Evidence map›Paper›PMID 42131831›Full record

Trial reportFrontiers in neurology

AI-driven telerehabilitation for older adults with mild cognitive impairment: a randomized controlled trial.

Minsong Kim, Doo Young Kim, Taeksoo Jeong, Si-Woon Park

Abstract readClinical Trial
In one paragraph

Trial report in Frontiers in neurology. 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

4 authors.

Minsong KimDepartment of Rehabilitation Medicine, International St Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Republic of Korea.
Doo Young KimDepartment of Rehabilitation Medicine, International St Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Republic of Korea.
Taeksoo JeongDepartment of Rehabilitation Medicine, International St Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Republic of Korea.
Si-Woon ParkDepartment of Rehabilitation Medicine, International St Mary's Hospital, Catholic Kwandong University College of Medicine, Incheon, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: With the rising prevalence of aging populations, accessible interventions for Mild Cognitive Impairment (MCI) are critical. MCI, a high-risk transitional state to dementia, is considered the most opportune window for intervention to maintain or enhance cognitive function. This study evaluates the clinical efficacy of Zenicog Methods: A total of 70 older adults (aged 65 years or older) with MCI (indicated by a K-MMSE2 score between 18 and 26) were recruited for this delayed-treatment parallel randomized clinical trial with an exploratory crossover phase. Participants were randomized into Group AB (intervention-first) or Group BA (control-first). The intervention consisted of a 5-week home program (24 sessions) using an AI algorithm for autonomous difficulty adjustment. The primary outcome was global cognitive function, measured by the K-MMSE2. Secondary outcomes included domain-specific cognitive tests [Digit Span Forward (DSF), Digit Span Backward (DSB), Trail Making Test-A/B (TMT-A/B)], psychosocial measures and usability and adverse events were also assessed. Primary analysis focused on Period 1 (T1), comparing Group AB (intervention) to Group BA (control). Participants were randomized via a computer-generated block randomization method. Randomization used concealed allocation via sequentially numbered opaque envelopes prepared independently, with group assignment performed by a blinded investigator. Results: Sixty-two participants were included in the final analysis, randomly allocated to Group AB ( Discussion: AI-driven, self-guided telerehabilitation is a feasible and effective strategy for improving global cognitive function in MCI patients. Its scalability and minimal supervision requirements make it a viable alternative to clinic-based therapy in aging societies. Clinical Trial Registration: Clinical Research Information Service (CRIS), KCT0008968, https://cris.nih.go.kr/cris/search/detailSearch.do?seq=31040&search_page=L. Registered on November 21, 2023.

Indexed as

artificial intelligencecognitive trainingMild Cognitive Impairmentmobile applicationtelerehabilitation

Identifiers

PMID42131831
PMCPMC13160745

What OpenQuestion holds

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LicenceCC BY
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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.