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Cited by 282

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Cerebrovascular disease is associated with an increased disease severity in patients with Coronavirus Disease 2019 (COVID-19): A pooled analysis of published literature

Open access
Aggarwal, Gaurav, Lippi, Giuseppe, Michael Henry, Brandon·2020·International Journal of Stroke

Abstract

Introduction: There is an urgent need to identify patients at high risk during the ongoing coronavirus disease (COVID-19) pandemic. Whether a history of stroke is associated with increased severity of disease or mortality is unknown. Method: We pooled studies from published literature to assess the association of a history of stroke with outcomes in patients with COVID-19. Results: A pooled analysis of 4 studies showed a ∼2.5-fold increase in odds of severe COVID-19. While a trend was observed, there was no statistically significant association of stroke with mortality in patients with COVID-19 infection. Discussion: Our findings are limited by a small number of studies and sample size. Conclusion: There is a ∼2.5-fold increase in odds of severe COVID-19 illness with a history of cerebrovascular disease.

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Metadata

Authors
Aggarwal, G., Lippi, G., & Michael Henry, B.
Venue
International Journal of Stroke
Published
2020-04-20
Volume
15
Issue
4
Pages
385-389
ISSN
  • 1747-4930 (ISSN-L)
  • 1747-4949
OpenAlex
W3016338297
Cited by
282
References
2
FWCI
7.91
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Cerebrovascular disease is associated with an increased disease severity in patients with Coronavirus Disease 2019 (COVID-19): A pooled analysis of published literature. https://app.cochat.ai/papers/10.1177/1747493020921664
The paper
Aggarwal, G., Lippi, G., & Michael Henry, B. (2020). Cerebrovascular disease is associated with an increased disease severity in patients with Coronavirus Disease 2019 (COVID-19): A pooled analysis of published literature. International Journal of Stroke. https://doi.org/10.1177/1747493020921664

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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.