Evidence map›Paper›PMID 40034126›Full record

Trial reportNeuropsychiatric disease and treatment2025

Examination on the Acceptability, Feasibility and Effectiveness of a Digital Cognitive Training Software in Patients With Stable Schizophrenia in China.

Liu Yang, Yajing Tang, Jiahui Zhu, Lingzi Xu, Mingqia Wang, Wei Sun, Chuan Shi

Abstract readCase ReportsClinical Trial
In one paragraph

Trial report in Neuropsychiatric disease and treatment, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Liu Yang *Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, People's Republic of China.ORCID 0009-0005-8814-8169
Yajing Tang *Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, People's Republic of China.
Jiahui ZhuThe National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0003-2157-8768
Lingzi XuBeijing Infinite Brain Technologies, Beijing, People's Republic of China.
Mingqia WangPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, People's Republic of China.
Wei SunBeijing Infinite Brain Technologies, Beijing, People's Republic of China.
Chuan ShiPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This single-arm study aimed to explore the acceptability and effectiveness of a digital cognitive training software (IBT-004) in patients with stable schizophrenia. Methods: This study conducted an 8-week home-based cognitive training program, IBT-004, for patients with stable schizophrenia. Forty-seven participants were recruited from Peking University Sixth Hospital and Hebei Provincial Mental Health Center. IBT-004 focused on improving cognitive function through independent tasks. Cognitive function was assessed using the Chinese Brief Neurocognitive Suite of Tests (C-BCT) and self-report scales, with additional evaluation of the program's acceptability and feasibility. Results: After 8 weeks of cognitive training, patients showed significant improvements in total cognitive scores, Digit Span, and Trial Making Test (P < 0.05). Subjective cognitive distress significantly decreased (Z = -3.758, P < 0.001). Age (B = -0.532, β = -0.476, P < 0.05) and training duration (B = 0.273, β = 0.340, P < 0.05) were significant predictors of Continuous Performance Test scores (F = 3.884, P < 0.05). Patients showed high acceptance of the software. Enjoyment scores (1-5 scale) ranged from 3.46 to 4.14, and difficulty scores (1-5 scale) ranged from 2.31 to 2.86, with no significant changes over time (P < 0.05). The average training time was 36.89 hours, and adherence reached 92.24%, indicating strong engagement and compliance. Conclusion: This study showed that a home-based online cognitive training program improved cognitive function in patients with stable schizophrenia. Significant gains were seen in overall cognitive scores, processing speed, and attention. Participants also reported reduced cognitive distress. Younger age and longer training hours were linked to better outcomes. The program had high adherence, supported by personalized adjustments and engaging features. These results confirm the program's feasibility and effectiveness for cognitive improvement in schizophrenia. Clinical Trials Registration: ChiCTR2200055930.

Indexed as

C-BCTChinese brief neurocognitive suite of testscognitive trainingdigital cognitive training softwarestable schizophrenia

Identifiers

PMID40034126
PMCPMC11874757

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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.