Evidence map›Paper›PMID 40438392›Full record

ArticleFrontiers in endocrinology2025

Cerebral blood flow based on 3D-ASL technology in the early detection of mild cognitive impairment in type 2 diabetic patients: a pilot study.

Tingzhou Hou, Yijie Wang, Hanwen Xu, Zhenyu Shu, Xiaodong He, Xiaohong Wu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Tingzhou Hou *The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yijie Wang *Geriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of Endocrinology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
Hanwen XuGeriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of Endocrinology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
Zhenyu ShuDepartment of Radiology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
Xiaodong HeDepartment of Radiology, Center for Rehabilitation Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.
Xiaohong WuGeriatric Medicine Center, Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Department of Endocrinology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Type 2 diabetes mellitus (T2DM) significantly increases the risk of mild cognitive impairment (MCI), and earlier recognition is crucial for timely intervention and improving patients' quality of life. Objective: The aim of this study was to characterize changes in cerebral white matter hyperintensities (WMH) and cerebral blood flow (CBF) based on 3D-arterial spin labeling (3D-ASL) measurements in T2DM with MCI, and to assess their potential as markers for early prediction of MCI. Methods: This study included 30 T2DM patients stratified into T2DM-MCI and T2DM-nMCI groups using MMSE/MoCA. MRI assessed cerebral WMH volume (T2-FLAIR) and regional CBF (3D-ASL) in temporal, parietal, occipital, and hippocampal areas. Group differences in WMH/CBF were analyzed, ROC evaluated CBF's diagnostic efficacy for MCI, and CBF-cognition correlations were assessed via Spearman's analysis. Results: Cranial MRI analysis shows that there were no significant differences between the two groups in terms of total cerebral WMH volume and regional volume (P>0.05). CBF in the temporal, parietal, occipital, and hippocampal regions was significantly lower in the T2DM-MCI group than in the T2DM-nMCI group (P<0.05). ROC analysis revealed that CBF in the hippocampus had the highest diagnostic efficacy (AUC = 0.813, optimal cutoff value of 41.165 ml/(100 g·min), sensitivity 73.3%, specificity 80.0%). Spearman's correlation analysis showed that CBF in the temporal, parietal, occipital, and hippocampal regions was significantly and positively correlated with MoCA scores (P < 0.05), with temporal and parietal CBF also significantly and positively correlated with MMSE scores (P < 0.05). Conclusions: CBF, based on 3D-ASL measurements, especially in the hippocampus, is a promising functional marker for identifying MCI in patients with T2DM.

Indexed as

Cerebrovascular CirculationCognitive DysfunctionDiabetes Mellitus, Type 2AgedEarly DiagnosisFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedPilot ProjectsSpin LabelsSpin Labelsarterial spin labelingcerebral blood flowmild cognitive impairmenttype 2 diabetes mellituswhite matter hyperintensities

Identifiers

PMID40438392
PMCPMC12116335

What Socratic holds

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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 Socratic graph.