Evidence map›Paper›PMID 39551947›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Distinctive Gait Variations and Neuroimaging Correlates in Alzheimer's Disease and Cerebral Small Vessel Disease.

Xia Zhou, Wen-Wen Yin, Chao-Juan Huang, Si-Lu Sun, Zhi-Wei Li, Ming-Xu Li, Meng-Meng Ren, Ya-Ting Tang, Jia-Bin Yin, Wen-Hui Zheng and 6 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

16 authors.

Xia ZhouDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Wen-Wen YinDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Chao-Juan HuangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Si-Lu SunDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhi-Wei LiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Ming-Xu LiDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Meng-Meng RenDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Ya-Ting TangDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Jia-Bin YinDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Wen-Hui ZhengDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Chao ZhangDepartment of Neurology, The First Affiliated Hospital of USTC, Hefei, China.
Yu SongDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Ke WanDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Yue SunDepartment of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiao-Qun ZhuDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Zhong-Wu SunDepartment of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.ORCID 0000-0002-7230-9328

Funding

Anhui Provincial University Natural Science Research Project 2023AH053297Basic and Clinical Cooperative Research Promotion Plan of Anhui Medical University 2020xkjT026Key Research and Development Projects of Anhui Province 202104j07020031
6 · The paper itself

Abstract

backgroundBoth Alzheimer's disease (AD) and cerebral small vessel disease (CSVD) manifest in cognitive impairment and gait disorders. The precise similarities and differences in gait characteristics and underlying neuroimaging mechanisms remain unclear.

methodsA total of 399 participants were enrolled: 132 with probable AD, including 98 with mild cognitive impairment due to AD (AD-MCI) and 34 with AD dementia, and 185 with CSVD and 82 healthy controls. CSVD patients with cognitive impairment, including subcortical vascular mild cognitive impairment (svMCI) and subcortical vascular dementia, were grouped as subcortical vascular cognitive impairment (SVCI). Voxel-based morphology analysis assessed grey matter volume (GMV), while cerebral blood flow (CBF) was derived from 3D-arterial spin labelling data. Gait metrics included the timed up and go (TUG) test, dual-task TUG (DTUG) test, Berg balance scale (BBS), dual-task cost (DTC), step length, gait speed, cadence and coefficient of variation of gait. The relationships among structural and perfusion variations, gait metrics and cognitive function were examined.

resultsSVCI patients exhibited greater gait impairments and variability than those with AD, while AD patients experienced higher DTC (p < 0.05). These differences were most evident in the MCI stage. In AD, gait speed correlated with GMV in the left middle occipital gyrus (F = 6.149), middle temporal gyrus (F = 4.595), right precuneus (F = 5.174) and other regions (all p < 0.025). In SVCI, gait speed was linked to thalamic GMV (F = 6.004, p < 0.025). Altered CBF in the parietal lobe and precuneus was associated with DTUG (F = 5.672), gait speed (F = 4.347) and BBS (F = 4.153) in AD, while cerebellar CBF related to TUG (F = 6.042), DTUG (F = 4.857) and BBS (F = 7.097) in SVCI (all p < 0.025). In AD-MCI, memory mediated the effect of hippocampal volume on DTC (indirect effect: -2.432, 95% CI [-5.503, -0.438]), while executive function (indirect effect: -2.920, 95% CI [-7.227, -0.695]) and processing speed (indirect effect: -2.286, 95% CI [-5.174, -0.484]) mediated the effect on DTUG. In svMCI, executive function mediated the effect of thalamic volume on step length (indirect effect: 2.309, 95% CI [0.486, 4.685]) and gait speed (indirect effect: 2.029, 95% CI [0.142, 4.588]), while processing speed mediated the effect on step length (indirect effect: 1.777, 95% CI [0.311, 4.021]).

conclusionsDifferent gait disorder characteristics and mechanisms were observed in AD and CSVD patients. In AD, gait is associated with volume/perfusion in posterior brain regions, whereas in SVCI, it relates to thalamic volume and cerebellar perfusion. Cognitive impairment mediates the effect of hippocampal and thalamic volumes on gait in AD-MCI and svMCI, respectively.

Indexed as

Alzheimer DiseaseCerebral Small Vessel DiseasesGaitNeuroimagingAgedAged, 80 and overCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedAlzheimer's diseasecerebral small vessel diseasecognitiongait

Identifiers

PMID39551947
PMCPMC11634515

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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.