Evidence map›Paper›PMID 41591577›Full record

ArticleAging clinical and experimental research2026

Early screening of mild cognitive impairment based on eye-tracking technology: a cross-sectional study.

Jingjing Wang, Xia Zhan, Yuhua Bi, Caixia Chen, Pengjiao Xu, Libo Chen, Dongxiao Jiang, Cheng Che, Qi Zhang

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jingjing WangDepartment of Neurointervention, Weihai Central Hospital Afffliated to Qingdao University, Weihai, 265870, China.
Xia ZhanDepartment of Neurointervention, Weihai Central Hospital Afffliated to Qingdao University, Weihai, 265870, China.
Yuhua BiDepartment of Neurointervention, Weihai Central Hospital Afffliated to Qingdao University, Weihai, 265870, China.
Caixia ChenDepartment of Neurointervention, Weihai Central Hospital Afffliated to Qingdao University, Weihai, 265870, China.
Pengjiao XuDepartment of Neurointervention, Weihai Central Hospital Afffliated to Qingdao University, Weihai, 265870, China.
Libo ChenQingdao Pengfengcheng Medical Technology Co., Ltd, Qingdao, 266000, China.
Dongxiao JiangDepartment of Neurointervention, Weihai Central Hospital Afffliated to Qingdao University, Weihai, 265870, China. Jiangdongxiao1979@163.com.
Cheng CheSchool of Economics and Management, China University of Petroleum, Qingdao, 266580, China.
Qi ZhangQingdao Pengfengcheng Medical Technology Co., Ltd, Qingdao, 266000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEarly detection is critical for the effective management of Mild Cognitive Impairment (MCI) in the elderly. This study aimed to evaluate the feasibility and performance of the eye-tracking–based screening tool for early MCI detection.

methodsA cross-sectional study was conducted involving individuals aged 60 years and older identified as high-risk for MCI at the Weihai Central Hospital, Weihai, China. Participants underwent the novel screening method, which incorporated an eye-tracking device during a brief digital cognitive task. The accuracy, sensitivity, and specificity of the eye-tracking method were calculated in comparison to the reference standard.

resultsA total of 162 participants were enrolled. The eye-tracking–based screening demonstrated an overall accuracy of 92.6%, with sensitivity of 92.4% and specificity of 93.0% in detecting MCI compared to the standard neuropsychological assessment.

conclusionThe novel screening method proved effective for the early detection of MCI in high-risk older adults, offering high accuracy, sensitivity, and specificity. Its relative simplicity suggests significant potential for clinical implementation as a preliminary screening tool in community and primary care settings.

Indexed as

Cognitive DysfunctionEye-Tracking TechnologyAgedCross-Sectional StudiesEarly DiagnosisFemaleHumansMaleMass ScreeningMiddle AgedNeuropsychological TestsSensitivity and SpecificityCognitive function assessment systemEarly detectionEye-Tracking technologyMild cognitive impairment

Identifiers

PMID41591577
PMCPMC12872682

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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.