ArticleBMC cardiovascular disorders2017
Models for improved diagnosis of left ventricular hypertrophy based on conventional electrocardiographic criteria.
Article in BMC cardiovascular disorders, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Peguero-Lo Presti criteria for the diagnosis of left ventricular hypertrophy: A systematic review and meta-analysis.PloS one · 2021Pooled it
- Electrocardiography Diagnostic Performance for Left Ventricular Hypertrophy During Arterial Hypertension on African Cardiac Center.Health science reports · 2026Article
- Review
- Optimizing ECG to detect echocardiographic left ventricular hypertrophy with computer-based ECG data and machine learning.PloS one · 2021Article
- Heat map visualization for electrocardiogram data analysis.BMC cardiovascular disorders · 2020Article
- Improvement of electrocardiographic diagnostic accuracy of left ventricular hypertrophy using a Machine Learning approach.PloS one · 2020Article
- Electrocardiographic criteria for left ventricular hypertrophy in aortic valve stenosis: Correlation with echocardiographic parameters.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2019Article
- Electrocardiographic left ventricular hypertrophy is not associated with increased in-hospital adverse events in patients with first Non-ST segment elevation myocardial infarction: A single center study.Caspian journal of internal medicine · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectrocardiogram (ECG) is commonly used clinically due to convenience, but its accuracy is insufficient for left ventricular hypertrophy (LVH) diagnosis. In this study, we attempted to improve diagnostic accuracy of LVH by establishing models with ECG parameters.
methodsEighty hundred and twenty eight patients were recruited in the present study which were divided into groups according to gender, age and body mass index (BMI). The sensitivity, specificity, Youden index, positive predictive value, negative predictive value and accuracy were calculated using ultrasonic cardiogram criteria of LVH as the gold standard. Area under the curve was also calculated to assess the diagnostic accuracy of 22 conventional ECG criteria in different groups. Stepwise discriminant analyses were performed to establish models of ECG for LVH.
resultsThe diagnostic accuracy of ECG11 (S V
conclusionTwo models developed based on gender can be considered for use to investigate the preliminary assessment of the probability of LVH.
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