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Cited by 490

The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Cardiac fibrosis – A short review of causes and therapeutic strategies

Open access
Hinderer, Svenja, Schenke-Layland, Katja·2019·Advanced Drug Delivery Reviews

Abstract

Fibrotic diseases cause annually more than 800,000 deaths worldwide, whereof the majority accounts for lung and cardiac fibrosis. A pathological remodeling of the extracellular matrix either due to ageing or as a result of an injury or disease leads to fibrotic scars. In the heart, these scars cause several cardiac dysfunctions either by reducing the ejection fraction due to a stiffened myocardial matrix, or by impairing electric conductance, or they can even lead to death. Today it is known that there are several different types of cardiac scars depending on the underlying cause of fibrosis. In this review, we present an overview of what is known about cardiac fibrosis including the role of cardiac cells and extracellular matrix in this disease. We will further summarize current diagnostic tools and highlight pre-clinical or clinical therapeutic strategies to address cardiac fibrosis.

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Metadata

Authors
Hinderer, S., & Schenke-Layland, K.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2019-06
Volume
146
Pages
77-82
ISSN
0169-409X (ISSN-L)
OpenAlex
W2946971162
Cited by
490
References
62
FWCI
13.05
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Cardiac fibrosis – A short review of causes and therapeutic strategies. https://app.cochat.ai/papers/10.1016/j.addr.2019.05.011
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Hinderer, S., & Schenke-Layland, K. (2019). Cardiac fibrosis – A short review of causes and therapeutic strategies. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2019.05.011

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.