ArticlePeerJ2023
Effect of the index of cardiac electrophysiological balance on major adverse cardiovascular events in patients with diabetes complicated with coronary heart disease.
Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study.BMC medical informatics and decision making · 2026Article
- Electrophysiological Response in Hypertensive Crisis: An Evaluation of the ICEB Score.Medicina (Kaunas, Lithuania) · 2026Article
- The Relationship Between the Index of Cardio-Electrophysiological Balance and the Non-Dipper Hypertensive Pattern in Patients With Newly Diagnosed Hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Predictive value of Index of Cardiac Electrophysiological Balance (ICEB) for ischemia-reperfusion injury following coronary artery angioplasty.American journal of translational research · 2026Article
- The Diagnostic Value of Plasma NETs Levels and iCEB in Silent Myocardial Ischemia in Maintenance Hemodialysis Patients.Journal of inflammation research · 2025Article
- Transient ischemic attack and acute ischemic stroke: evidence of altered corrected index of cardiac electrophysiological balance.Frontiers in neurology · 2025Article
- Using the Cardiac-Electrophysiological Balance Index to Predict Arrhythmia Risk After Colonoscopy.Medicina (Kaunas, Lithuania) · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To investigate the prognostic value of the index of cardio-electrophysiological balance (ICEB) and its association with major adverse cardiac events (MACE) and cardiovascular death in diabetic patients complicated with coronary heart disease. Methods: A total of 920 diabetic patients were enrolled in this longitudinal study. Participants were categorized into three groups based on their ICEB levels: normal ICEB, low ICEB, and high ICEB. The primary outcome was the occurrence of MACE, and secondary outcomes included cardiovascular death, coronary heart disease (CHD), heart failure (HF), and sudden cardiac arrest (SCA). Patients were followed for a median period of 3.26 years, and the associations between ICEB levels and various outcomes were evaluated. Results: Over the follow-up period, 46 (5.0%) MACE were observed in the normal ICEB group, 57 (6.2%) in the low ICEB group, and 62 (6.8%) in the high ICEB group. Elevated ICEB levels were found to be associated with a higher risk of MACE and cardiovascular death. A significant relationship between ICEB levels and the risk of MACE was observed for both genders. The risk of MACE increased with each unit increment in the ICEB index. However, the two-stage linear regression model did not outperform the single-line linear regression models in determining the threshold effect. Conclusion: This study demonstrates the potential utility of ICEB, derived from a standard non-invasive ECG, as a prognostic tool for predicting MACE and cardiovascular death in diabetic patients complicated with CVD. The associations between ICEB levels and the risk of MACE highlight the importance of understanding cardiac electrophysiological imbalances and their implications in CVD.
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Registered trials
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