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Cited by 271

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Impact of low dose tocilizumab on mortality rate in patients with COVID-19 related pneumonia

Open access
Capra, Ruggero, De Rossi, Nicola, Mattioli, Flavia, Romanelli, Giuseppe, Scarpazza, Cristina, Sormani, Maria Pia, Cossi, Stefania·2020·European Journal of Internal Medicine

Abstract

Highlights • Pneumonia with respiratory failure represents the main cause of death in COVID-19.• Hyperinflammation plays an important role in COVID-19 lung damage.• Tocilizumab might be helpful to treat COVID-19 related pneumonia.• 8% vs 57% of deaths were observed in patients treated or not treated with tocilizumab.• Early administration of tocilizumab drastically reduced mortality rate in our sample.• Tocilizumab might prevent excessive lung damage and death in patients with COVID-19.

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Registry

Crossref · 10.1016/j.ejim.2020.05.009

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Metadata

Authors
Capra, R., De Rossi, N., Mattioli, F., Romanelli, G., Scarpazza, C., Sormani, M. P., & Cossi, S.
Venue
European Journal of Internal Medicine
Publisher
Elsevier BV
Published
2020-06
Volume
76
Pages
31-35
ISSN
0953-6205 (ISSN-L)
OpenAlex
W3025502129
Cited by
271
References
6
FWCI
7.79
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Impact of low dose tocilizumab on mortality rate in patients with COVID-19 related pneumonia. https://app.cochat.ai/papers/10.1016/j.ejim.2020.05.009
The paper
Capra, R., De Rossi, N., Mattioli, F., Romanelli, G., Scarpazza, C., Sormani, M. P., & Cossi, S. (2020). Impact of low dose tocilizumab on mortality rate in patients with COVID-19 related pneumonia. European Journal of Internal Medicine. https://doi.org/10.1016/j.ejim.2020.05.009

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.