Evidence map›Paper›PMID 42277537›Full record

ReviewChild psychiatry and human development2026

Comparative Efficacy and Acceptability of Non-pharmacological Therapies and Novel Pharmacotherapies for Autism: A Systematic Review and Network Meta-Analysis.

Chenxiao Ma, Yixian Wang, Zuopan Ding, Xingxing Liang, Meng Yuan, Xuan Liu, Qiong Li, Hongbo Lv, Na Qiao, Yinlong Zhao and 1 more

Abstract readReview
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In one paragraph

Review in Child psychiatry and human development, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Chenxiao MaDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Yixian WangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Zuopan DingDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Xingxing LiangDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Meng YuanDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Xuan LiuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Qiong LiDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Hongbo LvDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Na QiaoDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China.
Yinlong ZhaoDepartment of Nuclear Medicine, The Second Hospital of Jilin University, Changchun, 130041, Jilin, China. yinlong@jlu.edu.cn.
Xin LiuDepartment of Epidemiology and Statistics, School of Public Health, Jilin University, Changchun, 130021, Jilin, China. liuxinjlu01@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess the efficacy and acceptability of non-pharmacological therapies, novel pharmaceuticals, and their combination for autism and explore the preferred treatment options for autism. A thorough search was conducted across PubMed, Web of Science, The Cochrane Library, Embase, PsycINFO, China National Knowledge Infrastructure, and Medline databases to collect all studies associated with randomized controlled trials on non-pharmacological or new pharmacological interventions for autism, up to October 2024. Two researchers will independently conduct literature screening, data extraction, and quality assessment. The primary outcome will be assessed by the severity of core autistic symptoms using validated scales and standardized mean differences (SMDs). In contrast, the secondary outcome will focus on the acceptability of the treatment. We performed a network meta-analysis within a frequentist framework, utilizing the network package in statistical software Stata 18. 106 RCTs were involved, including 5986 patients, and data from 21 interventions were analyzed. Compared with placebo, the following interventions improved the core symptoms of autism: exercise (SMD = -1.05, 95%CI: -1.55 to -0.55), acupuncture and moxibustion (SMD = -0.87, 95%CI: -1.13 to -0.60), tDCS (SMD = -0.86, 95%CI: -1.58 to -0.13) and bumetanide (SMD = -0.57, 95%CI: -1.12 to -0.01). The cannabinoids group has a lower acceptance rate than most of the other groups. Exercise, acupuncture, non-invasive brain stimulation, and bumetanide can improve the core symptoms of autism and can be used as an alternative or adjunct to autism treatment, but more clinical trials are still needed to support this outcome.

Indexed as

AutismNetwork meta-analysisNon-pharmacological therapiesPharmacotherapiesTreatment

Identifiers

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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.