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The wh-questions of network meta-analyses

  • Riccardo De Giorgi (a1)

Summary

Currently, network meta-analyses (NMAs) are the only technique that allow us to compare and rank numerous treatments across trials. Evidence produced by NMAs relies on pooled data from both direct and indirect comparisons within studies. Consequently, NMAs are invaluable tools for informing clinical guidelines.

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Corresponding author

Correspondence Riccardo De Giorgi, Wellcome Trust Doctoral Training Fellow, University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford OX3 7JX, UK. Email: riccardo.degiorgi@bnc.ox.ac.uk

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DECLARATION OF INTEREST: None.

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References

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Cipriani, A, Higgins, JP, Geddes, JR, et al. (2013) Conceptual and technical challenges in network meta-analysis. Annals of Internal Medicine, 159: 130–7.
Cipriani, A, Furukawa, TA, Salanti, G, et al. (2018) Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet, 391: 1357–66.
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Leucht, S, Chaimani, A, Cipriani, AS, et al. (2016) Network meta-analyses should be the highest level of evidence in treatment guidelines. European Archives of Psychiatry and Clinical Neuroscience, 266: 477–80.
Mavridis, D, Giannatsi, M, Cipriani, A, et al. (2015) A primer on network meta-analysis with emphasis on mental health. Evidence Based Mental Health, 18: 40–6.

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The wh-questions of network meta-analyses

  • Riccardo De Giorgi (a1)

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The wh-questions of network meta-analyses

  • Riccardo De Giorgi (a1)
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