Evidence map›Paper›PMID 35814027›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Cerebral Small Vessel Disease is Associated with Mild Cognitive Impairment in Type 2 Diabetes Mellitus.

Zhenjie Teng, Jing Feng, Ronghui Liu, Yanhong Dong, Huifang Chen, Jing Xu, Xin Jiang, Rui Li, Peiyuan Lv

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.0field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  15. Why Are Perivascular Spaces Important?Medicina (Kaunas, Lithuania) · 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

9 authors at 2 institutions in 1 country.

Zhenjie TengDepartment of Neurology, Hebei Medical University, Shijiazhuang, Hebei Province, People's Republic of China.
Jing FengDepartment of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei Province, People's Republic of China.
Ronghui LiuDepartment of Radiology, Hebei General Hospital, Shijiazhuang, Hebei Province, People's Republic of China.
Yanhong DongDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei Province, People's Republic of China.
Huifang ChenDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei Province, People's Republic of China.
Jing XuDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei Province, People's Republic of China.
Xin JiangDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei Province, People's Republic of China.
Rui LiDepartment of Neurology, Hebei General Hospital, Shijiazhuang, Hebei Province, People's Republic of China.
Peiyuan LvDepartment of Neurology, Hebei Medical University, Shijiazhuang, Hebei Province, People's Republic of China.
Hebei General Hospital · CNHebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment, but the underlying cerebral small vessel disease (CSVD)-related structural brain correlates are unclear. The aim of this study was to investigate the relationship between various imaging markers of CSVD and mild cognitive impairment (MCI) in patients with T2DM. Methods: A total of 228 eligible participants with T2DM who were divided into MCI group and normal cognitive group based on neuropsychological assessment were enrolled in this retrospective study. White matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces (EPVS) were evaluated based on brain magnetic resonance imaging (MRI). The total CSVD burden score was calculated by combining the above four markers of CSVD. Binary logistic regression analysis was used to evaluate the relationship between different imaging markers of CSVD and MCI in patients with T2DM. Kruskal-Wallis test and Jonckheere-Terpstra test were used to compare mean MoCA scores among individuals with varying CSVD markers. Results: In the multivariate binary logistic regression analyses, moderate or severe total CSVD burden (OR: 3.29, 95% CI: 1.63-7.38, Conclusion: Different imaging markers of CSVD, particularly total CSVD burden, were associated with an increased risk of MCI and decline in MoCA scores in patients with T2DM. These findings may provide clues for future studies to explore early diagnostic imaging markers of cognitive impairment in relation to T2DM.

Indexed as

cerebral small vessel diseasemild cognitive impairmenttype 2 diabetes mellitus

Identifiers

PMID35814027
PMCPMC9259063
OpenAlexW4283773644

What OpenQuestion holds

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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.