Evidence map›Paper›PMID 40063933›Full record

SynthesisJournal of medical Internet research2025

Intelligent Robot Interventions for People With Dementia: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Wenqi Fan, Rui Zhao, Xiaoxia Liu, Lina Ge

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A strategic pathway for the ethical development of AI tools in dementia care.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

4 authors.

Wenqi FanDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0009-0003-9396-0835
Rui ZhaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0009-0000-7371-4977
Xiaoxia LiuDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0009-0008-5354-7444
Lina GeDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0002-8967-1964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe application of intelligent robots in therapy is becoming more and more important for people with dementia. More extensive research is still needed to evaluate its impact on behavioral and psychological dementia symptoms, as well as quality of life in different care settings.

objectiveThe purpose of this research is to methodically assess how well intelligence robot interventions work for patients with dementia.

methodsIn accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, a comprehensive search was conducted on PubMed, CINAHL, the Cochrane Library, Embase, and Web of Science from the time of their founding to February 2024, to identify relevant randomized controlled trials on the use of intelligent robots in people with dementia. Two authors (WF and RZ) independently applied the Cochrane Collaboration bias assessment tool to assess the included studies' quality. The intervention effect of intelligent robots on patients with dementia was summarized using a fixed-effect model or a random-effects model with Stata software (version 16.0; StataCorp). Subgroup analysis was performed according to the intelligent robot type and the intervention duration. Publication bias was tested using funnel plots, Egger tests, and the trim-and-fill method.

resultsIn total, 15 studies were finally included for systematic review, encompassing 705 participants, of which 12 studies were subjected to meta-analysis. The meta-analysis found that compared with the control group, intelligent robot intervention significantly reduced the levels of agitation (standardized mean difference -0.36, 95% CI -0.56 to -0.17; P<.001) and anxiety (weighted mean difference -1.93, 95% CI -3.13 to -0.72; P=.002) in patients with dementia. However, the intervention of intelligent robots had no significant effect on the following (all P>.05): cognitive function, neuropsychiatric symptoms, depression, quality of life, step count during the day, and the hours of lying down during the night of patients with dementia. Subgroup analysis revealed that the improvement of depression was related to the duration of the intervention (≤12 vs 12 weeks: 0.08, 95% CI -0.20 to 0.37 vs -0.68, 95% CI -1.00 to -0.37; P=.26) and was independent of the type of intelligent robots (animal robots vs humanoid robots: -0.30, 95% CI -0.75 to 0.15 vs 0.07, 95% CI -0.21 to -0.34; P=.26).

conclusionsThis study shows that intelligent robot intervention can help improve the agitation and anxiety levels of people with dementia. The intervention may be more effective the longer it is implemented. The appearance of the intelligent robot has no effect on the intervention effect. Further research is needed to help collect physiological data, such as physical activity in people with dementia; explore the impact of other intelligent robot design features on the intervention effect; and provide a reference for improving intelligent robots and intervention programs.

trial registrationPROSPERO CRD42024523007; https://tinyurl.com/mwscn985.

Indexed as

DementiaRoboticsAutonomous RobotsHumansQuality of LifeRandomized Controlled Trials as Topicagitationanxietyartificial intelligencedementiaintelligent robotmeta-analysis

Identifiers

PMID40063933
PMCPMC11933762

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.