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GetReal in network meta-analysis: a review of the methodology
Open accessAbstract
Pairwise meta‐analysis is an established statistical tool for synthesizing evidence from multiple trials, but it is informative only about the relative efficacy of two specific interventions. The usefulness of pairwise meta‐analysis is thus limited in real‐life medical practice, where many competing interventions may be available for a certain condition and studies informing some of the pairwise comparisons may be lacking. This commonly encountered scenario has led to the development of network meta‐analysis (NMA). In the last decade, several applications, methodological developments, and empirical studies in NMA have been published, and the area is thriving as its relevance to public health is increasingly recognized. This article presents a review of the relevant literature on NMA methodology aiming to pinpoint the developments that have appeared in the field. Copyright © 2016 John Wiley & Sons, Ltd.
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“This approach follows the hierarchical Bayesian framework for network meta-analysis described by Lu and Ades (2004) and Dias et al. (2013), which allows continuous outcomes, including standardized mean differences, to be modeled at the arm level using a normal likelihood [37, 38].”
From The Effect of Different Psychological Interventions on Athletes' Competitive Anxiety: A Systematic Review and Bayesian Network Meta-Analysis. (2026) · cites this paper as [37]
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
Lunn, D. J., Thomas, A., Best, N., & Spiegelhalter, D. J. (2000) · Statistics and Computing · doi:10.1023/a:1008929526011 · Cited by 5,397
JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling
Plummer, M. (2003) · Cited by 4,720
The Handbook of Research Synthesis and Meta-Analysis
(2019) · doi:10.7758/9781610448864 · Cited by 4,553
Salanti, G., Ades, A. E., & Ioannidis, J. P. A. (2011) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2010.03.016 · Cited by 3,766
Self-citationChecking consistency in mixed treatment comparison meta-analysis
Dias, S., Welton, N. J., Caldwell, D. M., & Ades, A. E. (2010) · Statistics in Medicine · doi:10.1002/sim.3767 · Cited by 2,521 · cited 8×
“Dias et al. (2010b) also proposed two additional methods for locally checking inconsistency.”
BackgroundMethodInfluentialGraphical tools for network meta-analysis in STATA
Chaimani, A., Higgins, J. P. T., Mavridis, D., Spyridonos, P., & Salanti, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076654 · Cited by 2,473
Self-citationMeta-analysis: Principles and procedures
Egger, M., Smith, G. D., & Phillips, A. N. (1997) · BMJ · doi:10.1136/bmj.315.7121.1533 · Cited by 2,415
Combination of direct and indirect evidence in mixed treatment comparisons
Lu, G., & Ades, A. E. (2004) · Statistics in Medicine · doi:10.1002/sim.1875 · Cited by 2,172
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Research works printed but not linked: 9
- Carlin BP, 2013, Case Study Comparing Bayesian and Frequentist Approaches for Multiple Treatment Comparisons. (Prepared by the Minnesota Evidence‐Based Practice Center under Contract No. 290‐2007‐10064‐I2). AHRQ Publication No. 12(13)‐EHC103‐EF
- Coleman CI, 2012, Use of Mixed Treatment Comparison in Systematic Reviews. (Prepared by the university of Connecticut/Harford Hospital Evidence‐Based Practice Center under Contract No. 290‐2007‐10067‐I). AHRQ Publication No. 12‐EHC119‐EF
- Hong H, 2013, AHRQ Methods for Effective Health Care
- 10.1016/j.jval.2011.04.002 · DOI
- Jonas DE, 2013, Findings of Bayesian Mixed Treatment Comparison Meta‐Analysis: Comparison and Exploration Using Real‐word Trial Data and Simulation. (Prepared by RTI‐UNC Evidence‐Based Practice Center under Contract No. 290‐2007‐10056‐I). AHRQ Publication No. 13‐EHC039‐EF
- Panayidou K, 2015, Get Real in mathematical modelling: A review of methods predicting drug effectiveness from randomized trial data, Research Synthesis Methods
- SAS Institute, 2011, The SAS System for Windows. Release 9.2
- StataCorp, 2013, Stata Statistical Software: Release 13
- Wells GA, 2009, Indirect evidence: Indirect treatment comparisons in meta‐analysis, Ottawa Canadian Agency for Drugs and Technologies in Health
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Pillinger, T., McCutcheon, R. A., Vano, L., Mizuno, Y., Arumuham, A., Hindley, G., Beck, K., Natesan, S., Efthimiou, O., Cipriani, A., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(19)30416-x · Cited by 1,090
Self-citationKaryotaki, E., Efthimiou, O., Miguel, C., Maas genannt Bermpohl, F., Furukawa, T. A., Cuijpers, P., Individual Patient Data Meta-Analyses for Depression (IPDMA-DE) Collaboration, Riper, H., Patel, V., Mira, A., et al. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.4364 · Cited by 866
Self-citationAdvances in the GRADE approach to rate the certainty in estimates from a network meta-analysis
Brignardello-Petersen, R., Bonner, A., Alexander, P. E., Siemieniuk, R. A., Furukawa, T. A., Rochwerg, B., Hazlewood, G. S., Alhazzani, W., Mustafa, R. A., Murad, M. H., et al. (2018) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2017.10.005 · Cited by 753
A meta-analysis of procedures to change implicit measures
Forscher, P. S., Lai, C. K., Axt, J. R., Ebersole, C. R., Herman, M., Devine, P. G., & Nosek, B. A. (2019) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000160 · Cited by 700
netmeta : An R Package for Network Meta-Analysis Using Frequentist Methods
Balduzzi, S., Rücker, G., Nikolakopoulou, A., Papakonstantinou, T., Salanti, G., Efthimiou, O., & Schwarzer, G. (2023) · Journal of Statistical Software · doi:10.18637/jss.v106.i02 · Cited by 532
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Metadata
- Authors
- Efthimiou, O., Debray, T. P. A., van Valkenhoef, G., Trelle, S., Panayidou, K., Moons, K. G. M., Reitsma, J. B., Shang, A., Salanti, G., & on behalf of GetReal Methods Review Group
- Affiliations
- University of Ioannina (GR)
- University Medical Center Utrecht (NL)
- Department of Epidemiology University of Groningen, University Medical Center Groningen Groningen The Netherlands
- University of Bern (CH)
- F. Hoffmann-La Roche AG (CH)
- Corresponding author
- Efthimiou, Orestis
- ORCID
- Venue
- Research Synthesis Methods
- Publisher
- Wiley
- Published
- 2016-01-11
- Volume
- 7
- Issue
- 3
- Pages
- 236-263
- ISSN
- 1759-2879 (ISSN-L)
- 1759-2887
- OpenAlex
- W2237437504
- Semantic Scholar
- 5a3c19f9f2a50dce244ece8903463aa0b3cd9464
- Cited by
- 401
- References
- 187
- Citations by year
- 2026: 30 · 2025: 55 · 2024: 57 · 2023: 56 · 2022: 47 · 2021: 37 · 2020: 35 · 2019: 26 · 2018: 28 · 2017: 17 · 2016: 10
- FWCI
- 9.22
- Type
- journal article
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
- Licence
- Locations
- Research Synthesis Methods (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- BORIS (University Library Bern) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Open Access CRIS of the University of Bern
- Funders
- Innovative Medicines Initiative Joint Undertaking (115546)
- European Union's Seventh Framework Programme (FP7/2007-2013)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Keywords
- network meta-analysis, comparative effectiveness, evidence synthesis, method development
- MeSH terms
- Network Meta-Analysis as Topic, Clinical Trials as Topic, Computer Simulation, Humans, Placebos, Regression Analysis, Research Design, Software, Statistics as Topic, Models, Statistical, Databases, Bibliographic
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