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Cited by 1,315

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Hypercoagulability of COVID‐19 patients in intensive care unit: A report of thromboelastography findings and other parameters of hemostasis

Open access
Panigada, Mauro, Bottino, Nicola, Tagliabue, Paola, Grasselli, Giacomo, Novembrino, Cristina, Chantarangkul, Veena, Pesenti, Antonio, Peyvandi, Flora, Tripodi, Armando·2020·Journal of Thrombosis and Haemostasis

Abstract

The severe inflammatory state secondary to COVID‐19 leads to a severe derangement of hemostasis that has been recently described as a state of disseminated intravascular coagulation (DIC) and consumption coagulopathy, defined as decreased platelet count, increased fibrin(ogen) degradation products such as D‐dimer, as well as low fibrinogen.

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Registry

Crossref · 10.1111/jth.14850

Cites

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Metadata

Authors
Panigada, M., Bottino, N., Tagliabue, P., Grasselli, G., Novembrino, C., Chantarangkul, V., Pesenti, A., Peyvandi, F., & Tripodi, A.
Venue
Journal of Thrombosis and Haemostasis
Publisher
Elsevier BV
Published
2020-07
Volume
18
Issue
7
Pages
1738-1742
ISSN
1538-7836 (ISSN-L)
OpenAlex
W3016965546
Cited by
1,315
References
15
FWCI
36.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Hypercoagulability of COVID‐19 patients in intensive care unit: A report of thromboelastography findings and other parameters of hemostasis. https://app.cochat.ai/papers/10.1111/jth.14850
The paper
Panigada, M., Bottino, N., Tagliabue, P., Grasselli, G., Novembrino, C., Chantarangkul, V., Pesenti, A., Peyvandi, F., & Tripodi, A. (2020). Hypercoagulability of COVID‐19 patients in intensive care unit: A report of thromboelastography findings and other parameters of hemostasis. Journal of Thrombosis and Haemostasis. https://doi.org/10.1111/jth.14850

Data sources

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.