Evidence map›Paper›PMID 42404722›Full record

Trial reportFrontiers in psychiatry2026

Data-driven mechanistic analysis of digital therapeutic-assisted training and evaluation of personalized protocol effects in children with attention deficit/hyperactivity disorder.

Seon-Chil Kim, Na-Yeong Kong, Sun-Young Lee, Sang-Woo Lee

Abstract readClinical Trial
In one paragraph

Trial report in Frontiers in psychiatry, 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

4 authors.

Seon-Chil KimDepartment of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, Republic of Korea.
Na-Yeong KongDepartment of Psychiatry, School of Medicine, Keimyung University, Daegu, Republic of Korea.
Sun-Young LeeSenior Researcher, Biomedical Engineering Laboratory, Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, Republic of Korea.
Sang-Woo LeeInTheTech Inc., Daegu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital therapeutics (DTx) for children with ADHD have gained attention as adjunctive interventions to pharmacotherapy; however, evidence remains limited regarding the mechanisms underlying training performance decline and the clinical effectiveness of performance data-driven personalized protocols. This study aimed to identify the core mechanisms of performance decline using digital training performance data and to compare the effects of a mechanism-based personalized protocol with those of a standard protocol. Methods: A total of 40 children with ADHD (aged 5-12 years), diagnosed according to DSM-5 criteria, were randomly assigned to an experimental group (personalized protocol, n = 20) or a control group (standard protocol, n = 20). During week 1, all participants completed the same 10 training contents, from which accuracy, reaction time, and error types (commission and omission errors) were extracted to construct individualized performance profiles. During weeks 2-4, the experimental group received a personalized protocol in which content composition, difficulty, and feedback were adapted based on baseline performance profiles, whereas the control group followed a standard protocol. Total training volume was controlled to be identical between groups. Pre-post assessments were conducted using the Comprehensive Attention Test (CAT) sensitivity indices and the Korean ADHD Rating Scale (K-ARS). Baseline-adjusted ANCOVA and effect sizes were reported. Results: Performance data analyses indicated that performance decline was more closely associated with commission errors (impulsivity) than with omission errors, and a speed-accuracy trade-off was observed, whereby faster responses were associated with increased error rates. Discussion: These findings suggest that performance decline in digital training among children with ADHD may be related to impulsivity and speed-accuracy control characteristics. Furthermore, performance data-driven personalized DTx demonstrated greater improvements in objective attentional control and clinical symptoms than a standard protocol with an equivalent training volume. Clinical Trial Registration: https://cris.nih.go.kr, identifier KCT0010850.

Indexed as

ADHDCATDTxK-ARSspeed-accuracy regulation

Identifiers

PMID42404722
PMCPMC13328170

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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.