Abstract
In this chapter, we summarize the key principles involved in designing and conducting a rigorous systematic review focused on an intervention question. We provide key definitions on what systematic reviews and meta-analysis are and how they differ from other types of reviews. We cover the principles for designing a good systematic review question, research team, designing and conducting literature searches, screening and selecting studies, extracting data, assessing the risk of bias of the included studies, conducting qualitative and quantitative syntheses, and appraising the certainty of the body of evidence. Finally, we describe the best tools for reporting a systematic review and meta-analysis and for assessing its quality.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (2019), editors. Cochrane handbook for systematic reviews of interventions. John Wiley & Sons: Sep 23
Guyatt G, Rennie D, Meade M, Cook D (2002) Users’ guides to the medical literature: a manual for evidence-based clinical practice. AMA Press, Chicago
Munn Z, Stern C, Aromataris E, Lockwood C, Jordan Z (2018) What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences. BMC Med Res Methodol 18(1):5
Schünemann HJ, Reviews ML (2015) Rapid! Rapid! Rapid! …and systematic. Syst Rev 4(1):4
Dudden RF, Protzko SL (2011) The systematic review team: contributions of the health sciences librarian. Med Ref Serv Q 30(3):301–315
Pollock A, Campbell P, Struthers C, Synnot A, Nunn J, Hill S et al (2018) Stakeholder involvement in systematic reviews: a scoping review. Syst Rev 7(1):208
Guyatt GH, Oxman AD, Kunz R, Atkins D, Brozek J, Vist G et al (2011) GRADE guidelines: 2. Framing the question and deciding on important outcomes. J Clin Epidemiol 64(4):395–400
Paez A (2017) Gray literature: an important resource in systematic reviews. J Evid Based Med 10(3):233–240
Florez ID, Sierra JM, Niño-Serna LF (2020) Gelatin tannate for acute diarrhoea and gastroenteritis in children: a systematic review and meta-analysis. Arch Dis Child 105(2):141–146
Moher D, Liberati A, Tetzlaff J, Altman DG, Altman D, Antes G et al (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (Chinese edition). J Chinese Integr Med 7(9):889–896
Sterne JA, Hernán MA, Reeves BC, Savović J, Berkman ND, Viswanathan M et al (2016) ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ 355:i4919
Borenstein M, Hedges LV, Higgins JP, Rothstein HR (2010) A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods 1(2):97–111
Borenstein M, Higgins JP, Hedges LV, Rothstein HR (2017) Basics of meta-analysis: I2 is not an absolute measure of heterogeneity. Res Synth Methods 8(1):5–18
Borenstein M, Higgins JP (2013) Meta-analysis and subgroups. Prev Sci 14(2):134–143
Sun X, Briel M, Walter SD, Guyatt GH (2010) Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses. BMJ 340:c117
Egger M, Smith GD, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315(7109):629–634
Debray TP, Moons KG, Riley RD (2018) Detecting small-study effects and funnel plot asymmetry in meta-analysis of survival data: a comparison of new and existing tests. Res Synth Methods 9(1):41–50
Schwarzer G, Carpenter JR, Rücker G (2015) Small-study effects in meta-analysis. Meta-analysis with R. Springer, New York, pp 107–141
Guyatt GH, Oxman AD, Vist GE, Kunz R, Falck-Ytter Y, Alonso-Coello P et al (2008) GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ 336(7650):924–926
Guyatt GH, Oxman AD, Schünemann HJ, Tugwell P, Knottnerus A (2011) GRADE guidelines: a new series of articles in the Journal of Clinical Epidemiology. J Clin Epidemiol 64(4):380–382
Shea BJ, Reeves BC, Wells G, Thuku M, Hamel C, Moran J et al (2017) AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. BMJ 358:j4008
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Science+Business Media, LLC, part of Springer Nature
About this protocol
Cite this protocol
Morgan, R.L., Florez, I.D. (2022). Principles of Systematic Reviews and Meta-analyses. In: Evangelou, E., Veroniki, A.A. (eds) Meta-Research. Methods in Molecular Biology, vol 2345. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1566-9_1
Download citation
DOI: https://doi.org/10.1007/978-1-0716-1566-9_1
Published:
Publisher Name: Humana, New York, NY
Print ISBN: 978-1-0716-1565-2
Online ISBN: 978-1-0716-1566-9
eBook Packages: Springer Protocols