Evidence mapPaperPMID 39893360Full record

SynthesisBMC cardiovascular disorders2025

Extracellular volume fraction and native T1 mapping in diabetic cardiomyopathy: a comprehensive meta-analysis.

Ahmed Marey, Ali Alabdullah, Hossam Ghorab, Fatima Ali, Jawdat Abdulla, Akhil Narang, Muhammad Umair

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Article
  5. Review
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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

7 authors.

Ahmed MareyAlexandria University Faculty of Medicine, Champollion street،, Al Mesallah Sharq, Al Attarin, Alexandria Governorate, Alexandria, 5372066, Egypt. ahmed.ahmed1797@alexmed.edu.eg.
Ali AlabdullahDepartment of Surgery, Cleveland Clinic Abu Dhabi, Abu Dhabi, United Arab Emirates.
Hossam GhorabAlexandria University Faculty of Medicine, Champollion street،, Al Mesallah Sharq, Al Attarin, Alexandria Governorate, Alexandria, 5372066, Egypt.
Fatima AliCMH Lahore Medical College, Lahore, Pakistan.
Jawdat AbdullaDepartment of Cardiology, Amager and Hvidovre Hospital, Hvidovre, Denmark.
Akhil NarangDepartment of Cardiology, Northwestern University, Evanston, IL, USA.
Muhammad UmairRussell H. Morgan Department of Radiology and Radiological Sciences, The Johns Hopkins Hospital, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is associated with myocardial fibrosis (MF), a major contributor to adverse cardiovascular outcomes. Cardiovascular magnetic resonance (CMR), specifically extracellular volume fraction (ECV) and native T1 mapping, offers a non-invasive approach to quantify MF. This study aims to evaluate the utility of ECV and native T1 mapping as biomarkers for cardiac fibrosis and to assess their relationship with diabetes severity, measured by hemoglobin A1C (HbA1C), in patients with T2DM.

methodsA systematic review and meta-analysis were conducted following PRISMA guidelines. Comprehensive searches identified 19 eligible studies comprising 4,117 participants. Weighted mean differences (WMDs) were calculated for ECV and native T1 values between diabetic and non-diabetic groups. Meta-regression assessed the correlation between ECV and HbA1C. Sensitivity and subgroup analyses were performed to explore heterogeneity.

resultsDiabetic patients exhibited significantly higher ECV values than controls (WMD: 2.17; 95% CI: 1.32-3.02), consistent across subgroups excluding cardiac comorbidities (WMD: 2.02; 95% CI: 0.74-3.31). HbA1C levels were also significantly elevated in diabetics (WMD: 1.78; 95% CI: 1.37-2.19). However, no significant difference in native T1 values was observed (WMD: 13.40; 95% CI: -13.98-40.79). Meta-regression revealed no significant correlation between ECV and HbA1C, potentially due to limited data and high heterogeneity (I²: 93.37%).

conclusionsECV is a promising marker for quantifying MF in T2DM, demonstrating significant differences between diabetics and controls. The lack of correlation between ECV and HbA1C underscores the complexity of MF in diabetes and highlights the need for further research. Future studies with standardized protocols are essential to validate these findings and refine the use of CMR in diabetic cardiomyopathy.

Indexed as

Diabetes Mellitus, Type 2Diabetic CardiomyopathiesMagnetic Resonance ImagingMyocardiumAgedBiomarkersFemaleFibrosisGlycated HemoglobinHumansMaleMiddle AgedPredictive Value of TestsSeverity of Illness IndexBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanCardiovascular magnetic resonanceDiabetesDiabetic cardiomyopathyExtracellular volume fractionMyocardial fibrosisT1 mapping

Identifiers

PMID39893360
PMCPMC11786336

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.