Evidence map›Paper›PMID 35547625›Full record

ArticleFrontiers in aging neuroscience2022

Correlation Between Brain Structure Atrophy and Plasma Amyloid-β and Phosphorylated Tau in Patients With Alzheimer's Disease and Amnestic Mild Cognitive Impairment Explored by Surface-Based Morphometry.

Kaidi Li, Hang Qu, Mingyi Ma, Chenyu Xia, Ming Cai, Fang Han, Qing Zhang, Xinyi Gu, Qiang Ma

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 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 4 institutions in 2 countries.

Kaidi LiDepartment of Neurology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Hang QuDepartment of Imaging, Yangzhou First People's Hospital, Affiliated Hospital of Yangzhou University, Yangzhou, China.
Mingyi MaDepartment of Molecular and Cellular Biology, University of Illinois Urbana-Champaign, Urbana, IL, United States.
Chenyu XiaDepartment of Neurology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Ming CaiDepartment of Neurology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Fang HanDepartment of Imaging, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Qing ZhangDepartment of Imaging, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Xinyi GuDepartment of Neurology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Qiang MaDepartment of Neurology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Affiliated Zhongshan Hospital of Dalian University · CNInner Mongolia Medical University · CNUniversity of Illinois Urbana-Champaign · USYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the changes in the cortical thickness of the region of interest (ROI) and plasma Aβ40, Aβ42, and phosphorylated Tau (P-Tau) concentrations in patients with Alzheimer's disease (AD) and amnestic mild cognitive impairment (aMCI) as the disease progressed with surface-based morphometry (SBM), to analyze the correlation between ROI cortical thickness and measured plasma indexes and neuropsychological scales, and to explore the clinical value of ROI cortical thickness combined with plasma Aβ40, Aβ42, and P-Tau in the early recognition and diagnosis of AD. Methods: This study enrolled 33 patients with AD, 48 patients with aMCI, and 33 healthy controls (normal control, NC). Concentration changes in plasma Aβ42, Aβ40, and P-Tau collected in each group were analyzed. Meanwhile, the whole brain T1 structure images (T1WI-3D-MPRAGE) of each group of patients were collected, and T1 image in AD-aMCI, AD-NC, and aMCI-NC group were analyzed and processed by SBM technology to obtain brain regions with statistical differences as clusters, and the cortical thickness of each cluster was extracted. Multivariate ordered logistic regression analysis was used to screen out the measured plasma indexes and the indexes with independent risk factors in the cortical thickness of each cluster. Three comparative receiver operating characteristic (ROC) curves of AD-aMCI, AD-NC, and aMCI-NC groups were plotted, respectively, to explore the diagnostic value of multi-factor combined prediction for cognitive impairment. The relationship between cortical thickness and plasma indexes, and between cortical thickness and Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) scores were clarified by Pearson correlation analysis. Results: Plasma Aβ40, Aβ42, and P-Tau proteins in the NC, aMCI, and AD groups increased with the progression of AD ( Conclusion: Plasma Aβ40, Aβ42, and P-Tau may be potential biomarkers for early prediction of AD. As the disease progressed, AD patients developed cortical atrophy characterized by atrophy of the medial temporal lobe. The combined prediction of these region and plasma Aβ40, Aβ42, and P-Tau had a higher diagnostic value than single-factor prediction for cognitive decline.

Indexed as

Alzheimer’s diseaseamnestic mild cognitive impairmentplasma Aβplasma Tausurface-based morphometry

Identifiers

PMID35547625
PMCPMC9083065
OpenAlexW4224433873

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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.