ReviewBiomedicines2024
Role of Circulating Biomarkers in Diabetic Cardiomyopathy.
Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Article
- Phytochemical Fingerprints by GC-MS, Antidiabetic and Multiorgan Protective Effects of Cucumis sativus Peel: An Integrated In Vitro, In Vivo, and In Silico Study.Chemistry & biodiversity · 2026Article
- Advanced glycation end products and RAGE signaling in diabetic cardiomyopathy: distinct mechanisms, human evidence, and translational barriers.Frontiers in cardiovascular medicine · 2026Review
- Diabetic cardiomyopathy: a comprehensive review of diagnosis, management, and future directions.Diabetology & metabolic syndrome · 2025Review
- The Diagnostic Role of Novel Echocardiography Indices and Arterial Stiffness in Diabetic Cardiomyopathy.Biomedicines · 2025Article
- Age-Related Characteristics of Diastolic Dysfunction in Type 2 Diabetes Patients.Journal of clinical medicine · 2025Article
- The regulatory role of exercise in heart failure and myocardial energy metabolism: A review.Biomolecules & biomedicine · 2025Review
- Galectin-3 in Cardiovascular Health: A Narrative Review Based on Life's Essential 8 and Life's Simple 7 Frameworks.Current issues in molecular biology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic disorder that has alarmingly increased in incidence in recent decades. One of the most serious complications of T2DM is diabetic cardiomyopathy (DCM), an often underrecognized yet severe condition that is a leading cause of mortality among diabetic patients. In the early stages of DCM, patients typically show no symptoms and maintain normal systolic and diastolic left ventricle function, making early detection challenging. Currently available clinical markers are often not specific enough to detect the early stage of DCM. Conventional biomarkers of cardiac mechanical stress and injury, such as natriuretic peptides (NPs) and cardiac troponin I (cTnI), have shown limited predictive value for patients with T2DM. NPs have proven efficacy in detecting diastolic dysfunction in diabetic patients when used alongside 2D echocardiography, but their utility as biomarkers is limited to symptomatic individuals. While cTnI is a reliable indicator of general cardiac damage, it is not specific to cardiac injury caused by high glucose levels or T2DM. This underscores the need for research into biomarkers that can enable early diagnosis and management of DCM to reduce mortality rates. Promising novel biomarkers that showed good performance in detecting diastolic dysfunction or heart failure in diabetic patients include galectin-3, ST2, FGF-21, IGFBP-7, GDF-15, and TGF-β. This review summarizes the current understanding of DCM biomarkers, aiming to generate new ideas for the early recognition and treatment of DCM by exploring related pathophysiological mechanisms.
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Registered trials
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.