ArticleGlobal heart2023
Identifying Obstructive Hypertrophic Cardiomyopathy from Nonobstructive Hypertrophic Cardiomyopathy: Development and Validation of a Model Based on Electrocardiogram Features.
Article in Global heart, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Impact of Sociodemographic Characteristics on Outcomes in Obstructive Hypertrophic Cardiomyopathy.Journal of the American Heart Association · 2026Article
- An Open-Source Analysis of Cardiomyopathy Using Machine Learning and Electrocardiograms.Diagnostics (Basel, Switzerland) · 2026Article
- Longitudinal analyses of healthcare resource utilization and costs among patients with obstructive hypertrophic cardiomyopathy.Journal of medical economics · 2025Article
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Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The clinical presentation and prognosis of hypertrophic cardiomyopathy (HCM) are heterogeneous between nonobstructive HCM (HNCM) and obstructive HCM (HOCM). Electrocardiography (ECG) has been used as a screening tool for HCM. However, it is still unclear whether the features presented on ECG could be used for the initial classification of HOCM and HNCM. Objective: We aimed to develop a pragmatic model based on common 12-lead ECG features for the initial identification of HOCM/HNCM. Methods: Between April 1 Results: Of all 30 acquired ECG parameters, 10 variables were significantly different between HOCM and HNCM (all Conclusion: The pragmatic model constructed by the P wave interval and SV1 had a clearly useful ability to discriminate HOCM from HNCM. The model might potentially serve as an initial classification of HCM before referring patients to dedicated centers and specialists. Highlights:
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