Cited by 367Treatment of Major DepressionPsychotherapy Techniques and ApplicationsMental Health Treatment and Access

The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index; none of the 30 sources its claims cite is checked for support yet.

Comparative efficacy and acceptability of antidepressants, psychotherapies, and their combination for acute treatment of children and adolescents with depressive disorder: a systematic review and network meta-analysis

Open access

Abstract

Background Depressive disorders are common in children and adolescents. Antidepressants, psychotherapies, and their combination are often used in routine clinical practice; however, available evidence on the comparative efficacy and safety of these interventions is inconclusive. Therefore, we sought to compare and rank all available treatment interventions for the acute treatment of depressive disorders in children and adolescents.Methods We did a systematic review and network meta-analysis. We searched PubMed, Embase, the Cochrane Central Register of Controlled Trials, Web of Science, PsycINFO, ProQuest, CINAHL, LiLACS, international trial registries, and the websites of regulatory agencies for published and unpublished randomised controlled trials from database inception until Jan 1, 2019. We included placebo-controlled and head-to-head trials of 16 antidepressants, seven psychotherapies, and five combinations of antidepressant and psychotherapy that are used for the acute treatment of children and adolescents (≤18 years old and of both sexes) with depressive disorder diagnosed according to standard operationalised criteria. Trials recruiting participants with treatment-resistant depression, bipolar disorder, psychotic depression, treatment duration of less than 4 weeks, or an overall sample size of fewer than ten patients were excluded. We extracted data following a predefined hierarchy of outcome measures, and assessed risk of bias and certainty of evidence using validated methods. Primary outcomes were efficacy (change in depressive symptoms) and acceptability (treatment discontinuation due to any cause). We estimated summary standardised mean differences (SMDs) or odds ratios (ORs) with credible intervals (CrIs) using network meta-analysis with random effects. This study was registered with PROSPERO, number CRD42015020841.Findings From 20 366 publications, we included 71 trials (9510 participants). Depressive disorders in most studies were moderate to severe. In terms of efficacy, fluoxetine plus cognitive behavioural therapy (CBT) was more effective than CBT alone (-0·78, 95% CrI -1·55 to -0·01) and psychodynamic therapy (-1·14, -2·20 to -0·08), but not more effective than fluoxetine alone (-0·22, -0·86 to 0·42). No pharmacotherapy alone was more effective than psychotherapy alone. Only fluoxetine plus CBT and fluoxetine were significantly more effective than pill placebo or psychological controls (SMDs ranged from -1·73 to -0·51); and only interpersonal therapy was more effective than all psychological controls (-1·37 to -0·66). Nortriptyline (SMDs ranged from 1·04 to 2·22) and waiting list (SMDs ranged from 0·67 to 2·08) were less effective than most active interventions. In terms of acceptability, nefazodone and fluoxetine were associated with fewer dropouts than sertraline, imipramine, and desipramine (ORs ranged from 0·17 to 0·50); imipramine was associated with more dropouts than pill placebo, desvenlafaxine, fluoxetine plus CBT, and vilazodone (2·51 to 5·06). Most of the results were rated as "low" to "very low" in terms of confidence of evidence according to Confidence In Network Meta-Analysis.Interpretation Despite the scarcity of high-quality evidence, fluoxetine (alone or in combination with CBT) seems to be the best choice for the acute treatment of moderate-to-severe depressive disorder in children and adolescents. However, the effects of these interventions might vary between individuals, so patients, carers, and clinicians should carefully balance the risk-benefit profile of efficacy, acceptability, and suicide risk of all active interventions in young patients with depression on a case-by-case basis.Funding National Key Research and Development Program of China.

Overview

Integrity signals

Registry

Crossref · 10.1016/s2215-0366(20)30137-1

Cites

49 of 49 references verified0 citation errors · 0 not checkable

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Claims the paper makes

33 Own result · 28 Own method · 24 Not checked yet · 5 Own interpretation · 3 No basis given

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  • Probably not a substantial claim. 31
  • It may state two separate claims as one. 31
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  • The paper relies on this without support.

    The existing evidence does not clearly establish that psychotherapy is more effective and safer than antidepressants for child and adolescent depressive disorder.

    “However, the evidence base has not been well established that psychotherapy is more effective and safer than antidepressants in the treatment of child and adolescent depressive disorder, and whether the combination of antidepressants and psychotherapies is more beneficial than antidepressants alone remains unknown.”
  • The paper relies on this without support.

    The network meta-analysis satisfies the transitivity assumption, meaning the included comparisons are sufficiently similar in effect modifiers.

    “To assess transitivity, we compared the distribution of clinical and methodological variables (eg, age, sex, depressive severity at baseline, and treatment duration) that could act as effect modifiers across treatment com parisons.14”
  • The authors state this as an assumption.

    A single common heterogeneity variance applies to all comparisons in the network.

    “A common estimate for the heterogeneity variance was assumed for all comparisons in the entire network, and we assessed the presence of statistical heterogeneity using the magnitude of the heterogeneity variance parameter (τ²) and total I² statistic.”
  • The authors state this as an assumption.

    Uninformative prior distributions for treatment effects are appropriate for the network meta-analysis models.

    “We fitted all models of network metaanalysis with uninformative previous distributions for the treatment effects.”
  • The authors state this as an assumption.

    The network meta-analysis transitivity assumption holds across the various control conditions.

    “the assumption of transitivity over various control conditions was under stated.”
    “in order to support transitivity assumption in the network”
  • The paper relies on this without support.

    The data from included trials other than Restoring Study 329 are accurate.

    “we could not assure the accuracy of the data in the other included trials.”
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Metadata

Authors
Zhou, X., Teng, T., Zhang, Y., Del Giovane, C., Furukawa, T. A., Weisz, J. R., Li, X., Cuijpers, P., Coghill, D., Xiang, Y., Hetrick, S. E., Leucht, S., Qin, M., Barth, J., Ravindran, A. V., Yang, L., Curry, J., Fan, L., Silva, S. G., Cipriani, A., & Xie, P.
Affiliations
  • The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
  • Second Affiliated Hospital of Chongqing Medical University (CN)
  • Kyoto University (JP)
  • Harvard University (US)
  • Amsterdam Public Health (NL)
  • The University of Melbourne (AU)
  • University of Auckland (NZ)
  • Technical University of Munich (DE)
  • University of Zurich (CH)
  • Centre for Addiction and Mental Health (CA)
  • Duke University (US)
  • Oxford Health NHS Foundation Trust (GB)
Corresponding author
Xie, Peng
Venue
The Lancet Psychiatry
Publisher
Elsevier BV
Published
2020-07
Volume
7
Issue
7
Pages
581-601
ISSN
2215-0366 (ISSN-L)
OpenAlex
W2959400609
Cited by
367
References
49
Citations by year
2026: 62 · 2025: 66 · 2024: 60 · 2023: 65 · 2022: 61 · 2021: 43 · 2020: 9
FWCI
5.86
Type
journal article
Language
en
Open access
Locations
  • The Lancet Psychiatry (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Discovery Research Portal (University of Dundee) (publishedVersion, other-oa)
  • VU Research Portal (publishedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by)
  • Bern Open Repository and Information System (University of Bern) (submittedVersion)
  • IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by)
  • mediaTUM (Technical University of Munich) (submittedVersion)
  • ResearchSpace (University of Auckland) (submittedVersion, cc-by-nc-nd)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich)
Funders
  • NIHR Oxford Biomedical Research Centre (BRC-1215-20005)
  • NIHR Clinical Research Network Thames Valley and South Midlands
  • College of Agricultural and Life Sciences
  • Janssen Canada
  • Royal Society
  • Angelini Pharma
  • Faculty of Medical and Health Sciences, University of Auckland
  • Fondazione Cariplo
  • National Institute for Health Research (RP-2017-08-ST2-006)
  • National Natural Science Foundation of China (81701342, 81873800)
  • National Basic Research Program of China (2017YFA0505700)
Topics
  • Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
  • Social Sciences › Psychology › Clinical Psychology › Psychotherapy Techniques and Applications
  • Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
Keywords
antidepressants, psychotherapy, childhood depression, adolescent depression, depressive disorders, fluoxetine, cognitive behavioral therapy, psychodynamic psychotherapy, combination therapy, antidepressant efficacy, treatment acceptability, treatment discontinuation, placebo response, comparative treatment effectiveness, network meta-analysis ranking, treatment-resistant depression, bipolar disorder, psychotic depression, children and adolescents
MeSH terms
Adolescent, Antidepressive Agents, Child, Depressive Disorder, Humans, Psychotherapy, Randomized Controlled Trials as Topic, Evidence-Based Medicine

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