Evidence map›Paper›PMID 42064758›Full record

ArticleFrontiers in endocrinology2026

Application of multimodal ultrasound in the biomechanical evaluation of carotid intima-media thickness in type 2 diabetes mellitus: a focus on subclinical vascular changes.

Xuhong Nan, Linmei Tang, Xue Fang, Xinlei Yang, Yu Kang

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. 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

5 authors.

Xuhong NanSchool of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Linmei TangDepartment of Ultrasound Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xue FangDepartment of Ultrasound Medicine, The First People's Hospital of Longquanyi District, Chengdu, China.
Xinlei YangSchool of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yu KangDepartment of Ultrasound Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess multimodal ultrasound technology in the biomechanical assessment of carotid intima-media thickness (cIMT) in patients with type 2 diabetes mellitus (T2DM), specifically focusing on those with increased cIMT but without atherosclerotic plaques or significant stenosis. Methods: In this exploratory cross-sectional study, 65 T2DM patients (thickened vs. normal cIMT) and 27 controls were examined using color Doppler ultrasound flow imaging (CDFI), ultrasound vector flow imaging (V-Flow), and ultra-fast pulse wave velocity (UF-PWV). Measurements included peak systolic velocity (PSV), end-diastolic velocity (EDV), pulsatility index (PI), resistance index (RI), wall shear stress (WSS), pulse wave velocity at the beginning of systole (PWV-BS), and pulse wave velocity at the end of systole (PWV-ES). Differences across groups and independent factors associated with cIMT were analyzed via correlation and multivariable linear regression. Results: The T2DM group exhibited higher HbA1c levels than the control group ( Conclusion: Preliminary findings suggest V-Flow and UF-PWV imaging may detect biomechanical alterations in T2DM patients. While these techniques may offer insights into subclinical vascular remodeling prior to plaque formation, this cross-sectional study should be cautiously interpreted as hypothesis-generating.

Indexed as

Carotid Intima-Media ThicknessDiabetes Mellitus, Type 2AgedBiomechanical PhenomenaCross-Sectional StudiesFemaleHumansMaleMiddle AgedMultimodal ImagingPulse Wave AnalysisUltrasonography, Doppler, Colorcarotid intima-media thicknesshemodynamicspulse wave velocitytype 2 diabetes mellituswall shear stress

Identifiers

PMID42064758
PMCPMC13124614

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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.