The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
COVID-19 and the Heart
Abstract
Infection with the severe acute respiratory syndrome novel coronavirus produces a clinical syndrome known as 2019 novel coronavirus disease (COVID-19). When severe, COVID-19 is a systemic illness characterized by hyperinflammation, cytokine storm, and elevations of cardiac injury biomarkers. Here, we review what is known about the pathophysiology of COVID-19, its cardiovascular manifestations, and emerging therapeutic prospects. In this rapidly moving field, this review was comprehensive as of April 3, 2020.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545
First case of 2019 novel coronavirus in the United States
Holshue, M. L., DeBolt, C., Lindquist, S., Lofy, K. H., Wiesman, J., Bruce, H., Spitters, C., Ericson, K., Wilkerson, S., Tural, A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001191 · Cited by 6,030
Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
Li, W., Moore, M. J., Vasilieva, N., Sui, J., Wong, S. K., Berne, M. A., Somasundaran, M., Sullivan, J. L., Luzuriaga, K., Greenough, T. C., et al. (2003) · Nature · doi:10.1038/nature02145 · Cited by 5,923
Ruan, Q., Yang, K., Wang, W., Jiang, L., & Song, J. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-05991-x · Cited by 4,898
Dysregulation of Immune Response in Patients With Coronavirus 2019 (COVID-19) in Wuhan, China
Qin, C., Zhou, L., Hu, Z., Zhang, S., Yang, S., Tao, Y., Xie, C., Ma, K., Shang, K., Wang, W., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa248 · Cited by 4,775
Association of cardiac injury with mortality in hospitalized patients with COVID-19 in Wuhan, China
Shi, S., Qin, M., Shen, B., Cai, Y., Liu, T., Yang, F., Gong, W., Liu, X., Liang, J., Zhao, Q., et al. (2020) · JAMA Cardiology · doi:10.1001/jamacardio.2020.0950 · Cited by 4,349
Letko, M., Marzi, A., & Munster, V. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0688-y · Cited by 3,109
Cited by
Long covid—mechanisms, risk factors, and management
Crook, H., Raza, S., Nowell, J., Young, M., & Edison, P. (2021) · BMJ · doi:10.1136/bmj.n1648 · Cited by 1,655
The pivotal link between ACE2 deficiency and SARS-CoV-2 infection
Verdecchia, P., Cavallini, C., Spanevello, A., & Angeli, F. (2020) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2020.04.037 · Cited by 1,237
SARS-CoV-2 infection: The role of cytokines in COVID-19 disease
Costela-Ruiz, V. J., Illescas-Montes, R., Puerta-Puerta, J. M., Ruiz, C., & Melguizo-Rodríguez, L. (2020) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2020.06.001 · Cited by 1,121
Biomarkers associated with COVID-19 disease progression
Ponti, G., Maccaferri, M., Ruini, C., Tomasi, A., & Ozben, T. (2020) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2020.1770685 · Cited by 890
Gallo, L. A., Gallo, T. F., Young, S. L., Moritz, K. M., & Akison, L. K. (2020) · Nutrients · doi:10.3390/nu12061865 · Cited by 353
Metadata
- Authors
- Akhmerov, A., & Marbán, E.
- Venue
- Circulation Research
- Published
- 2020-05-08
- Volume
- 126
- Issue
- 10
- Pages
- 1443-1455
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W3014099229
- Cited by
- 693
- References
- 20
- FWCI
- 19.04
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: COVID-19 and the Heart. https://app.cochat.ai/papers/10.1161/circresaha.120.317055
- The paper
- Akhmerov, A., & Marbán, E. (2020). COVID-19 and the Heart. Circulation Research. https://doi.org/10.1161/circresaha.120.317055
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.
