Evidence map›Paper›PMID 40585552›Full record

ReviewFrontiers in psychiatry2025

Efficacy of therapist-supported online remote behavioral therapy for tic disorders: a systematic review and meta-analysis.

Xiaolei Xu, Kangsheng Zhu, Weiyi Wang, Tianyu Zhao, Congrui Fu

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 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. 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.

Xiaolei XuSchool of Nursing, Hebei Medical University, Hebei, Shijiazhuang, China.
Kangsheng ZhuDepartment of Anesthesiology, The Forth Hospital of Hebei Medical University, Shijiazhuang, China.
Weiyi WangDepartment of Immunology and Pathobiology, Hebei University of Chinese Medicine, Shijiazhuang, China.
Tianyu ZhaoSchool of Nursing, Hebei Medical University, Hebei, Shijiazhuang, China.
Congrui FuSchool of Nursing, Hebei Medical University, Hebei, Shijiazhuang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recently, several studies about therapist-supported online remote behavioral therapy (TSORBT) have been showed effective for tic disorders (TD). With the increasing adoption of telemedicine, a systematic review of existing evidence is crucial to confirm the efficacy of TSORBT in treating TD. Aim: We aim to assess the efficacy of TSORBT on the treatment of TD. Method: This review followed PRISMA guidelines. We searched PubMed, Web of Science, Cochrane, and Embase up to September 2024 for clinical trials on TSORBT's efficacy in TD. Two researchers independently screened studies, focusing on the Total Tic Severity Score of the Yale Global Tic Severity Scale (YGTSS-TTSS) and other subscores of the YGTSS-motor tic score (YGTSS-MTS), YGTSS-vocal tic score (YGTSS -VTS), YGTSS-impairment score and Parent Tic Questionnaire (PTQ). Risk of bias was assessed using Cochrane RoB 2. Data were analyzed in RevMan 5.4, with outcomes expressed as mean difference (MD) and 95% CI. Results: In total, 2764 articles were identified for screening. Nine studies involving 1049 participants, with 527 assigned to the TSORBT and 522 to the control were included. TSORBT exhibited potential in addressing YGTSS-TTSS (MD = -2.22, 95% CI: [-3.16, -1.29], Conclusion: The current study demonstrates the promising therapeutic efficacy of TSORBT in TD. Further rigorously designed studies, particularly those assessing long-term treatment durability, are warranted to consolidate the evidence base.

Indexed as

behavior therapyinternet-deliveredonlinetic disorderstics

Identifiers

PMID40585552
PMCPMC12202563

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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.