Evidence map›Paper›PMID 42729511›Full record

ArticleFrontiers in digital health2026

An LLM-supported just-in-time adaptive intervention delivered by a socially assistive robot for cognitive training in mild cognitive impairment: study protocol for an assessor-blinded randomized controlled trial.

Jingzheng Yan, Yahui Cheng, Yaning Wang, Yingjuan Cao

Abstract read
In one paragraph

Article in Frontiers in digital health, 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.

Jingzheng YanSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.
Yahui ChengSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.
Yaning WangSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.
Yingjuan CaoSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mild cognitive impairment (MCI) is a clinically important stage at which non-pharmacological interventions may help preserve cognitive function and daily functioning. Existing digital cognitive training programs are often limited by static task progression, declining engagement, and insufficient responsiveness to moment-to-moment cognitive and emotional states. Objective: This study protocol describes a single-center, parallel-group, assessor-blinded randomized controlled trial evaluating an adaptive cognitive training intervention delivered by a socially assistive robot and supported by a large language model (LLM). Methods and analysis: A total of 126 adults aged 60 years or older with MCI will be randomized 1:1 to either an LLM-supported robot-assisted adaptive cognitive training intervention ( Ethics and dissemination: The protocol has been approved by the Ethical Committee of the School of Nursing and Rehabilitation, Shandong University (Approval No. 2026-R-072; approved March 10, 2026). Written informed consent will be obtained before enrollment. Clinical Trial Registration: https://www.chictr.org.cn/historyversionpubEN.html?regno=ChiCTR2600125870, identifier ChiCTR2600125870.

Indexed as

cognitive trainingdigital therapeuticsjust-in-time adaptive interventionlarge language modelmild cognitive impairmentneuroimaging biomarkersrandomized controlled trialsocially assistive robot

Identifiers

PMID42729511
PMCPMC13562085

What OpenQuestion holds

Textmetadata
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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.