Abstract
Background
Adolescent-specific evidence on antidepressants is sparse and difficult to interpret because outcome data structures are heterogeneous, safety reporting is incomplete, and post-publication reanalyses have identified major reporting-integrity problems in influential trials. We aimed to estimate the comparative acute efficacy of antidepressants using source-verifiable, adolescent-specific arm-level endpoint data and to examine how historical trials with important data-quality limitations influenced the estimates.
Methods
We searched PubMed/MEDLINE, Cochrane CENTRAL, Web of Science, and ClinicalTrials.gov from inception to April 2026 for randomized controlled trials of antidepressants for acute treatment of adolescents aged 12–18 years, or trial-defined samples aged 12–17 or 13–18 years, with a primary DSM/ICD diagnosis of MDD. Eligibility for the primary efficacy analysis required source-verifiable, adolescent-specific arm-level endpoint means, standard deviations, and sample sizes at 12 weeks or earlier; pill placebo served as the network reference. Continuous depression outcomes were expressed as Hedges’ g standardized mean differences (SMDs), placing eligible validated scales on a common metric. Risk of bias was assessed with RoB 2, and influence analyses examined robustness to the exclusion of historical trials with major data-quality limitations.
Results
The antidepressant-only primary SMD network contained 4 parent trials and 11 randomized arms, including desipramine, amitriptyline, fluoxetine, levomilnacipran 40 mg, levomilnacipran 80 mg, vilazodone 15 mg, vilazodone 30 mg, and pill placebo. Desipramine showed a large effect versus pill placebo (SMD -1.80, 95% CI -2.57 to -1.03), but this estimate came from a small historical trial using completer endpoint data and a reported pooled/common SD. Amitriptyline (-0.17, -0.88 to 0.55), fluoxetine (-0.15, -0.39 to 0.08), levomilnacipran 80 mg (-0.15, -0.38 to 0.09), vilazodone 30 mg (-0.12, -0.33 to 0.09), levomilnacipran 40 mg (-0.11, -0.35 to 0.13), and vilazodone 15 mg (-0.02, -0.23 to 0.19) did not differ significantly from pill placebo. After excluding Klein 1998, and again after excluding both Klein 1998 and Kye 1996, no remaining antidepressant showed a statistically significant advantage over pill placebo.
Conclusions
Contemporary antidepressants in the primary network (the selective serotonin reuptake inhibitor [SSRI] fluoxetine, the serotonin-norepinephrine reuptake inhibitor [SNRI] levomilnacipran, and vilazodone, an SSRI and 5-HT1A receptor partial agonist) did not show statistically significant superiority over pill placebo, although the confidence intervals remained compatible with small benefit as well as no effect. The only statistically significant estimate was derived from a small historical desipramine trial with important data-quality limitations. Adolescent-specific arm-level evidence was too sparse and methodologically limited to support a stable comparative efficacy hierarchy among antidepressants.
Keywords: adolescent major depressive disorder, antidepressants, evidence robustness, network meta-analysis, reporting integrity, source verification
Introduction
Major depressive disorder (MDD) in adolescence is associated with psychosocial impairment, educational disruption, recurrence, and elevated suicide risk (1). Recent global evidence indicates a high burden of adolescent depression and depressive symptoms, reinforcing the need for treatment decisions that are both evidence-based and appropriately cautious (2, 3).
Guidelines generally recommend evidence-based psychological interventions for mild to moderate depression and careful consideration of pharmacotherapy, particularly fluoxetine, for moderate to severe depression or when psychological treatment is insufficient (4, 5). However, the comparative evidence for adolescent MDD remains difficult to interpret because trials vary in diagnostic strictness, age range, outcome scales, treatment duration, reporting completeness, and adverse-event ascertainment.
Earlier NMAs provided important benchmarks. Cipriani et al. evaluated antidepressants in children and adolescents with MDD (6), and Zhou et al. integrated antidepressants, psychotherapies, and combined treatments across children and adolescents with depressive disorders (7). Their broader age ranges, mixed intervention classes, and heterogeneous outcome structures leave uncertainty about the comparative acute efficacy of antidepressants when evidence is limited to adolescent-specific, source-verifiable arm-level endpoints.
We aimed to estimate the comparative acute efficacy of antidepressants for adolescent MDD using source-verifiable, adolescent-specific arm-level endpoint data. We also examined the robustness of the estimates to the exclusion of historical trials with major data-quality limitations.
Methods
This systematic review and NMA was reported in accordance with the PRISMA 2020 statement and the PRISMA extension for NMA (8, 9). Study eligibility, data extraction, and synthesis were defined according to population, antidepressant intervention, comparator, acute endpoint timing, outcome data structure, source verifiability, and network connectivity. Risk of bias was assessed using the revised Cochrane risk-of-bias tool for randomized trials (RoB 2) (10).
Protocol and registration
The review was not prospectively registered in PROSPERO. Eligibility criteria and study-classification workbook, source-verification records, RoB 2 assessments, source-verified study-characteristics table, analysis datasets, and analysis R scripts are provided in the Supplementary Material.
Search strategy and study selection
Electronic searches were conducted in PubMed/MEDLINE, Cochrane CENTRAL, Web of Science, and ClinicalTrials.gov from database inception to April 2026. The strategy combined terms for adolescents or youth, major depressive disorder or depression, randomized or controlled trials, and pharmacological or psychological interventions.
Records retrieved from electronic sources were de-duplicated before two-stage screening. Titles and abstracts were screened first, and potentially eligible reports were assessed in full text against the eligibility criteria. Multiple reports from the same parent trial were collated. For potentially eligible antidepressant trials, source availability, population and diagnostic eligibility, endpoint timing, outcome-data structure, and network connectivity were verified before quantitative synthesis.
Eligibility criteria
Eligible studies were randomized controlled trials evaluating an antidepressant during acute treatment of adolescent MDD, with an endpoint at 12 weeks or earlier. Eligibility criteria were defined according to the PICOS framework. The population comprised adolescents aged 12–18 years, or trial-defined adolescent samples aged 12–17 or 13–18 years, with a primary DSM or ICD diagnosis of MDD. Comparators were pill placebo or another antidepressant. Eligible outcomes included acute-phase depressive-symptom severity, response or remission, acceptability, and safety.
For quantitative synthesis of the primary continuous outcome, comparisons were eligible when adolescent-specific arm-level endpoint means, standard deviations, and sample sizes could be verified from source reports. When multiple eligible time points were available, we preferentially extracted the prespecified primary acute endpoint or the time point closest to 8–12 weeks. Mixed child-adolescent or adolescent-adult trials were eligible only when adolescent-specific arm-level data could be extracted without disrupting the randomized comparison.
We excluded non-randomized studies, observational studies, single-arm studies, protocols, reviews, maintenance or relapse-prevention trials, open-label extension phases without eligible acute randomized data, and studies without extractable data. Studies were also excluded from the primary analysis when MDD could not be separated from dysthymia, depressive disorder not otherwise specified, non-clinical depressive symptoms, bipolar depression, psychotic depression, or treatment-resistant depression-focused samples.
Data extraction
One investigator performed the initial data extraction, and a second investigator checked all primary-analysis arm-level data against source pages. Multiple reports from the same parent trial were collated. Secondary publications, trial registries, company reports, regulatory documents, and post-publication reanalyzes were used to verify trial identity, supplement outcome information, and assess reporting integrity.
Extracted continuous-outcome data included treatment arm, sample size, depression scale, endpoint timing, endpoint mean, standard deviation, analysis population, and source location. Adjusted least-squares means, standard errors, model-based contrasts, and binary response or remission data were recorded separately and were not combined with source-verified arm-level endpoint mean/SD data. Effect measures and synthesis methods were matched to the outcome data structure in accordance with Cochrane guidance (11).
Outcomes
The primary efficacy outcome was depressive symptom severity at the acute endpoint. The primary effect measure was Hedges’ g standardized mean difference (SMD), which expresses eligible continuous depression outcomes on a common standardized metric (11). Negative values indicate lower endpoint depressive-symptom scores and therefore favor active treatment. A CDRS-R-only MD analysis was performed as a clinical-unit sensitivity analysis.
Binary response or remission outcomes were summarized as direct evidence and were not combined with the continuous-outcome network. Safety outcomes and post-publication concerns about selective reporting were summarized narratively (12–18).
Statistical analysis
Analyses were conducted in R version 4.5.3 using the netmeta package (19). Treatment effects were summarized as Hedges’ g standardized mean differences (SMDs) with 95% confidence intervals (CIs), placing eligible validated depression scales on a common metric. Pill placebo was specified as the reference treatment, and random-effects network estimates were calculated for eligible antidepressant comparisons in the connected component containing that reference. A CDRS-R-only mean-difference sensitivity analysis and influence analyses excluding Klein 1998 and Kye 1996 were conducted. Reported or model-derived least-squares mean differences, adjusted estimates, and binary outcomes were summarized separately.
Source verification, risk-of-bias, and data-structure assessment
Each arm-level value used in the SMD network was traced to a source page and table or results paragraph. Data-quality indicators were recorded for completer endpoints, reported pooled/common SDs, model-derived estimates, and ITT-versus-completer distinctions. Risk of bias was assessed using RoB 2 across five domains: the randomization process, deviations from intended interventions, missing outcome data, outcome measurement, and selection of the reported result (10). Source availability, endpoint scale and timing, analysis population, missing-data handling, estimate type, arm-level data availability, post-publication reporting concerns, and denominator definitions were recorded alongside the RoB 2 judgments. RIAT reanalyses informed the selection-of-the-reported-result judgments and the assessment of reporting integrity.
Results
Study selection and network characteristics
The search identified 4,351 records. After duplicate removal, 4,249 records were screened by title and abstract, and 321 full-text articles were assessed. Four parent trials comprising 11 randomized arms met the criteria for the primary NMA. The study-selection process is shown in Supplementary Figure 1, and trial classifications are summarized in Supplementary Table 1.
The source-verified primary antidepressant endpoint mean/SD SMD network comprised 4 parent trials and 11 randomized arms. Depressive symptom outcomes in this network were measured using either the Children’s Depression Rating Scale-Revised (CDRS-R) or the Hamilton Depression Rating Scale (HAM-D). The four parent trials were Klein 1998, Kye 1996, Durgam 2018, and Radecki 2024 LVM-MD-11 (20–23). The included treatment nodes were desipramine, amitriptyline, fluoxetine, levomilnacipran 40 mg, levomilnacipran 80 mg, vilazodone 15 mg, vilazodone 30 mg, and pill placebo. The network therefore included two tricyclic antidepressants (TCAs; desipramine and amitriptyline) and three types of contemporary antidepressant: an SSRI (fluoxetine), an SNRI (levomilnacipran), and an SSRI with 5-HT1A receptor partial agonist activity (vilazodone). The primary antidepressant network is shown in Supplementary Figure 2, and arm-level source verification for that network is provided in Supplementary Table 2.
Primary SMD NMA
In the primary SMD NMA, desipramine showed a statistically significant advantage over pill placebo (SMD -1.80, 95% CI -2.57 to -1.03). The contributing trial used completer endpoint data and a reported pooled/common SD. Confidence intervals crossed the null for amitriptyline (SMD -0.17, 95% CI -0.88 to 0.55), fluoxetine (-0.15, -0.39 to 0.08), levomilnacipran 80 mg (-0.15, -0.38 to 0.09), vilazodone 30 mg (-0.12, -0.33 to 0.09), levomilnacipran 40 mg (-0.11, -0.35 to 0.13), and vilazodone 15 mg (-0.02, -0.23 to 0.19) (Figure 1; Table 1).
Figure 1.

Random-effects estimates from the antidepressant endpoint mean/SD SMD network versus pill placebo. Negative Hedges’ g values favor active treatment. Desipramine was informed by a small historical trial using completer endpoint data and a reported pooled/common SD.
Table 1.
Primary source-verified antidepressant SMD NMA estimates versus pill placebo.
| Treatment | Hedges’ g SMD | 95% CI | p value | Interpretation note |
|---|---|---|---|---|
| Desipramine | -1.80 | -2.57 to -1.03 | <0.001 | TCA; small historical trial; completer endpoint; reported pooled/common SD |
| Amitriptyline | -0.17 | -0.88 to 0.55 | 0.643 | TCA; historical trial; ITT/protocol-end endpoint flag |
| Fluoxetine | -0.15 | -0.39 to 0.08 | 0.207 | Contemporary SSRI; placebo-connected trial |
| Levomilnacipran 80 mg | -0.15 | -0.38 to 0.09 | 0.226 | Contemporary SNRI; placebo-connected trial |
| Vilazodone 30 mg | -0.12 | -0.33 to 0.09 | 0.248 | Contemporary SSRI and 5-HT1A receptor partial agonist; placebo-connected trial |
| Levomilnacipran 40 mg | -0.11 | -0.35 to 0.13 | 0.367 | Contemporary SNRI; placebo-connected trial |
| Vilazodone 15 mg | -0.02 | -0.23 to 0.19 | 0.879 | Contemporary SSRI and 5-HT1A receptor partial agonist; placebo-connected trial |
Negative SMD values favor active treatment. SSRI, selective serotonin reuptake inhibitor; SNRI, serotonin-norepinephrine reuptake inhibitor; TCA, tricyclic antidepressant.
Robustness to historical trials evaluating TCAs
After excluding Klein 1998, desipramine was absent from the network and no remaining treatment differed significantly from pill placebo. After excluding both Klein 1998 and Kye 1996, the network contained Durgam 2018 and Radecki 2024 LVM-MD-11 only; fluoxetine, levomilnacipran 40 mg, levomilnacipran 80 mg, vilazodone 15 mg, and vilazodone 30 mg remained statistically non-significant versus pill placebo (Figure 2; Supplementary Table 3).
Figure 2.

Influence of historical trials evaluating TCAs on antidepressant estimates. Excluding Klein 1998 removed desipramine from the network; excluding both Klein 1998 and Kye 1996 left only contemporary placebo-connected antidepressant trials, with no statistically significant estimate versus pill placebo.
Sensitivity analyses
In the CDRS-R-only connected MD sensitivity analysis, estimates were numerically favorable but not statistically significant for fluoxetine (MD -2.10, 95% CI -5.59 to 1.39), levomilnacipran 80 mg (-2.00, -5.30 to 1.30), levomilnacipran 40 mg (-1.50, -4.81 to 1.81), vilazodone 30 mg (-1.50, -4.07 to 1.07), and vilazodone 15 mg (-0.20, -2.83 to 2.43). The connected and disconnected CDRS-R-only MD results are shown in Supplementary Figures 3 and 4.
Model-based active-versus-placebo contrasts were available for fluoxetine, escitalopram, paroxetine, imipramine, levomilnacipran, and vortioxetine. Estimates favored fluoxetine in Findling 2022 and escitalopram in Emslie 2009; estimates for paroxetine, imipramine, levomilnacipran, and vortioxetine were imprecise or not statistically significant (12, 24–26). These results are shown in Supplementary Figure 5 and Supplementary Table 4.
Binary response or remission outcomes were reported in two parent trials. Direct estimates are shown in Supplementary Figure 6 and Supplementary Table 5.
Source verification and data-quality flags
Source-page verification showed that Durgam 2018 contributed observed week-8 CDRS-R endpoint mean/SD values rather than LS mean changes, and that Radecki 2024 LVM-MD-11 contributed observed week-8 endpoint mean/SD values, with LSM/SE values recorded separately (22, 23). Klein 1998 had a completer-endpoint and reported pooled/common-SD flag, and Kye 1996 had an ITT/protocol-end endpoint flag (Table 2; Supplementary Tables 2, 6) (20, 21).
Table 2.
Primary arm-level source verification summary.
| Trial | Treatment arm | n | Scale and endpoint | Endpoint mean (SD) | Source | Data-quality note |
|---|---|---|---|---|---|---|
| Klein 1998 | Desipramine | 18 | HAM-D, week 6 | 10.83 (2.10) | pp. 10-11, Table 6 | Completer endpoint; reported common pooled SD. |
| Klein 1998 | Pill placebo | 18 | HAM-D, week 6 | 14.61 (2.10) | pp. 10-11, Table 6 | Completer endpoint; reported common pooled SD. |
| Kye 1996 | Amitriptyline | 18 | HAM-D, week 8 | 8.00 (4.90) | pp. 3-4, Results; Table 2 | Reported ITT protocol-end endpoint; manual ITT/completer flag retained. |
| Kye 1996 | Pill placebo | 13 | HAM-D, week 8 | 8.80 (4.50) | pp. 3-4, Results; Table 2 | Reported ITT protocol-end endpoint; manual ITT/completer flag retained. |
| Durgam 2018 | Vilazodone 15 mg | 174 | CDRS-R, week 8 | 33.80 (12.00) | p. 7, Table 2 | ITT observed week-8 endpoint; not an LSM change. |
| Durgam 2018 | Vilazodone 30 mg | 180 | CDRS-R, week 8 | 32.50 (11.50) | p. 7, Table 2 | ITT observed week-8 endpoint; not an LSM change. |
| Durgam 2018 | Pill placebo | 170 | CDRS-R, week 8 | 34.00 (12.90) | p. 7, Table 2 | ITT observed week-8 endpoint; not an LSM change. |
| Radecki 2024 LVM-MD-11 | Levomilnacipran 40 mg | 134 | CDRS-R, week 8 | 38.10 (12.60) | p. 6, Table 2 | Observed week-8 endpoint; LSM/SE data kept separate. |
| Radecki 2024 LVM-MD-11 | Levomilnacipran 80 mg | 138 | CDRS-R, week 8 | 37.60 (12.70) | p. 6, Table 2 | Observed week-8 endpoint; LSM/SE data kept separate. |
| Radecki 2024 LVM-MD-11 | Fluoxetine | 134 | CDRS-R, week 8 | 37.50 (14.20) | p. 6, Table 2 | Observed week-8 endpoint; LSM/SE data kept separate. |
| Radecki 2024 LVM-MD-11 | Pill placebo | 140 | CDRS-R, week 8 | 39.60 (15.30) | p. 6, Table 2 | Observed week-8 endpoint; LSM/SE data kept separate. |
Values are endpoint mean (SD); lower HAM-D and CDRS-R scores indicate fewer depressive symptoms. p., page; pp., pages. HAM-D, Hamilton Depression Rating Scale; CDRS-R, Children’s Depression Rating Scale-Revised; ITT, intention-to-treat; LSM, least-square mean; SE, standard error. Full source-page details and full data-quality flags are provided in Supplementary Table 2. Demographic or safety denominators reported in Supplementary Table 7 may differ from endpoint or ITT denominators used in this source-verification table; endpoint denominators were used for the primary SMD analysis.
Risk-of-bias assessment
RoB 2 assessments are summarized in Supplementary Table 6. Among trials contributing to the primary SMD network, Klein 1998 was judged at high risk of bias, driven mainly by completer endpoint data in a small sample and the reported pooled/common SD; Kye 1996 was judged as having some concerns because randomization details, missing-data handling, and the ITT/protocol-end distinction were incompletely reported by current standards. Durgam 2018 and Radecki 2024 LVM-MD-11 were judged as having some concerns overall: both were contemporary randomized double-blind placebo-controlled trials with low-risk judgments for randomization, deviations from intended interventions, and outcome measurement, but missing-data assumptions could not be reanalyzed from aggregate data and selective-reporting concerns could not be fully excluded. Among trials represented in the supplementary model-based analyses, Keller 2001/Study 329 was classified as high risk because of major post-publication RIAT and selective-reporting concerns (Supplementary Table 6).
Discussion
Using adolescent-only, acute-phase, source-verifiable endpoint mean/SD criteria, the primary antidepressant network included 4 parent trials and 11 randomized arms. Contemporary antidepressants in the primary network (the SSRI fluoxetine, the SNRI levomilnacipran, and vilazodone, an SSRI and 5-HT1A receptor partial agonist) did not show statistically significant superiority over pill placebo. The only statistically significant estimate was observed for desipramine (a tricyclic antidepressant), but it originated from a small historical trial with completer endpoint data and a reported pooled/common SD. This finding was not robust after excluding Klein 1998.
Compared with previous NMAs, the estimates in this study were more conservative. Cipriani et al. synthesized antidepressant trials across children and adolescents with MDD, whereas Zhou et al. integrated pharmacological, psychological, and combined treatments across broader child-adolescent depressive-disorder populations (6, 7). Differences in age range, diagnostic spectrum, intervention class, outcome definition, data structure, and network connectivity may account for the divergent estimates. The present analysis used adolescent-specific acute randomized evidence and did not combine source-verified arm-level endpoint mean/SD data with model-based estimates, binary outcomes, or disconnected components.
Broader mixed networks can incorporate indirect evidence from child-adolescent samples, combined-treatment trials, psychotherapy comparisons, model-based contrasts, or binary response/remission outcomes. In this NMA, most estimates for contemporary antidepressants (fluoxetine, levomilnacipran, and vilazodone) were informed by individual placebo-controlled trials, and their confidence intervals crossed the null. This should not be interpreted as evidence of no clinical benefit. Rather, the available adolescent-specific arm-level endpoint data were insufficient to demonstrate robust superiority over pill placebo.
The CDRS-R-only analysis provides a complementary clinical-unit perspective. The primary SMD analysis was appropriate for combining HAM-D and CDRS-R endpoint scores on a common standardized scale, whereas the CDRS-R-only MD analysis retained the original clinical scale but necessarily excluded HAM-D trials. The directionally favorable but imprecise CDRS-R-only estimates for these contemporary antidepressants are consistent with broader reviews showing small average symptom differences and low or very low certainty for many pediatric antidepressant comparisons (27). These findings suggest that the main uncertainty is not merely statistical power, but also the limited availability of adolescent-specific, source-verifiable, and consistently reported endpoint data.
The result for desipramine (a tricyclic antidepressant) illustrates the limitations of interpreting treatment hierarchy without considering trial era and data quality. Although desipramine appeared statistically favorable in the primary network, the estimate was generated by a small historical trial and was removed when Klein 1998 was excluded. Amitriptyline, another TCA, was not statistically superior to pill placebo. These findings do not support a clinical preference for TCAs in adolescent MDD; rather, they show that a treatment ranking can be disproportionately influenced by a single historical trial when the connected network is sparse.
Post-publication RIAT reanalyses documented serious discrepancies between the original published reports and analyses based on the underlying trial records. For Study 329, paroxetine and high-dose imipramine were neither statistically nor clinically superior to placebo on the prespecified efficacy outcomes, while harms increased, including suicidal ideation and behavior and other serious adverse events (12). For TADS, the RIAT reanalysis reported that fluoxetine monotherapy did not demonstrate superiority to pill placebo and identified 11 additional suicide-related adverse events that had not been reported in the original publications (13). Selective outcome reporting, outcome switching, and incomplete or misleading classification and reporting of harms compromised the integrity of the published evidence and materially affected interpretation of efficacy and safety (12, 13, 26, 28).
Clinical interpretation should emphasize the magnitude and precision of placebo-referenced effects, source verifiability, and trial-level data-quality limitations rather than a single treatment hierarchy. In adolescent MDD, placebo response, developmental heterogeneity, adverse-event ascertainment, and incomplete reporting may affect apparent antidepressant performance.
The RoB 2 assessment reinforces this interpretation. The primary network did not contain a trial with an overall low-risk RoB 2 judgment: the statistically significant desipramine estimate came from a high-risk historical trial, whereas Kye 1996 and the contemporary placebo-connected antidepressant trials were judged as having some concerns. Therefore, the main conclusion should not be framed as a definitive absence of antidepressant efficacy, but as a limitation of the available adolescent-only, source-verifiable, placebo-connected evidence. Conversely, the desipramine signal should not be interpreted as a clinically stable or hierarchy-defining advantage because it was both statistically influential and at high risk of bias.
Limitations
Several limitations should be considered. First, the antidepressant-focused primary estimand and eligibility rules were defined post hoc, and the review was not prospectively registered; the analyses should therefore be considered exploratory. Second, the primary network was small and several estimates were informed by single parent trials, limiting precision and meaningful assessment of heterogeneity or incoherence. Third, the RoB 2 assessment identified important trial-level limitations: the statistically significant desipramine estimate came from a small historical trial at high risk of bias, while the contemporary placebo-connected antidepressant trials were judged as having some concerns. Fourth, some potentially relevant antidepressant trials were not synthesized in the primary network because they lacked extractable adolescent-specific arm-level endpoint mean/SD data, reported only model-based contrasts, or assessed endpoints beyond 12 weeks. Fifth, safety outcomes were summarized narratively because adverse-event and suicidality definitions, ascertainment, classification, and reporting were heterogeneous, and the RIAT reanalyses showed that influential publications omitted or misrepresented clinically important efficacy and harm information (12, 13). Sixth, no comparison-level CINeMA or GRADE certainty rating was conducted; therefore, the certainty of the antidepressant estimates remains limited (29, 30).
Conclusion
In the source-verified antidepressant network, estimates for contemporary antidepressants (the SSRI fluoxetine, the SNRI levomilnacipran, and vilazodone, an SSRI and 5-HT1A receptor partial agonist) did not reach statistical significance versus pill placebo, although their confidence intervals remained compatible with small benefit as well as no effect. The only statistically significant estimate was derived from a small historical desipramine trial with important risk-of-bias and data-structure limitations. Current adolescent-specific arm-level evidence is too sparse and methodologically limited to support a stable comparative efficacy hierarchy among antidepressants. Future trials should use developmentally appropriate samples, prospectively specified outcomes, transparent arm-level reporting, and complete ascertainment and reporting of adverse events and suicidality.
Funding Statement
The author(s) declared that financial support was not received for this work and/or its publication.
Footnotes
Edited by: Marcin Siwek, Jagiellonian University, Poland
Reviewed by: Melissa K Raven, University of Adelaide, Australia
Taufik Agung Pranowo, PGRI University of Yogyakarta, Indonesia
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
Author contributions
CG: Resources, Data curation, Writing – original draft, Formal analysis, Conceptualization, Validation, Investigation, Methodology, Software. WZ: Project administration, Formal analysis, Data curation, Conceptualization, Writing – original draft, Investigation. XX: Methodology, Investigation, Validation, Supervision, Data curation, Resources, Project administration, Formal analysis, Writing – original draft. QL: Validation, Resources, Visualization, Methodology, Software, Data curation, Formal analysis, Writing – original draft. YL: Validation, Supervision, Investigation, Methodology, Writing – review & editing, Formal analysis, Resources, Visualization.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2026.1881200/full#supplementary-material
References
- 1. Thapar A, Collishaw S, Pine DS, Thapar AK. Depression in adolescence. Lancet. (2012) 379:1056–67. doi: 10.1016/S0140-6736(11)60871-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Shorey S, Ng ED, Wong CHJ. Global prevalence of depression and elevated depressive symptoms among adolescents: A systematic review and meta-analysis. Br J Clin Psychol. (2022) 61:287–305. doi: 10.1111/bjc.12333 [DOI] [PubMed] [Google Scholar]
- 3. Lu B, Lin L, Su X. Global burden of depression or depressive symptoms in children and adolescents: A systematic review and meta-analysis. J Affect Disord. (2024) 354:553–62. doi: 10.1016/j.jad.2024.03.074 [DOI] [PubMed] [Google Scholar]
- 4. Walter HJ, Abright AR, Bukstein OG, Diamond J, Keable H, Ripperger-Suhler J, et al. Clinical practice guideline for the assessment and treatment of children and adolescents with major and persistent depressive disorders. J Am Acad Child Adolesc Psychiatry. (2023) 62:479–502. doi: 10.1016/j.jaac.2022.10.001 [DOI] [PubMed] [Google Scholar]
- 5. National Institute for Health and Care Excellence . Depression in Children and Young People: Identification and Management. NICE Guideline NG134 (2019). London: NICE. Available online at: https://www.nice.org.uk/guidance/ng134 (Accessed June 23, 2026). [PubMed] [Google Scholar]
- 6. Cipriani A, Zhou X, Del Giovane C, Hetrick SE, Qin B, Whittington C, et al. Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis. Lancet. (2016) 388:881–90. doi: 10.1016/S0140-6736(16)30385-3 [DOI] [PubMed] [Google Scholar]
- 7. Zhou X, Teng T, Zhang Y, Del Giovane C, Furukawa TA, Weisz JR, et al. 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. Lancet Psychiatry. (2020) 7:581–601. doi: 10.1016/S2215-0366(20)30137-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med. (2015) 162:777–84. doi: 10.7326/M14-2385 [DOI] [PubMed] [Google Scholar]
- 9. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. (2021) 372:n71. doi: 10.1136/bmj.n71 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Sterne JAC, Savovic J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. (2019) 366:l4898. doi: 10.1136/bmj.l4898 [DOI] [PubMed] [Google Scholar]
- 11. Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, et al. Cochrane Handbook for Systematic Reviews of Interventions. 2nd ed. Chichester: John Wiley & Sons; (2019). [Google Scholar]
- 12. Le Noury J, Nardo JM, Healy D, Jureidini J, Raven M, Tufanaru C, et al. Restoring Study 329: efficacy and harms of paroxetine and imipramine in treatment of major depression in adolescence. BMJ. (2015) 351:h4320. doi: 10.1136/bmj.h4320 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Aboustate N, Jureidini J, Woodman R, Le Noury J, Klau J, Abi-Jaoude E, et al. Restoring TADS: RIAT reanalysis of the treatment for adolescents with depression study. Int J Risk Saf Med. (2025) 36:218–37. doi: 10.1177/09246479251337879 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Boaden K, Tomlinson A, Cortese S, Cipriani A. Antidepressants in children and adolescents: Meta-review of efficacy, tolerability and suicidality in acute treatment. Front Psychiatry. (2020) 11:717. doi: 10.3389/fpsyt.2020.00717 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Turner EH, Matthews AM, Linardatos E, Tell RA, Rosenthal R. Selective publication of antidepressant trials and its influence on apparent efficacy. N Engl J Med. (2008) 358:252–60. doi: 10.1056/NEJMsa065779 [DOI] [PubMed] [Google Scholar]
- 16. Hughes S, Cohen D, Jaggi R. Differences in reporting serious adverse events in industry sponsored clinical trial registries and journal articles on antidepressant and antipsychotic drugs: a cross-sectional study. BMJ Open. (2014) 4:e005535. doi: 10.1136/bmjopen-2014-005535 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Papanikolaou PN, Churchill R, Wahlbeck K, Ioannidis JP. Safety reporting in randomized trials of mental health interventions. Am J Psychiatry. (2004) 161:1692–7. doi: 10.1176/appi.ajp.161.9.1692 [DOI] [PubMed] [Google Scholar]
- 18. Bridge JA, Iyengar S, Salary CB, Barbe RP, Birmaher B, Pincus HA, et al. Clinical response and risk for reported suicidal ideation and suicide attempts in pediatric antidepressant treatment: a meta-analysis of randomized controlled trials. JAMA. (2007) 297:1683–96. doi: 10.1001/jama.297.15.1683 [DOI] [PubMed] [Google Scholar]
- 19. Balduzzi S, Rücker G, Nikolakopoulou A, Papakonstantinou T, Salanti G, Efthimiou O, et al. netmeta: An R package for network meta-analysis using frequentist methods. J Stat Softw. (2023) 106:1–40. doi: 10.18637/jss.v106.i02 37138589 [DOI] [Google Scholar]
- 20. Klein RG, Mannuzza S, Koplewicz HS, Tancer NK, Shah M, Liang V, et al. Adolescent depression: controlled desipramine treatment and atypical features. Depress Anxiety. (1998) 7:15–31. doi: 10.1002/(SICI)1520-6394(1998)7:1<15::AID-DA3>3.0.CO;2-4 [DOI] [PubMed] [Google Scholar]
- 21. Kye CH, Waterman GS, Ryan ND, Birmaher B, Williamson DE, Iyengar S, et al. A randomized, controlled trial of amitriptyline in the acute treatment of adolescent major depression. J Am Acad Child Adolesc Psychiatry. (1996) 35:1139–44. doi: 10.1097/00004583-199609000-00011 [DOI] [PubMed] [Google Scholar]
- 22. Durgam S, Chen C, Migliore R, Prakash C, Edwards J, Findling RL. A phase 3, double-blind, randomized, placebo-controlled study of vilazodone in adolescents with major depressive disorder. Paediatr Drugs. (2018) 20:353–63. doi: 10.1007/s40272-018-0290-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Radecki DT, Robieson WZ, Gopalkrishnan M, Greenberg E, Aziz M. Safety and efficacy of levomilnacipran extended release in pediatric patients aged 7-17 years with major depressive disorder: Results of two phase 3, randomized, double-blind studies. J Child Adolesc Psychopharmacol. (2024) 34:241–50. doi: 10.1089/cap.2023.0080 [DOI] [PubMed] [Google Scholar]
- 24. Findling RL, DelBello MP, Zuddas A, Emslie GJ, Ettrup A, Petersen ML, et al. Vortioxetine for major depressive disorder in adolescents: 12-week randomized, placebo-controlled, fluoxetine-referenced, fixed-dose study. J Am Acad Child Adolesc Psychiatry. (2022) 61:1106–1118.e2. doi: 10.1016/j.jaac.2022.01.004 [DOI] [PubMed] [Google Scholar]
- 25. Emslie GJ, Ventura D, Korotzer A, Tourkodimitris S. Escitalopram in the treatment of adolescent depression: A randomized placebo-controlled multisite trial. J Am Acad Child Adolesc Psychiatry. (2009) 48:721–9. doi: 10.1097/CHI.0b013e3181a2b304 [DOI] [PubMed] [Google Scholar]
- 26. Keller MB, Ryan ND, Strober M, Klein RG, Kutcher SP, Birmaher B, et al. Efficacy of paroxetine in the treatment of adolescent major depression: a randomized, controlled trial. J Am Acad Child Adolesc Psychiatry. (2001) 40:762–72. doi: 10.1097/00004583-200107000-00010 [DOI] [PubMed] [Google Scholar]
- 27. Hetrick SE, McKenzie JE, Bailey AP, Sharma V, Moller CI, Badcock PB, et al. New generation antidepressants for depression in children and adolescents: a network meta-analysis. Cochrane Database Syst Rev. (2021) 2021:CD013674. doi: 10.1002/14651858.CD013674.pub2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. March J, Silva S, Petrycki S, Curry J, Wells K, Fairbank J, et al. Fluoxetine, cognitive-behavioral therapy, and their combination for adolescents with depression: Treatment for Adolescents With Depression Study randomized controlled trial. JAMA. (2004) 292:807–20. doi: 10.1001/jama.292.7.807 [DOI] [PubMed] [Google Scholar]
- 29. Nikolakopoulou A, Higgins JPT, Papakonstantinou T, Chaimani A, Del Giovane C, Egger M, et al. CINeMA: An approach for assessing confidence in the results of a network meta-analysis. PLoS Med. (2020) 17:e1003082. doi: 10.1371/journal.pmed.1003082 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Papakonstantinou T, Nikolakopoulou A, Higgins JPT, Egger M, Salanti G. CINeMA: Software for semiautomated assessment of the confidence in the results of network meta-analysis. Campbell Syst Rev. (2020) 16:e1080. doi: 10.1002/cl2.1080 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
