMBASE, Cochrane, CINAHL, AMED  Hand Search: Journals, Reference lists of included studies  Unpublished (grey literature): authors/experts, conference proceedings, companies, trials registry  Process  Done by at least 2 reviewers, assess agreement & solve disagreement  Documentation of every step
  • 9. Hands-on PubMed Search Develop a Search STRATEGY • Keywords • MeSH terms • Publication Type • Automatic Term Mapping • Limits: Dates, Languages, Species, Ages • Advanced Search & History
  • 10. 3. Select the Studies  2 reviewers apply inclusion/exclusion criteria:  Screening of titles & abstract  Assessment of full text for eligibility  Final inclusion of studies  Remove duplicate publications  Record reasons for exclusion  Assess agreement (kappa)
  • 11. 4. Appraise the Studies  2 reviewers assess for risk of bias in included studies:  Scoring scales: e.g., Jadad, Detsky (not recommended by PRISMA or Cochrane)  Domains: random sequence generation, allocation concealment, blinding, loss of follow-up  Resolve disagreement by consensus or third reviewer  What to do with poor quality studies?  ? Exclude  ? Sensitivity analysis  ? Weighting in meta-analysis
  • 12. 5. Extract the Data Data  Pilot the extraction form Extraction Form  2 reviewers Quality Study Outcome Assessment Characteristics Measures Criteria  Consider e-form Study Study Quality Study Characteristics Criteria Outcomes
  • 13. 6. Summarize the Data  Qualitative (systematic review)  Quantitative (meta-analysis)  When to do a meta-analysis?  Choice of summary statistics  Dichotomous outcome: OR, RR, RD  Continuous outcome: mean difference, weighted or standardized  Time to event: HR  Fixed effects or Random effects  Forest plot  Heterogeneity testing  Funnel plot  Sensitivity analysis  Subgroup analysis
  • 16. Other Activities by KAMCResearch KAMCResearch