Evidence map›Paper›PMID 35935417›Full record

ArticleFrontiers in psychiatry2022

A voice recognition-based digital cognitive screener for dementia detection in the community: Development and validation study.

Xuhao Zhao, Ruofei Hu, Haoxuan Wen, Guohai Xu, Ting Pang, Xindi He, Yaping Zhang, Ji Zhang, Christopher Chen, Xifeng Wu and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05886114 (A Multi-domain Lifestyle Intervention Among Aged Community-residents in Zhejiang, China), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% of its field
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.

NCT05886114 narecruitingnot on this mapstarted 2023, after this paper: background citation

A Multi-domain Lifestyle Intervention Among Aged Community-residents in Zhejiang, China

TypeinterventionalSponsorZhejiang UniversityRan2023 to 2027Enrolled1,200ConditionsCognitive Impairment, Alzheimer Disease, Vascular Cognitive Impairment, DementArmsStructured Multi-domain Intervention, Self-Guided Intervention
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Clinical validation of a voice-based AI tool for screening cognitive impairment: a prospective multicenter study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Validation of the Computerized Cognitive Assessment Test: NNCT.International journal of environmental research and public health · 2022
    Article
  11. Review
  12. 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

11 authors at 4 institutions in 3 countries.

Xuhao ZhaoSchool of Public Health and The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Ruofei HuLife Support Technologies Group, Technical University of Madrid, Madrid, Spain.
Haoxuan WenSchool of Public Health and The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Guohai XuDAMO Academy, Alibaba Group, Hangzhou, China.
Ting PangSchool of Public Health and The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Xindi HeSchool of Public Health and The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Yaping ZhangSchool of Public Health and The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Ji ZhangDAMO Academy, Alibaba Group, Hangzhou, China.
Christopher ChenMemory, Ageing, and Cognition Centre (MACC), Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Xifeng WuSchool of Public Health and The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Xin XuSchool of Public Health and The Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CNAlibaba Group (China) · CNNational University of Singapore · SGUniversidad Politécnica de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: To facilitate community-based dementia screening, we developed a voice recognition-based digital cognitive screener (digital cognitive screener, DCS). This proof-of-concept study aimed to investigate the reliability, validity as well as the feasibility of the DCS among community-dwelling older adults in China. Methods: Eligible participants completed demographic, clinical, and the DCS. Diagnosis of mild cognitive impairment (MCI) and dementia was made based on the Montreal Cognitive Assessment (MoCA) (MCI: MoCA < 23, dementia: MoCA < 14). Time and venue for test administration were recorded and reported. Internal consistency, test-retest reliability and inter-rater reliability were examined. Receiver operating characteristic (ROC) analyses were conducted to examine the discriminate validity of the DCS in detecting MCI and dementia. Results: A total of 103 participants completed all investigations and were included in the analysis. Administration time of the DCS was between 5.1-7.3 min. No significant difference ( Conclusion: The DCS is a feasible, reliable and valid digital dementia screening tool for older adults. The applicability of the DCS in a larger-scale community-based screening stratified by age and education levels warrants further investigation.

Indexed as

dementiadigital cognitive screeningMCIMoCAreliabilityvalidity

Identifiers

PMID35935417
PMCPMC9354045
OpenAlexW4286697593

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.