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Antidepressants in paediatric depression: do not look back in anger but around in awareness

Published online by Cambridge University Press:  30 January 2018

David A. Brent*
Affiliation:
Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center University of Pittsburgh School of Medicine
Robert D. Gibbons
Affiliation:
The University of Chicago Biological Sciences
Paul Wilkinson
Affiliation:
University of Cambridge Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge
Bernadka Dubicka
Affiliation:
Institute of Brain, Behaviour and Mental Health, University of Manchester Lancashire Care Foundation Trust, Preston
*
Correspondence to David A. Brent (brentda@upmc.edu)
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Abstract

Summary

In this paper, we summarise and critique a network meta-analysis (NMA) of antidepressant efficacy and tolerability for paediatric depression and an accompanying editorial. Although we agree that many of the extant studies are flawed, this meta-analysis showed clear efficacy of fluoxetine in the NMA, and for sertraline and escitalopram in pairwise analyses. Consequently, these papers underestimate the benefits of antidepressants for paediatric depression, and provide support for current practice guideline, which recommends the use of an antidepressant if the patient does not respond to psychotherapy. In these circumstances, fluoxetine should be the first choice, with escitalopram and sertraline as alternatives.

Declaration of interest

D.A.B. receives royalties from Guilford Press, has or will receive royalties from the electronic self-rated version of the C-SSRS from eResearch Technology, Inc., is on the editorial board of UpToDate, and is a reviewer for Healthwise. R.D.G. serves as an expert witness for the US Department of Justice, Pfizer, Wyeth and GSK; and is the founder of Adaptive Testing Technologies. P.W. receives personal fees from Lundbeck and Takeda. B.D. reports a licensing agreement with Lundbeck for a psychosocial treatment manual for depression. No other disclosures were reported.

Information

Type
Editorial
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Authors 2018
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