
Systematic Review and Meta-Analysis
Stepwise Approach for Medical and Biomedical Researchers
- 1st Edition - November 29, 2024
- Imprint: Academic Press
- Editors: Mahsa Ghajarzadeh, Sara Hanaei, Nima Rezaei
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 4 2 8 - 9
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 4 2 7 - 2
Systematic Review and Meta-Analysis: Stepwise Approach for Medical and Biomedical Researchers presents a step-by-step approach to develop systematic reviews and meta-a… Read more

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Request a sales quoteInitially, systematic review and meta-analysis were exclusive to clinical trials, however systematic reviews of observational and diagnostic studies have expanded, making it essential for members of the field to master those techniques. This practical reference is a valuable resource for biostaticians, researchers, students, and members of medical and biomedical fields who need to understand more about systematic reviews and meta-analysis in their research work.
- Discusses systematic reviews and meta-analysis in a simple and easy to use way that is independent of previous background
- Presents the essentials of techniques, allowing readers to adapt them to their needs
- Encompasses practical examples and multimedia content to guarantee the applicability of the lessons
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Contributors
- Preface
- Chapter 1. Medical research: Steps toward scientific advancement
- Why did we write this book?
- Chapter 2. Research methodology: Primary versus secondary studies
- Introduction
- Types of studies
- Observational studies
- Case reports/case series
- Ecologic studies
- Cross-sectional studies
- Case-control studies
- Strengths of a case-control study
- Limitations of case-control studies
- Cohort studies
- Prospective cohort studies
- Retrospective cohort studies
- Strengths of cohort studies
- Limitations of cohort studies
- Interventional studies
- Advantages of RCTs
- Disadvantages
- Secondary studies
- Narrative reviews
- Chapter 3. Why do we need systematic reviews?
- Conclusions
- Chapter 4. Registering the protocol and structure the question
- What is prospective register of systematic reviews [2]?
- All sections with an asterisk are mandatory
- Chapter 5. Systematic search for a systematic review
- Introduction
- What is a scoping search?
- How should we do a scoping search?
- What is syntax?
- Search sources
- Bibliographic databases
- MEDLINE
- Embase
- Scopus
- Web of Science
- Grey literature
- MeSH terms in PubMed
- Exact phrases
- Tags
- PubMed
- Embase
- Scopus
- Web of Science
- Operators
- PubMed syntax
- Inclusive search strategy for PubMed
- Embase search strategy
- Scopus search strategy
- Web of science strategy
- Summary
- Chapter 6. Search record screening
- Introduction
- Exporting search results
- PubMed
- Embase
- Scopus
- Web of Science
- Merging search records
- Screening process
- Screening softwares
- Chapter 7. Data extraction
- Introduction
- Step 1: Develop a data extraction form
- Step 2: Collaborative oversight
- Step 3: Data extraction by two independent reviewers and quality checks
- Step 4: Document the data extraction process
- Conclusion
- Chapter 8. Assessment of risk of bias in included studies
- Types of quality assessment tools
- Introduction
- Jadad scale
- Cochrane Risk of Bias Tool
- Risk of bias assessment using the ROBINS-I tool
- Overview of the ROBINS-I tool
- Domains and questions of the ROBINS-I tool
- Overall risk of bias rating
- Conclusion
- QUADAS-2
- Joanna Briggs Institute
- JBI critical appraisal checklist for analytical cross-sectional studies
- JBI critical appraisal checklist for case-control studies
- JBI instrument could be used to evaluate the quality of case-control studies, including the following items
- JBI critical appraisal checklist for case reports
- JBI critical appraisal checklist for case series
- JBI Critical Appraisal Checklist for Cohort Studies
- Newcastle–Ottawa Scale (NOS)
- NOS critical appraisal for cross-sectional studies
- Chapter 9. Data synthesis
- What is data synthesis
- What is meta-analysis and why it is useful?
- How meta-analysis may help us?
- Types of data
- Heterogeneity
- Heterogeneity will be discussed in details in Chapter 13
- Two statistical models are commonly used for meta-analysis
- 0Summary estimates
- Odds ratio (OR)
- Risk ratio (RR)
- Risk difference (RD)
- Continuous data
- Mean difference (MD)
- Standardized mean difference (SMD)
- Important notes
- Chapter 10. Performing meta-analysis in different softwares
- STATA
- Pooling standardized mean differences (SMDs)
- Pooling odds ratios (ORs)
- Pooling ORs/RRs using original data
- Doing meta-analysis in R software
- Pooling ORs/RRs in R
- Meta-analysis using RevMan
- Meta-analysis using SPSS (statistical package for the social sciences)
- Chapter 11. Interpretation of results in the forest plot
- What is a forest plot?
- Chapter 12. Publication bias and funnel plot
- Introduction
- Publication bias is one of the main threats of meta-analyses
- Why publication bias happens?
- Importance of publication bias
- Assessment of publication bias in meta-analyses
- Funnel plot
- Begg's adjusted rank correlation test
- Trim and fill method
- Funnel plot for standardized mean difference (SMD)
- Chapter 13. Heterogeneity among included studies
- Why measure heterogeneity in meta-analysis?
- How to measure heterogeneity in meta-analysis?
- Introduction
- What is heterogeneity?
- Heterogeneity in a primary study
- Heterogeneity in a meta-analysis
- Identifying and quantifying heterogeneity
- Cochran's Q
- The excess variation
- Ratio of observed to expected variation
- Detecting heterogeneity
- I2
- Tau square (Tau2)
- Methodological options to explore heterogeneity
- Subgroup analysis
- Meta-regression to explain heterogeneity
- Dealing with heterogeneity
- Choosing between fixed and random effects models
- Chapter 14. Missing data in systematic reviews
- Chapter 15. Network meta-analysis
- What is network meta-analysis?
- Steps of conducting NMA
- The first step is defining the review question and eligibility criteria
- Sensitive and comprehensive search
- Data extraction and abstracting data of included studies
- Qualitative evidence synthesis
- Quantitative synthesis
- Interpret results and draw conclusions
- Report findings
- Chapter 16. Quality assessment of systematic reviews
- Q. 1: Did the research questions and inclusion criteria for the review include the components of PICO?
- Q. 2: Did the report of the review contain an explicit statement that the review methods were established prior to the conduct of the review and did the report justify any significant deviations from the protocol?
- Protocols: The blueprint for methodological rigor
- Why it matters: Upholding trust and reliability
- Q. 3: Did the review authors explain their selection of the study designs for inclusion in the review?
- Q. 4: Did the review authors use a comprehensive literature search strategy?
- Q. 5: Did the review authors perform study selection in duplicate?
- Q. 6: Did the review authors perform data extraction in duplicate?
- Q. 7: Did the review authors provide a list of excluded studies and justify the exclusions?
- Q. 8: Did the review authors describe the included studies in adequate detail?
- Q. 9: Did the review authors use a satisfactory technique for assessing the risk of bias (RoB) in individual studies that were included in the review?
- Q. 10: Did the review authors report on the sources of funding for the studies included in the review?
- Q. 11: If meta-analysis was performed did the review authors use appropriate methods for statistical combination of results?
- Q. 12: If meta-analysis was performed, did the review authors assess the potential impact of RoB in individual studies on the results of the meta-analysis or other evidence synthesis?
- Q. 13: Did the review authors account for RoB in individual studies when interpreting/discussing the results of the review?
- Q. 14: Did the review authors provide a satisfactory explanation for, and discussion of, any heterogeneity observed in the results of the review?
- Q. 15: If they performed quantitative synthesis did the review authors carry out an adequate investigation of publication bias (small study bias) and discuss its likely impact on the results of the review?
- Q. 16: Did the review authors report any potential sources of conflict of interest, including any funding they received for conducting the review?
- The need for openness and honesty
- Empowering readers with critical awareness
- Upholding the standards of ethical conduct
- Chapter 17. Scientific writing in a systematic review and Meta-Analyses
- Introduction
- Rational
- Objectives
- Methods
- Eligibility criteria
- Information resources
- Search strategy
- Data collection process
- Data items
- Assessing the risk of bias
- Effect measures
- Data synthesis methods
- Results
- Study selection
- Characteristics of the study
- Results of individual studies
- Report of bias in synthesis
- Certainty of evidence
- Discussion
- Other information
- Support
- Competing interests
- Chapter 18. Ethics in systematic reviews
- Introduction
- Randomized control trials (RCTs)
- Conclusions
- Index
- Edition: 1
- Published: November 29, 2024
- Imprint: Academic Press
- No. of pages: 250
- Language: English
- Paperback ISBN: 9780443134289
- eBook ISBN: 9780443134272
MG
Mahsa Ghajarzadeh
SH
Sara Hanaei
Dr. Sara Hanaei started medicine at TUMS in 2010 and a Master of Public Health (MPH) in 2014. She graduated with MD-MPH in 2018. She also received TUMS Research Diploma (TUMS-RD) in a 2-year study period from 2013-2015. She was a research assistant at the Research Center for Immunodeficiencies (RCID) from 2018-2021 and further continued neurosurgery as a clinical specialty at TUMS in 2021. She has experience in teaching research skills to students. Medical research was one of her greatest interests since the beginning of her academic education, especially in Neurosurgery and Immunology, therefore, she started research in those fields. Over the past decade, she contributed to different research projects, books, and other research activities including instructing research workshops in statistics, systematic reviews, and meta-analysis. She also got involved in executive tasks and developed executive skills in organizing scientific events, congresses, festivals, scoring, rankings, etc. She also co-edited a 2-volume book: - Human Brain and Spinal Cord Tumors: From Bench to Bedside. Volume 1 (Neuroimmunology and Neurogenetics) - Human Brain and Spinal Cord Tumors: From Bench to Bedside. Volume 2 (The Path to Bedside Management). In early 2024, she co-founded Borderless Research, Advancement, and Innovation in Neuroscience Network (BRAINet), which was intended to serve in a multidisciplinary and cross-disciplinary manner and embrace all aspects of neuroscience. On this account, different disciplines in neuroscience may come together in the BRAINet including theoretical and molecular neuroscience, clinical neuroscience (neurology), surgical neuroscience (neurosurgery), and social neuroscience. In the light of the borderless collaboration of seniors and juniors, it is provisioned to promote scientific activities and step forward to advancement and innovation in neuroscience.
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