Abstract
A meta-analysis is the quantitative synthesis of data from two or more individual studies and are as a rule an important method of obtaining a more accurate estimate of the direction and magnitude of a treatment effect. However, it is imperative that the meta-analysis be performed with proper, rigorous methodology to ensure validity of the results and their interpretation. In this article the authors will review the most important questions researchers should consider when planning a meta-analysis to ensure proper indications and methodologies, minimize the risk of bias, and avoid misleading conclusions.
Similar content being viewed by others
Data availability
Not applicable.
References
Arthur W, Zaaza Z, Checketts JX, Johnson AL, Middlemist K, Basener C, Jellison S, Wayant C, Vassar M (2020) Analyzing spin in abstracts of orthopaedic randomized controlled trials with statistically insignificant primary endpoints. Arthroscopy 36:1443-1450.e1. https://doi.org/10.1016/j.arthro.2019.12.025
Begg CB, Mazumdar M (1994) Operating characteristics of a rank correlation test for publication bias. Biometrics 50:1088–1101
Bhandari M, Devereaux PJ, Montori V, Cinà C, Tandan V, Guyatt GH, Evidence-Based Surgery Working Group (2004) Users’ guide to the surgical literature: how to use a systematic literature review and meta-analysis. Can J Surg 47:60–67
Bland M (2015) Estimating mean and standard deviation from the sample size, three quartiles, minimum, and maximum. Int J Stat Med Res 4:57–64
Cohn LD, Becker BJ (2003) How meta-analysis increases statistical power. Psychol Methods 8:243–253
Cook DJ (1997) Systematic reviews: synthesis of best evidence for clinical decisions. Ann Intern Med 126:376
Dickersin K (1990) The existence of publication bias and risk factors for its occurrence. JAMA 263:1385–1389
Dijkman BG, Abouali JA, Kooistra BW, Conter HJ, Poolman RW, Kulkarni AV, Tornetta P, Bhandari M (2010) Twenty years of meta-analyses in orthopaedic surgery: has quality kept up with quantity? J Bone Joint Surg 92:48–57
Duval S, Tweedie R (2000) Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56:455–463
Egger M, Davey Smith G, Schneider M, Minder C, Mulrow C, Egger M et al (1997) Bias in meta-analysis detected by a simple, graphical test. Br Med J 315:629–634
Farrokhyar F, Karanicolas PJ, Thoma A, Simunovic M, Bhandari M, Devereaux PJ, Anvari M, Adili A, Guyatt G (2010) Randomized controlled trials of surgical interventions. Ann Surg 251(3):409–416
Furukawa TA, Barbui C, Cipriani A, Brambilla P, Watanabe N (2006) Imputing missing standard deviations in meta-analyses can provide accurate results. J Clin Epidemiol 59:7–10
Gerbarg ZB, Horwitz RI (1988) Resolving conflicting clinical trials: Guidelines for meta-analysis. J Clin Epidemiol 41:503–509
Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, Norris S, Falck-Ytter Y, Glasziou P, DeBeer H (2011) GRADE guidelines: 1. Introduction—GRADE evidence profiles and summary of findings tables. J Clin Epidemiol 64:383–394
Guyatt GH, Oxman AD, Kunz R, Vist GE, Falck-Ytter Y, Schünemann HJ (2008) What is “quality of evidence” and why is it important to clinicians? BMJ 336:995–998
Higgins JPT, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327:557–560
Higgins JPT, Thompson SG, Spiegelhalter DJ (2009) A re-evaluation of random-effects meta-analysis. J R Stat Soc Ser A Stat Soc 172:137–159
Hooijmans CR, Rovers MM, de Vries RBM, Leenaars M, Ritskes-Hoitinga M, Langendam MW (2014) SYRCLE’s risk of bias tool for animal studies. BMC Med Res Methodol 14:43
Hozo SP, Djulbegovic B, Hozo I (2005) Estimating the mean and variance from the median, range, and the size of a sample. BMC Med Res Methodol 5:13
Israel H, Richter RR (2011) A guide to understanding meta-analysis. J Orthop Sport Phys Ther 41:496–504
Jones C, Rulon Z, Arthur W, Ottwell R, Checketts J, Detweiler B, Calder M, Adil A, Hartwell M, Wright DN, Vassar M (2021) Evaluation of spin in the abstracts of systematic reviews and meta-analyses related to the treatment of proximal humeral fractures. J Shoulder Elbow Surg 30:2197–2205
Kassirer JP (1992) Clinical trials and meta-analysis. N Engl J Med 327:273–274
Lewis S (2001) Forest plots: trying to see the wood and the trees. BMJ 322:1479–1480
Macleod MR, O’Collins T, Howells DW, Donnan GA (2004) Pooling of animal experimental data reveals influence of study design and publication bias. Stroke 35:1203–1208
Manta A, Opingari E, Saleh AH, Simunovic N, Duong A, Sprague S, Peterson D, Bhandari M (2018) A systematic review of meta-analyses in orthopaedic surgery between 2000 and 2016. Bone Joint J 100:1270–1274
McAuley L, Pham B, Tugwell P, Moher D (2000) Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses? Lancet 356:1228–1231
Olivo SA, Macedo LG, Gadotti IC, Fuentes J, Stanton T, Magee DJ (2008) Scales to assess the quality of randomized controlled trials: a systematic review. Phys Ther 88:156–175
Petrisor B, Bhandari M (2007) The hierarchy of evidence: Levels and grades of recommendation. Indian J Orthop 41:11
Reed DA, Cook DA, Beckman TJ, Levine RB, Kern DE, Wright SM (2007) Association between funding and quality of published medical education research. JAMA 298:1002
Sacks HS, Berrier J, Reitman D, Ancona-Berk VA, Chalmers TC (1987) Meta-analyses of randomized controlled trials. N Engl J Med 316:450–455
Schiavo JH (2019) PROSPERO: an international register of systematic review protocols. Med Ref Serv Q 38:171–180
Slim K, Nini E, Forestier D, Kwiatkowski F, Panis Y, Chipponi J (2003) Methodological index for non-randomized studies (Minors): development and validation of a new instrument. ANZ J Surg 73:712–716
Stern JM, Simes RJ (1997) Publication bias: evidence of delayed publication in a cohort study of clinical research projects. BMJ 315:640–645
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
Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I et al (2019) RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 366:l4898
Thoma A (2005) Challenges in creating a good randomized controlled trial in hand surgery. Clin Plast Surg 32(4):563–573
Thorlund K, Imberger G, Walsh M, Chu R, Gluud C, Wetterslev J, Guyatt G, Devereaux PJ, Thabane L (2011) The number of patients and events required to limit the risk of overestimation of intervention effects in meta-analysis—a simulation study. Biondi–Zoccai G (ed) PLoS One 6:e25491. https://doi.org/10.1371/journal.pone.0025491
Wan X, Wang W, Liu J, Tong T (2014) Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med Res Methodol 14:135
Wetterslev J, Thorlund K, Brok J, Gluud C (2008) Trial sequential analysis may establish when firm evidence is reached in cumulative meta-analysis. J Clin Epidemiol 61:64–75
Wetterslev J, Thorlund K, Brok J, Gluud C (2009) Estimating required information size by quantifying diversity in random-effects model meta-analyses. BMC Med Res Methodol 9:86
Wilke J, Krause F, Niederer D, Engeroff T, Nürnberger F, Vogt L, Banzer W (2015) Appraising the methodological quality of cadaveric studies: validation of the QUACS scale. J Anat Wiley-Blackwell 226:440–446
Wolff RF, Moons KGM, Riley RD, Whiting PF, Westwood M, Collins GS, Reitsma JB, Kleijnen J, Mallett S (2019) PROBAST: a tool to assess the risk of bias and applicability of prediction model studies. Ann Intern Med 170:51–58
Yavchitz A, Ravaud P, Altman DG, Moher D, Hrobjartsson A, Lasserson T, Boutron I (2016) A new classification of spin in systematic reviews and meta-analyses was developed and ranked according to the severity. J Clin Epidemiol 75:56–65
Funding
No funding was received for the implementation of this study.
Author information
Authors and Affiliations
Contributions
All authors contributed substantially to conception and design, or acquisition of data, or analysis and interpretation of data; drafted the article or revised it critically for important intellectual content; provided the final approval of the version to be published; and agreed to act as guarantor of the work (ensuring that questions related to any part of the work are appropriately investigated and resolved).
Corresponding author
Ethics declarations
Ethical approval
This review did not involve primary data collection from patients.
Conflict of interest
The authors declare no conflict of interest with regards to this publication.
Informed consent
None.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Kay, J., Kunze, K.N., Pareek, A. et al. A guide to appropriately planning and conducting meta-analyses—Part 1: indications, assumptions and understanding risk of bias. Knee Surg Sports Traumatol Arthrosc 31, 725–732 (2023). https://doi.org/10.1007/s00167-022-07304-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00167-022-07304-9