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Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis

Overview of attention for article published in The Lancet, June 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
138 news outlets
blogs
17 blogs
policy
1 policy source
twitter
448 X users
facebook
61 Facebook pages
wikipedia
13 Wikipedia pages
googleplus
7 Google+ users
reddit
2 Redditors

Citations

dimensions_citation
530 Dimensions

Readers on

mendeley
826 Mendeley
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Title
Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis
Published in
The Lancet, June 2016
DOI 10.1016/s0140-6736(16)30385-3
Pubmed ID
Authors

Andrea Cipriani, Xinyu Zhou, Cinzia Del Giovane, Sarah E Hetrick, Bin Qin, Craig Whittington, David Coghill, Yuqing Zhang, Philip Hazell, Stefan Leucht, Pim Cuijpers, Juncai Pu, David Cohen, Arun V Ravindran, Yiyun Liu, Kurt D Michael, Lining Yang, Lanxiang Liu, Peng Xie

Abstract

Major depressive disorder is one of the most common mental disorders in children and adolescents. However, whether to use pharmacological interventions in this population and which drug should be preferred are still matters of controversy. Consequently, we aimed to compare and rank antidepressants and placebo for major depressive disorder in young people. We did a network meta-analysis to identify both direct and indirect evidence from relevant trials. We searched PubMed, the Cochrane Library, Web of Science, Embase, CINAHL, PsycINFO, LiLACS, regulatory agencies' websites, and international registers for published and unpublished, double-blind randomised controlled trials up to May 31, 2015, for the acute treatment of major depressive disorder in children and adolescents. We included trials of amitriptyline, citalopram, clomipramine, desipramine, duloxetine, escitalopram, fluoxetine, imipramine, mirtazapine, nefazodone, nortriptyline, paroxetine, sertraline, and venlafaxine. Trials recruiting participants with treatment-resistant depression, treatment duration of less than 4 weeks, or an overall sample size of less than ten patients were excluded. We extracted the relevant information from the published reports with a predefined data extraction sheet, and assessed the risk of bias with the Cochrane risk of bias tool. The primary outcomes were efficacy (change in depressive symptoms) and tolerability (discontinuations due to adverse events). We did pair-wise meta-analyses using the random-effects model and then did a random-effects network meta-analysis within a Bayesian framework. We assessed the quality of evidence contributing to each network estimate using the GRADE framework. This study is registered with PROSPERO, number CRD42015016023. We deemed 34 trials eligible, including 5260 participants and 14 antidepressant treatments. The quality of evidence was rated as very low in most comparisons. For efficacy, only fluoxetine was statistically significantly more effective than placebo (standardised mean difference -0·51, 95% credible interval [CrI] -0·99 to -0·03). In terms of tolerability, fluoxetine was also better than duloxetine (odds ratio [OR] 0·31, 95% CrI 0·13 to 0·95) and imipramine (0·23, 0·04 to 0·78). Patients given imipramine, venlafaxine, and duloxetine had more discontinuations due to adverse events than did those given placebo (5·49, 1·96 to 20·86; 3·19, 1·01 to 18·70; and 2·80, 1·20 to 9·42, respectively). In terms of heterogeneity, the global I(2) values were 33·21% for efficacy and 0% for tolerability. When considering the risk-benefit profile of antidepressants in the acute treatment of major depressive disorder, these drugs do not seem to offer a clear advantage for children and adolescents. Fluoxetine is probably the best option to consider when a pharmacological treatment is indicated. National Basic Research Program of China (973 Program).

X Demographics

X Demographics

The data shown below were collected from the profiles of 448 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 826 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
United Kingdom 2 <1%
Brazil 1 <1%
Sweden 1 <1%
Australia 1 <1%
Argentina 1 <1%
Germany 1 <1%
Japan 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 813 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 123 15%
Student > Master 107 13%
Student > Bachelor 102 12%
Student > Ph. D. Student 73 9%
Student > Postgraduate 57 7%
Other 177 21%
Unknown 187 23%
Readers by discipline Count As %
Medicine and Dentistry 208 25%
Psychology 142 17%
Neuroscience 51 6%
Pharmacology, Toxicology and Pharmaceutical Science 32 4%
Agricultural and Biological Sciences 28 3%
Other 121 15%
Unknown 244 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1533. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 April 2024.
All research outputs
#7,675
of 25,753,031 outputs
Outputs from The Lancet
#275
of 42,985 outputs
Outputs of similar age
#82
of 355,851 outputs
Outputs of similar age from The Lancet
#3
of 451 outputs
Altmetric has tracked 25,753,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 42,985 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 67.7. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,851 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 451 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.