Evidence map›Paper›PMID 40309579›Full record

ArticleWorld journal of psychiatry2025

Digital cognitive behavioral therapy as a novel treatment for insomnia.

Xu-Tong Tian, Yao Meng, Ru-Lan Wang, Rong Tan, Mei-Shan Liu, Wen Xu, Shuai Cui, Yun-Xiang Tang, Meng-Yang He, Wen-Peng Cai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of 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. 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

10 authors.

Xu-Tong TianSchool of Basic Medicine, Naval Medical University, Shanghai 200433, China.
Yao MengNaval Medical Center, Naval Medical University, Shanghai 200433, China.
Ru-Lan WangSchool of Basic Medicine, Naval Medical University, Shanghai 200433, China.
Rong TanSchool of Basic Medicine, Naval Medical University, Shanghai 200433, China.
Mei-Shan LiuSchool of Basic Medicine, Naval Medical University, Shanghai 200433, China.
Wen XuSchool of Basic Medicine, Naval Medical University, Shanghai 200433, China.
Shuai CuiSchool of Basic Medicine, Naval Medical University, Shanghai 200433, China.
Yun-Xiang TangFaculty of Psychology, Naval Medical University, Shanghai 200433, China.
Meng-Yang HeDepartment of Psychology, School of Sports Medicine, Wuhan Sports University, Wuhan 430000, Hubei Province, China.
Wen-Peng CaiFaculty of Psychology, Naval Medical University, Shanghai 200433, China. wpcai@smmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a substitute for traditional drug therapy, digital cognitive-behavioral therapy positively impacts the regulation of brain function, which can improve insomnia. However, there is currently a paucity of studies on digital cognitive behavioral therapy as a treatment for insomnia.

aimTo assess digital cognitive behavioral therapy for insomnia regarding its positive impact on brain function.

methodsParticipants were randomly assigned to either a go/no-go group or a dot-probe group. The primary outcome was quality of sleep as assessed by the actigraphy sleep monitoring bracelet, Pittsburgh sleep quality index (PSQI), insomnia severity index (ISI), and depression anxiety and stress scale (DASS-21).

resultsEighty patients were included in the analysis (go/no-go group:

conclusionGo/no-go task training of inhibitory function had a short-term positive effect on sleep efficiency, whereas dot-probe task training had a positive short-term effect on emotion regulation.

Indexed as

Digital cognitive behavioral therapyDot-probe taskGo/no-go taskInsomniaSleep efficiency

Identifiers

PMID40309579
PMCPMC12038681

What OpenQuestion holds

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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.