Evidence map›Paper›PMID 39979850›Full record

ArticleBMC geriatrics2025

Predictive role of gait parameters and MRI markers in assessing cognitive decline in CSVD patients.

Yushuang Liu, Li Zhang, Shanshan Yang, Ruijia Liu, Lian Yi, Meng Liu, Sihan Liu, Zhongling Zhang

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 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
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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

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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.

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4 · The record

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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

8 authors.

Yushuang LiuDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, NO.23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang Province, China.
Li ZhangDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, NO.23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang Province, China.
Shanshan YangDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, NO.23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang Province, China.
Ruijia LiuDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, NO.23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang Province, China.
Lian YiDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, NO.23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang Province, China.
Meng LiuDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, NO.23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang Province, China.
Sihan LiuDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, NO.23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang Province, China.
Zhongling ZhangDepartment of Neurology, The First Affiliated Hospital of Harbin Medical University, NO.23, Youzheng Street, Nangang District, Harbin, 150001, Heilongjiang Province, China. zhangzhongling7@126.com.

Funding

Key Research and Development Plan Project of Heilongjiang Province 2022ZX06C02
6 · The paper itself

Abstract

backgroundCerebral small vessel disease (CSVD) is a major contributor to cognitive decline and gait abnormalities in the elderly population. Understanding the relationship between these impairments can aid in early detection and intervention. This study investigated the association between gait performance and cognitive decline in patients with CSVD, focusing on specific gait parameters as potential clinical markers of cognitive impairment.

methodsThis cross-sectional study included 95 elderly patients with confirmed atherosclerotic CSVD at Guangzhou Geriatric Hospital. Participants underwent comprehensive gait assessments using the Timed Up and Go (TUG) test, Berg Balance Scale (BBS), and Short Physical Performance Battery (SPPB). Cognitive function was evaluated using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Imaging markers, including total magnetic resonance imaging (MRI) CSVD burden and Fazekas scale score, were analyzed.

resultsParticipants with cognitive decline performed significantly worse on the TUG test, BBS, and SPPB, particularly on the SPPB sit-to-stand component. The total MRI CSVD burden and Fazekas scale scores were significantly higher in the cognitive decline group. Deep cerebral microbleeds and enlarged perivascular spaces in the basal ganglia were more prevalent in individuals with cognitive decline. The association between the SPPB sit-to-stand score and cognitive decline remained significant after adjusting for confounders (OR 0.44; 95% confidence interval (CI) 0.21 to 0.94; p = 0.034).

conclusionThis study highlighted the significant relationship between gait performance and cognitive decline in elderly patients with CSVD. In particular, the sit-to-stand component emerged as a robust predictor of cognitive impairment, suggesting its potential as a valuable clinical marker for early detection. The incorporation of gait assessments into routine clinical evaluations can enhance early intervention efforts, improve patient outcomes, and inform healthcare policies. Further longitudinal and multicenter studies are warranted to validate these findings and to explore the underlying mechanisms.

Indexed as

Cerebral Small Vessel DiseasesCognitive DysfunctionGaitMagnetic Resonance ImagingAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMalePredictive Value of TestsCerebral small vessel diseaseCognitive declineEarly detectionGait assessmentSPPB sit-to-stand

Identifiers

PMID39979850
PMCPMC11841008

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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.