Evidence map›Paper›PMID 41345656›Full record

ReviewCardiovascular diabetology2025

Cardiac MRI in diabetic cardiomyopathy: translating imaging biomarkers into clinical practice.

Shan Huang, Xueming Li, Lu Zhang, Ran Sun, Hanrui Liu, Xinyuan Zhang, Ke Shi, Li Jiang, Hildo J Lamb, Zhigang Yang and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cardiovascular diabetology, 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

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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Shan Huang *Department of Radiology, Medical Imaging Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Xueming Li *Department of Radiology, Medical Imaging Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Lu ZhangDepartment of Radiology, Medical Imaging Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Ran SunDepartment of Radiology, Medical Imaging Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Hanrui LiuDepartment of Radiology, Medical Imaging Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Xinyuan ZhangDepartment of Radiology, Medical Imaging Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Ke ShiDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Li JiangDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Hildo J LambDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Zhigang YangDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Xiang, Chengdu, 610041, Sichuan, China. yangzg666@163.com.
Yingkun GuoDepartment of Radiology, Medical Imaging Center, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China. gykpanda@163.com.

Funding

China Postdoctoral Science Foundation 2023M732453National Natural Science Foundation of China 82402251Sichuan Provincial Science and Technology Support Program 2023NSFSC1715Sichuan Provincial Science and Technology Support Program 2024YFFK0259
6 · The paper itself

Abstract

Diabetic cardiomyopathy (DbCM) is a progressive cardiac disorder characterized by left ventricular dysfunction in the presence of diabetes mellitus. With the rising global prevalence of diabetes, early detection and intervention are crucial to prevent transition to overt heart failure. Cardiac magnetic resonance (CMR) has emerged as a powerful non-invasive imaging modality, providing comprehensive insights into myocardial structure, function, and tissue characteristics. This review highlights the role of multiparametric CMR, including T1 mapping, late gadolinium enhancement, strain analysis, perfusion imaging, and spectroscopy, in identifying key pathological features of DbCM such as diffuse fibrosis, microvascular dysfunction, steatosis, and subclinical systolic/diastolic impairment. Furthermore, we discuss how these imaging biomarkers can stratify risk, monitor disease progression, and evaluate treatment efficacy, particularly in the context of comorbidities and emerging therapies such as sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists. Future directions include the integration of artificial intelligence for automated analysis and the development of molecular imaging probes for targeted detection of early disease pathways. CMR holds significant promise for translating advanced imaging biomarkers into clinical practice, enabling personalized management of DbCM.

Indexed as

Diabetic CardiomyopathiesMagnetic Resonance ImagingMyocardiumVentricular Function, LeftAnimalsBiomarkersEarly DiagnosisFibrosisHumansPredictive Value of TestsPrognosisBiomarkersCardiac magnetic resonance imagingDiabetes mellitusDiabetic cardiomyopathyMyocardial dysfunctionMyocardial tissue characteristics

Identifiers

PMID41345656
PMCPMC12781312

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.