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Cited by 327

The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.

Iron Overload Cardiomyopathy

Open access
Gujja, Pradeep, Rosing, Douglas R., Tripodi, Dorothy J., Shizukuda, Yukitaka·2010·Journal of the American College of Cardiology

Abstract

The prevalence of Iron Overload Cardiomyopathy (IOC) is increasing. The spectrum of symptoms of IOC is varied. Early in the disease process, patients may be asymptomatic while severely overloaded patients can have terminal heart failure complaints that are refractory to treatment. It has been shown that early recognition and intervention may alter outcomes. Biochemical markers and tissue biopsy, that have traditionally been used to diagnose and guide therapy, are not sensitive enough to detect early cardiac iron deposition. Newer diagnostic modalities such as MRI are noninvasive and can assess quantitative cardiac iron load. Phlebotomy and chelating drugs are suboptimal means of treating IOC; hence the roles of gene therapy, hepcidin, and CCBs are being actively investigated. There is a need for the development of clinical guidelines in order to improve the management of this emerging complex disease.

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Crossref · 10.1016/j.jacc.2010.03.083

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Metadata

Authors
Gujja, P., Rosing, D. R., Tripodi, D. J., & Shizukuda, Y.
Venue
Journal of the American College of Cardiology
Publisher
Elsevier BV
Published
2010-09
Volume
56
Issue
13
Pages
1001-1012
ISSN
0735-1097 (ISSN-L)
OpenAlex
W8599571
Cited by
327
References
115
FWCI
7.18
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Iron Overload Cardiomyopathy. https://app.cochat.ai/papers/10.1016/j.jacc.2010.03.083
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Gujja, P., Rosing, D. R., Tripodi, D. J., & Shizukuda, Y. (2010). Iron Overload Cardiomyopathy. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2010.03.083

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.