Evidence map›Paper›PMID 40933146›Full record

Trial reportWorld journal of psychiatry2025

Community-based assisted screening for mild cognitive impairment using gait and handwriting kinematic parameters analysis.

Yin-Xia Ren, Bei Wu, Jian-Lin Lou, Xiao-Rong Zhu, Chen Zhang, Qing Lang, Zhu-Qin Wei, Li-Ming Su, Heng-Nian Qi, Li-Na Wang

Abstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in World journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Yin-Xia RenSchool of Medicine, Huzhou Key Laboratory of Precise Prevention and Control of Major Chronic Diseases, Huzhou University, Huzhou 313000, Zhejiang Province, China.
Bei WuRory Meyers College of Nursing, New York University, New York, NY 10010, United States.
Jian-Lin LouSchool of Medicine, Huzhou Key Laboratory of Precise Prevention and Control of Major Chronic Diseases, The First Affiliated Hospital, Huzhou University, Huzhou 313000, Zhejiang Province, China.
Xiao-Rong ZhuDepartment of Information Engineering, Huzhou University, Huzhou 313000, Zhejiang Province, China.
Chen ZhangRenhuangshan Binhu Community Health Service Centre, Renhuangshan Binhu Community Health Service Centre, Huzhou 313000, Zhejiang Province, China.
Qing LangLibrary, Huzhou University, Huzhou 313000, Zhejiang Province, China.
Zhu-Qin WeiDepartment of Nursing, Shanghai General Hospital, Shanghai 201600, China.
Li-Ming SuSchool of Medicine, Zhejiang Ocean University, Zhoushan 316022, Zhejiang Province, China.
Heng-Nian QiDepartment of Information Engineering, Huzhou University, Huzhou 313000, Zhejiang Province, China.
Li-Na WangSchool of Medicine, Huzhou Key Laboratory of Precise Prevention and Control of Major Chronic Diseases, Huzhou University, Huzhou 313000, Zhejiang Province, China. 02474@zjhu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults with mild cognitive impairment (MCI) often show motor dysfunction, including slower gait and impaired handwriting. While gait and handwriting parameters are promising for MCI screening, their combined potential to distinguish MCI from cognitively normal adults is unclear.

aimTo assess gait and handwriting differences and their potential for screening MCI in older adults.

methodsNinety-five participants, including 34 with MCI and 61 cognitively normal controls, were assessed for gait using the GAITRite

resultsCompared to the cognitively normal group, the MCI group had slower gait velocity (

conclusionIntegrating gait and handwriting kinematics parameters provides a viable method for distinguishing MCI, potentially supporting large-scale screening, especially in resource-limited settings.

Indexed as

Digital healthEarly detectionGaitHandwritingMild cognitive impairment

Identifiers

PMID40933146
PMCPMC12417942

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.