Evidence map›Paper›PMID 40859188›Full record

SynthesisBMC psychiatry2025

Effects of different interventions on anxiety disorders in children and adolescents: a systematic review and bayesian network meta-analysis.

Longhui Li, Qiner Li, Jingyi Wang, Quan Fu, Meng Chi

Abstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Longhui LiCapital University of Physical Education and Sports, Beijing, 100191, China.
Qiner LiCapital University of Physical Education and Sports, Beijing, 100191, China.
Jingyi WangCapital University of Physical Education and Sports, Beijing, 100191, China.
Quan FuCapital University of Physical Education and Sports, Beijing, 100191, China. fuquan@cupes.edu.cn.
Meng ChiShenyang Pharmaceutical University, Shenyang, 110016, China. 849715418@qq.com.

Funding

Beijing Municipal University Great Wall Scholar Training Program CIT&TCD20180335China Association for Science and Technology Graduate Student Science Popularization Ability Improvement Project KXYJS2024007
6 · The paper itself

Abstract

backgroundAnxiety disorders are among the most prevalent psychiatric conditions, particularly affecting children and adolescents. Since the COVID-19 pandemic, the incidence of anxiety in this population has increased, making it a significant public health concern. This study aimed to evaluate the effectiveness of various interventions for anxiety disorders in children and adolescents and identify the most effective approach to mitigate the impact of these disorders.

methodsWe conducted a thorough search of eligible randomized controlled trials across five databases: Cochrane, Embase, PubMed, Scopus, and Web of Science. A Bayesian network meta-analysis was performed using R Studio, and the quality of evidence was evaluated using the GRADE method.

resultsFrom 19,442 publications retrieved, 30 RCTs involving 1,711 participants were included. The results showed that Acceptance and Commitment Therapy was the most effective intervention for treating anxiety disorders in children and adolescents (MD = -3.83 [95% CrI: -9.33, 1.51]). Cognitive Behavioral Therapy was the second most effective (MD = -3.64 [95% CrI: -7.36, -0.48]), followed by Virtual Reality Exposure Therapy (MD = -2.53 [95% CrI: -8.23, 3.32]) and Physical Exercise (MD = -2.16 [95% CrI: -9.99, 5.52]).

conclusionsAcceptance and Commitment Therapy (ACT) appears to be the most effective intervention for anxiety disorders in children and adolescents. However, this finding should be interpreted with caution due to the overall low quality of evidence, high heterogeneity, and imprecision in the results. Future research should investigate the potential benefits of combining physical exercise or virtual reality-assisted therapies. Moreover, large-scale, high-quality randomized controlled trials are essential to further validate and refine these findings.

trial registrationPROSPERO, CRD42024587910.

Indexed as

Acceptance and Commitment TherapyAnxiety DisordersCognitive Behavioral TherapyCOVID-19AdolescentBayes TheoremChildHumansRandomized Controlled Trials as TopicVirtual Reality Exposure TherapyAdolescentAnxietyChildrenNetwork meta-analysisPhysical exercisePsychotherapyVirtual reality

Identifiers

PMID40859188
PMCPMC12379421

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.