Evidence map›Paper›PMID 33613263›Full record

ArticleFrontiers in aging neuroscience2020

Alterations of Brain Structural Network Connectivity in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment.

Chang Li, Jingna Zhang, Mingguo Qiu, Kaijun Liu, Yang Li, Zhiwei Zuo, Xuntao Yin, Yuqi Lai, Jingqin Fang, Haipeng Tong and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

14 authors at 5 institutions in 1 country.

Chang LiDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Jingna ZhangDepartment of Medical Imaging, College of Biomedical Engineering, Army Medical University, Chongqing, China.
Mingguo QiuDepartment of Medical Imaging, College of Biomedical Engineering, Army Medical University, Chongqing, China.
Kaijun LiuDepartment of Gastroenterology, Daping Hospital, Army Medical University, Chongqing, China.
Yang LiDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Zhiwei ZuoDepartment of Radiology, General Hospital of Western Theater Command, Chengdu, China.
Xuntao YinDepartment of Medical Imaging, Guizhou Provincial People's Hospital, Guiyang, China.
Yuqi LaiSchool of Foreign Languages and Cultures, Chongqing University, Chongqing, China.
Jingqin FangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Haipeng TongDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Yu GuoDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Jian WangDepartment of Radiology, Southwest Hospital, Army Medical University, Chongqing, China.
Xiao ChenChongqing Clinical Research Center for Imaging and Nuclear Medicine, Chongqing, China.
Kunlin XiongDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Army Medical University · CNDaping Hospital · CNSouthwest Hospital · CNChongqing University · CNGuizhou Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with type 2 diabetes mellitus (T2DM) are highly susceptible to developing dementia, especially for those with mild cognitive impairment (MCI), but its underlying cause is still unclear. This study aims to investigate the early detection of white matter structural network changes in T2DM patients with MCI and assess the relationship between cognitive impairment and structural network alterations in T2DM patients. In this study, we performed a battery of neuropsychological tests and diffusion tensor MRI in 30 T2MD-MCI patients, 30 T2DM patients with normal cognition (T2DM-NC) and 30 age-, sex-, and education-matched healthy control (HC) individuals. Cognitive performance exhibited obvious differences among the three groups. The structural network was significantly disrupted in both global and regional levels in T2DM patients. The T2DM-MCI group showed more severe impairment of global network efficiency, and lower nodal efficiency and fewer connections within multiple regions like the limbic system, basal ganglia, and several cortical structures. Moreover, a subnetwork impaired in T2DM-MCI patients was characterized by cortical-limbic fibers, and commissural fibers and pathways within the frontal, temporal, and occipital lobes. These altered global and nodal parameters were significantly correlated with cognitive function in T2DM-MCI patients. In particular, executive dysfunction and working memory impairment in T2DM-MCI patients correlated with nodal efficiency in the right opercular part and triangular part of the inferior frontal gyrus, which indicated that white matter disruption in these regions may act as potential biomarkers for T2DM-associated MCI detection. Our investigation provides a novel insight into the neuropathological effects of white matter network disruption on cognition impairments induced by T2DM.

Indexed as

diffusion tensor imagingmild cognitive impairmentnetwork-based statisticstype 2 diabetes mellituswhite matter network

Identifiers

PMID33613263
PMCPMC7891182
OpenAlexW3144118704

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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.