Evidence map›Paper›PMID 40181492›Full record

ReviewChild and adolescent psychiatry and mental health2025

Meta-analysis of behavioral treatments for selective mutism: findings from selective mutism questionnaire (SMQ) and school speech questionnaire (SSQ).

Daichi Iimura, Natsuki Tsujita, Mizuki Aoki, Hiromichi Hagihara

Abstract readReview
In one paragraph

Review in Child and adolescent psychiatry and mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Daichi IimuraInstitute of Human Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba- shi, Ibaraki, 305-8572, Japan. iimura.daichi.ga@u.tsukuba.ac.jp.
Natsuki TsujitaInstitute for Transdisciplinary Graduate Degree Programs, Osaka University, Osaka, Japan.
Mizuki AokiGraduate School of Comprehensive Human Sciences, University of Tsukuba, Ibaraki, Japan.
Hiromichi HagiharaGraduate School of Human Sciences, Osaka University, Osaka, Japan.

Funding

Japan Society for the Promotion of Science 21K17523
6 · The paper itself

Abstract

backgroundThis meta-analysis aims to assess the efficacy of behavioral therapy for selective mutism (SM) using the Selective Mutism Questionnaire (SMQ) and School Speech Questionnaire (SSQ).

methodsWe analyzed 12 articles involving 472 participants and comprising three randomized controlled trials and nine before-after or multiple baseline study designs.

resultsOur findings indicate a significant improvement in symptoms of SM, as indicated by the SMQ total, the SMQ subsections scores (school, home, and public), and the SSQ. The mean SMQ total score improved by 0.51 [95% confidence interval of 0.32-0.70] with a large effect size (Hedges' adjusted g = 1.00 [0.62-1.39]). This effect did not differ significantly based on the study design. Based on the treatment strategy, web-based treatment demonstrated less improvement (0.12 [- 0.11-0.36]) compared with face-to-face treatment (0.59 [0.39-0.80]).

conclusionsThis meta-analysis revealed that SM treatment significantly improved their speaking behavior measured by the SMQ and SSQ, though potential subgroups that influence the treatment efficacy remain. SMQ has also shown validity and responsiveness as an outcome tool for behavioral therapy for SM. Further clinical practices with randomized controlled trials are recommended to clarify the potential differences of treatment or target populations.

Indexed as

Behavioral treatmentMeta-analysisSchool speech questionnaire (SSQ)Selective mutismSelective mutism questionnaire (SMQ)

Identifiers

PMID40181492
PMCPMC11969985

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Registered trials

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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.