Evidence map›Paper›PMID 33536867›Full record

ArticleFrontiers in neuroscience2020

White Matter Atrophy in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment.

Chang Li, Rongbing Jin, Kaijun Liu, Yang Li, Zhiwei Zuo, Haipeng Tong, Jingna Zhang, Junfeng Zhang, Yu Guo, Yuqi Lai and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.2field-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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  13. Significant Acceleration of Regional Brain Aging and Atrophy After Mild Traumatic Brain Injury.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
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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.
Rongbing JinDepartment of Nuclear Medicine, Daping Hospital, 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.
Haipeng TongDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Jingna ZhangDepartment of Medical Imaging, College of Biomedical Engineering, Army Medical University, Chongqing, China.
Junfeng ZhangDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Yu GuoDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Yuqi LaiSchool of Foreign Languages and Cultures, Chongqing University, Chongqing, China.
Jinju SunDepartment of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Jian WangDepartment of Radiology, Southwest Hospital, Army Medical University, Chongqing, China.
Kunlin XiongDepartment of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
Xiao ChenDepartment of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Army Medical University · CNDaping Hospital · CNChongqing Emergency Medical Center · CNChongqing University · CNSouthwest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) patients are highly susceptible to developing dementia, especially for those with mild cognitive impairment (MCI), but its underlying cause is still unclear. In this study, we performed a battery of neuropsychological tests and high-resolution sagittal T1-weighted structural imaging to explore how T2DM affects white matter volume (WMV) and cognition in 30 T2DM-MCI patients, 30 T2DM with normal cognition (T2DM-NC) patients, and 30 age-, sex-, and education-matched healthy control (HC) individuals. The WMV of the whole brain was obtained with automated segmentation methods. Correlations between the WMV of each brain region and neuropsychological tests were analyzed in the T2DM patients. The T2DM-NC patients and HC individuals did not reveal any significant differences in WMV. Compared with the T2DM-NC group, the T2DM-MCI group showed statistically significant reduction in the WMV of seven brain regions, mainly located in the frontotemporal lobe and limbic system, five of which significantly correlated with Montreal Cognitive Assessment (MoCA) scores. Subsequently, we evaluated the discriminative ability of these five regions for MCI in T2DM patients. The WMV of four regions, including left posterior cingulate, precuneus, insula, and right rostral middle frontal gyrus had high diagnostic value for MCI detection in T2DM patients (AUC > 0.7). Among these four regions, left precuneus WMV presented the best diagnostic value (AUC: 0.736; sensitivity: 70.00%; specificity: 73.33%; Youden index: 0.4333), but with no significant difference relative to the minimum AUC. In conclusion, T2DM could give rise to the white matter atrophy of several brain regions. Each WMV of left posterior cingulate, precuneus, insula, and right rostral middle frontal gyrus could be an independent imaging biomarker to detect cognitive impairment at the early stage in T2DM patients and play an important role in its pathophysiological mechanism.

Indexed as

biomarkermagnetic resonance imagingmild cognitive impairmenttype 2 diabetes mellituswhite matter volume

Identifiers

PMID33536867
PMCPMC7848149
OpenAlexW3144192773

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.