Evidence map›Paper›PMID 36815175›Full record

ArticleFrontiers in aging neuroscience2023

Study of gray matter atrophy pattern with subcortical ischemic vascular disease-vascular cognitive impairment no dementia based on structural magnetic resonance imaging.

Lin Tan, Jian Xing, Zhenqi Wang, Xiao Du, Ruidi Luo, Jianhang Wang, Jinyi Zhao, Weina Zhao, Changhao Yin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

9 citing papers in PubMed, 9 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Lin TanDepartment of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Jian XingDepartment of Imaging, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Zhenqi WangDepartment of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Xiao DuDepartment of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Ruidi LuoDepartment of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Jianhang WangDepartment of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Jinyi ZhaoDepartment of Imaging, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Weina ZhaoDepartment of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Changhao YinDepartment of Neurology, Hongqi Hospital Affiliated to Mudanjiang Medical University, Mudanjiang, China.
Mudanjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study explored the structural imaging changes in patients with subcortical ischemic vascular disease (SIVD)-vascular cognitive impairment no dementia (VCIND) and the correlation between the changes in gray matter volume and the field of cognitive impairment to provide new targets for early diagnosis and treatment. Methods: Our study included 15 patients with SIVD-normal cognitive impairment (SIVD-NCI), 63 with SIVD-VCIND, 26 with SIVD-vascular dementia (SIVD-VD), and 14 normal controls (NC). T1-weighted images of all participants were collected, and DPABI and SPM12 software were used to process the gray matter of the four groups based on voxels. Fisher's exact test, one-way ANOVA and Kruskal-Wallis H test were used to evaluate all clinical and demographic data and compare the characteristics of diencephalic gray matter atrophy in each group. Finally, the region of interest (ROI) of the SIVD-VCIND was extracted, and Pearson correlation analysis was performed between the ROI and the results of the neuropsychological scale. Results: Compared to the NC, changes in gray matter atrophy were observed in the bilateral orbitofrontal gyrus, right middle temporal gyrus, superior temporal gyrus, and precuneus in the SIVD-VCIND. Gray matter atrophy was observed in the left cerebellar region 6, cerebellar crural region 1, bilateral thalamus, right precuneus, and calcarine in the SIVD-VD. Compared with the SIVD-VCIND, gray matter atrophy changes were observed in the bilateral thalamus in the SIVD-VD ( Conclusion: Structural magnetic resonance imaging can detect extensive and subtle structural changes in the gray matter of patients with SIVD-VCIND and SIVD-VD, providing valuable evidences to explain the pathogenesis of subcortical vascular cognitive impairment and contributing to the early diagnosis of SIVD-VCIND and early warning of SIVD-VD.

Indexed as

dementiagray matter atrophyneurodegenerationstructural magnetic resonance imagingsubcortical ischemic cerebrovascular diseasevascular cognitive impairment no dementia

Identifiers

PMID36815175
PMCPMC9939744
OpenAlexW4319321538

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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 OpenQuestion graph.