Evidence map›Paper›PMID 42823113›Full record

ArticleBMJ open2026

Association between peripheral platelet markers and motoric cognitive risk syndrome: a cross-sectional analysis of data from the WCHAT study.

Fengjuan Hu, Yan Zhang, Gongchang Zhang, Lixing Zhou, Yiping Deng, Daiping Li, Xueling Deng, Tingting Huang, Chenying Fu, Birong Dong and 1 more

Abstract read
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Article in BMJ open, 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

11 authors.

Fengjuan Hu *National Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yan Zhang *National Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Gongchang Zhang *National Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Lixing ZhouNational Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yiping DengNational Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Daiping LiNational Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Xueling DengNational Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Tingting HuangNational Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Chenying FuNational Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Birong DongNational Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China birongdong123@outlook.com gemeiling025@163.com.ORCID http://orcid.org/0000-0002-2601-5855
Meiling GeNational Clinical Research Center for Geriatrics, Center of Gerontology and Geriatrics, West China Hospital of Sichuan University, Chengdu, Sichuan, China birongdong123@outlook.com gemeiling025@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the association between peripheral platelet indices and motoric cognitive risk syndrome (MCR).

designA cross-sectional analysis using baseline data from the West China Health and Aging Trend (WCHAT) study.

settingCommunity settings across several ethnically diverse regions of western China.

participantsFrom an initial pool of 7536 community-dwelling adults in the WCHAT study, 4080 participants were included in the final analysis after applying exclusion criteria. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was MCR, defined by the concurrent presence of subjective cognitive complaints and slow gait speed (≥1 SD below sex- and age-stratified mean) in the absence of dementia or mobility disability. The exposures were platelet indices, including platelet count (PLT), mean platelet volume, platelet distribution width (PDW), platelet-large cell ratio (P-LCR) and platelet crit (PCT). Multivariable logistic regression was used to examine the associations between platelet indices and MCR. Restricted cubic spline analysis was performed to explore non-linear associations.

resultsAmong the 4080 participants, 320 (7.84%) met the diagnostic criteria for MCR. After adjustment for potential confounders, higher PLT (OR=1.17, 95% CI 1.04 to 1.32, p=0.007) and PCT (OR=1.13, 95% CI 1.01 to 1.26, p=0.046) were associated with greater odds of MCR. Conversely, higher PDW (OR=0.85, 95% CI 0.75 to 0.97, p=0.014) and P-LCR (OR=0.87, 95% CI 0.77 to 0.98, p=0.026) were associated with lower odds of MCR. Furthermore, a nonlinear relationship was identified for PDW and MCR (p<0.05), with a threshold at 13.40%.

conclusionsSpecific platelet indices are significantly associated with MCR. Further prospective studies are warranted to confirm these associations and explore the underlying mechanisms. TRIAL REGISTRATION NUMBER: China Clinical Trial Center (ChiCTR1800018895).

Indexed as

Blood PlateletsCognition DisordersAgedBiomarkersChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMean Platelet VolumeMiddle AgedPlatelet CountRisk FactorsSyndromeWalking SpeedBiomarkersAgingChinaCognitionGERIATRIC MEDICINEPlatelet Count

Identifiers

PMID42823113
PMCPMC13636322

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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.