The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
The vascular endothelium: the cornerstone of organ dysfunction in severe SARS-CoV-2 infection
Open accessAbstract
In severe SARS-CoV-2 infections, emerging data including recent histopathological studies have emphasized the crucial role of endothelial cells (ECs) in vascular dysfunction, immunothrombosis, and inflammation. Histopathological studies have evidenced direct viral infection of ECs, endotheliitis with diffuse endothelial inflammation, and micro- and macrovascular thrombosis both in the venous and arterial circulations. Venous thrombotic events, particularly pulmonary embolism, with elevated D-dimer and coagulation activation are highly prevalent in COVID-19 patients. The pro-inflammatory cytokine storm, with elevated levels of interleukin-6 (IL-6), IL-2 receptor, and tumor necrosis factor-α, could also participate in endothelial dysfunction and leukocyte recruitment in the microvasculature. COVID-19-induced endotheliitis may explain the systemic impaired microcirculatory function in different organs in COVID-19 patients. Ongoing trials directly and indirectly target COVID-19-related endothelial dysfunctions: i.e., a virus-cell entry using recombinant angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS-2) blockade, coagulation activation, and immunomodulatory therapies, such as anti-IL-6 strategies. Studies focusing on endothelial dysfunction in COVID-19 patients are warranted as to decipher their precise role in severe SARS-CoV-2 infection and organ dysfunction and to identify targets for further interventions.
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
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
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Wu, C., Chen, X., Cai, Y., Xia, J., Zhou, X., Xu, S., Huang, H., Zhang, L., Zhou, X., Du, C., et al. (2020) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2020.0994 · Cited by 8,249
Mizgerd, J. P., Kubo, H., Kutkoski, G. J., Bhagwan, S. D., Scharffetter-Kochanek, K., Beaudet, A. L., & Doerschuk, C. M. (1997) · The Journal of Experimental Medicine · doi:10.1084/jem.186.8.1357 · Cited by 7,306
Endothelial cell infection and endotheliitis in COVID-19
Varga, Z., Flammer, A. J., Steiger, P., Haberecker, M., Andermatt, R., Zinkernagel, A. S., Mehra, M. R., Schuepbach, R. A., Ruschitzka, F., & Moch, H. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30937-5 · Cited by 6,358
Hamming, I., Timens, W., Bulthuis, M., Lely, A., Navis, G., & van Goor, H. (2004) · The Journal of Pathology · doi:10.1002/path.1570 · Cited by 5,676
Tang, N., Li, D., Wang, X., & Sun, Z. (2020) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.14768 · Cited by 5,662
Chimeric Antigen Receptor T Cells for Sustained Remissions in Leukemia
Maude, S. L., Frey, N., Shaw, P. A., Aplenc, R., Barrett, D. M., Bunin, N. J., Chew, A., Gonzalez, V. E., Zheng, Z., Lacey, S. F., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1407222 · Cited by 5,413 · cited 1×
“[29], in COVID-19 patients, plasmatic concentrations of cytokines, especially IL-6, are much lower than in typical hyper-inflammatory ARDS or in CRS and should be distinguished from them [30, 31].”
BackgroundIncidence of thrombotic complications in critically ill ICU patients with COVID-19
Klok, F. A., Kruip, M. J. H. A., van der Meer, N. J. M., Arbous, M. S., Gommers, D. A. M. P. J., Kant, K. M., Kaptein, F. H. J., van Paassen, J., Stals, M. A. M., Huisman, M. V., et al. (2020) · Thrombosis Research · doi:10.1016/j.thromres.2020.04.013 · Cited by 5,028
Cited by
Endothelial cell infection and endotheliitis in COVID-19
Varga, Z., Flammer, A. J., Steiger, P., Haberecker, M., Andermatt, R., Zinkernagel, A. S., Mehra, M. R., Schuepbach, R. A., Ruschitzka, F., & Moch, H. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30937-5 · Cited by 6,358
Risk of venous thromboembolism in patients with COVID‐19: A systematic review and meta‐analysis
Nopp, S., Moik, F., Jilma, B., Pabinger, I., & Ay, C. (2020) · Research and Practice in Thrombosis and Haemostasis · doi:10.1002/rth2.12439 · Cited by 489
Lifting the mask on neurological manifestations of COVID-19
Pezzini, A., & Padovani, A. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-0398-3 · Cited by 447
Harapan, B. N., & Yoo, H. J. (2021) · Journal of Neurology · doi:10.1007/s00415-021-10406-y · Cited by 359
COVID-19, immunothrombosis and venous thromboembolism: biological mechanisms
Loo, J., Spittle, D. A., & Newnham, M. (2021) · Thorax · doi:10.1136/thoraxjnl-2020-216243 · Cited by 341
Metadata
- Authors
- Pons, S., Fodil, S., Azoulay, E., & Zafrani, L.
- Venue
- Critical Care
- Published
- 2020-06-16
- Volume
- 24
- Issue
- 1
- Pages
- 353-353
- ISSN
- 1364-8535 (ISSN-L)
- OpenAlex
- W3035584582
- Cited by
- 517
- References
- 92
- FWCI
- 13.19
- Type
- journal article
- Language
- en
- Open access
- gold
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: The vascular endothelium: the cornerstone of organ dysfunction in severe SARS-CoV-2 infection. https://app.cochat.ai/papers/10.1186/s13054-020-03062-7
- The paper
- Pons, S., Fodil, S., Azoulay, E., & Zafrani, L. (2020). The vascular endothelium: the cornerstone of organ dysfunction in severe SARS-CoV-2 infection. Critical Care. https://doi.org/10.1186/s13054-020-03062-7
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.
