The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples
Open accessAbstract
Organisations such as the National Institute for Health and Care Excellence require the synthesis of evidence from existing studies to inform their decisions—for example, about the best available treatments with respect to multiple efficacy and safety outcomes. However, relevant studies may not provide direct evidence about all the treatments or outcomes of interest. Multivariate and network meta-analysis methods provide a framework to address this, using correlated or indirect evidence from such studies alongside any direct evidence. In this article, the authors describe the key concepts and assumptions of these methods, outline how correlated and indirect evidence arises, and illustrate the contribution of such evidence in real clinical examples involving multiple outcomes and multiple treatments
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Self-citationInterpretation of random effects meta-analyses
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Self-citationChecking consistency in mixed treatment comparison meta-analysis
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Graphical 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-citationConsistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies
Higgins, J. P. T., Jackson, D., Barrett, J. K., Lu, G., Ades, A. E., & White, I. R. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1044 · Cited by 2,098
Self-citationRanking treatments in frequentist network meta-analysis works without resampling methods
Rücker, G., & Schwarzer, G. (2015) · BMC Medical Research Methodology · doi:10.1186/s12874-015-0060-8 · Cited by 1,732
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Self-citationMeta-analysis of individual participant data: rationale, conduct, and reporting
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Self-citationSimultaneous comparison of multiple treatments: Combining direct and indirect evidence.
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“A version of this dataset containing seven treatments was previously published in The BMJ by Caldwell et al, 13 and our investigations extend this work.”
Cited by
Shi, L., & Lin, L. (2019) · Medicine · doi:10.1097/md.0000000000015987 · Cited by 818
An extended mixed‐effects framework for meta‐analysis
Sera, F., Armstrong, B., Blangiardo, M., & Gasparrini, A. (2019) · Statistics in Medicine · doi:10.1002/sim.8362 · Cited by 323
Wu, P.-Y., Huang, K.-S., Chen, K.-M., Chou, C.-P., & Tu, Y.-K. (2021) · Maturitas · doi:10.1016/j.maturitas.2020.12.009 · Cited by 168
Bahji, A., Pierce, M., Wong, J., Roberge, J. N., Ortega, I., & Patten, S. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.6614 · Cited by 60
Schmaußer, M., Hoffmann, S., Raab, M., & Laborde, S. (2022) · Journal of Neuroscience Research · doi:10.1002/jnr.25062 · Cited by 59
Metadata
- Authors
- Riley, R. D., Jackson, D., Salanti, G., Burke, D. L., Price, M., Kirkham, J., & White, I. R.
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2017-09-13
- Volume
- 358
- Pages
- j3932
- ISSN
- 1756-1833 (ISSN-L)
- 0959-8138
- OpenAlex
- W2755833300
- Cited by
- 247
- References
- 25
- FWCI
- 5.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Riley, R. D., Jackson, D., Salanti, G., Burke, D. L., Price, M., Kirkham, J., & White, I. R. (2017). Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples. BMJ. https://doi.org/10.1136/bmj.j3932
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
