Evidence map›Paper›PMID 42368465›Full record

ArticleFrontiers in aging neuroscience2026

Clinical and neuroimaging correlates of motoric cognitive risk syndrome in cerebral small vessel disease: a cross-sectional study.

Huixin Zhang, Tong Guo, Ran Zhang, Hongyi Yan, Shuo Yang, Ying Gao, Tingting Wang, Weiqi Chen, Yuesong Pan, Yilong Wang and 2 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Huixin Zhang *Department of Nursing, Beijing Tiantan Hospital, Beijing, China.
Tong Guo *Department of Neurology, Beijing Tiantan Hospital, Beijing, China.
Ran Zhang *Department of Nursing, Beijing Tiantan Hospital, Beijing, China.
Hongyi YanNational Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China.
Shuo YangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Ying GaoNational Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China.
Tingting WangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Weiqi ChenDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Yuesong PanNational Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China.
Yilong WangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Weixin CaiDepartment of Nursing, Beijing Tiantan Hospital, Beijing, China.
Ling GuanDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cerebral small vessel disease (CSVD) and motoric cognitive risk syndrome (MCR) are both associated with adverse outcomes in older adults. Factors associated with MCR in CSVD remain poorly understood. We aimed to explore factors associated with MCR and its components (slow gait and subjective cognitive complaints [SCCs]) in CSVD, and to evaluate exploratory association-based multivariable models. Methods: This cross-sectional study included CSVD patients aged ≥55 years without possible dementia based on education-adjusted MoCA screening from the cognitive subgroup of a national registry. Demographics, clinical variables, physical activity, and CSVD neuroimaging markers were assessed. MCR was defined as co-existing slow gait (age- and sex-adjusted) and SCCs (single-item memory complaint from the 15-item Geriatric Depression Scale). Logistic regression and receiver operating characteristic analyses were performed to identify associated factors and evaluate models. Firth penalized logistic regression and bootstrap internal validation were additionally performed to assess sparse-data bias and optimism in model discrimination. Results: Among 225 patients (mean age 65.4 years, 54.2% male), MCR prevalence was 16.4%. In multivariable models, MCR was associated with lower average systolic blood pressure and high total CSVD burden, while physical inactivity showed a positive but imprecise association because of sparse exposure. SCCs were associated with greater juxtacortical white matter hyperintensity volume and higher total CSVD burden. Slow gait was associated with dyslipidemia, poorer functional status, and higher basal ganglia perivascular spaces. The comprehensive exploratory model integrating demographic, clinical, and neuroimaging factors achieved areas under the curve of 0.732 for MCR, 0.733 for SCCs, and 0.770 for slow gait; the corresponding optimism-corrected AUCs were 0.691, 0.696, and 0.725, respectively. Conclusion: In this exploratory cross-sectional analysis, MCR in CSVD patients showed associations with vascular, lifestyle-related, and neuroimaging markers. However, given the small number of MCR events, the single-item SCC assessment, the lack of temporality, and the limited persistence of associations after FDR correction, these findings should be interpreted as hypothesis-generating.

Indexed as

cerebral small vessel diseasemotoric cognitive risk syndromeneuroimagingphysical activityslow gaitsubjective cognitive complaints

Identifiers

PMID42368465
PMCPMC13294206

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.