The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health System
Open accessAbstract
Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health SystemPatients with coronavirus disease 2019 (COVID-19) are at increased risk of thrombosis. 1 However, studies have been limited in size, did not report all thrombotic events, and focused on patients with severe disease hospitalized in intensive care units (ICUs).We assessed the incidence of, and risk factors for, venous and arterial thrombotic events in all hospitalized patients with COVID-19 at a large health system consisting of 4 hospitals in New York City.Methods | This study included consecutive patients aged at least 18 years, admitted to a hospital affiliated with NYU Langone Health between March 1 and April 17, 2020, who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using reverse transcriptase-polymerase chain reac-
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
Incidence 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
COVID-19 and its implications for thrombosis and anticoagulation
Connors, J. M., & Levy, J. H. (2020) · Blood · doi:10.1182/blood.2020006000 · Cited by 2,369
Prevalence of venous thromboembolism in patients with severe novel coronavirus pneumonia
Cui, S., Chen, S., Li, X., Liu, S., & Wang, F. (2020) · Journal of Thrombosis and Haemostasis · doi:10.1111/jth.14830 · Cited by 1,806
Pandemic H1N1 Influenza Infection and Vascular Thrombosis
Bunce, P. E., High, S. M., Nadjafi, M., Stanley, K., Liles, W. C., & Christian, M. D. (2011) · Clinical Infectious Diseases · doi:10.1093/cid/ciq125 · Cited by 167
Grimnes, G., Isaksen, T., Tichelaar, Y. I. G. V., Brækkan, S. K., & Hansen, J. (2017) · Research and Practice in Thrombosis and Haemostasis · doi:10.1002/rth2.12065 · Cited by 68
Swartz, J. L., Koziatek, C. A., Theobald, J., Smith, S. W., & Iturrate, E. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.02.011 · Cited by 37
Self-citation
Cited by
Therapeutic Anticoagulation with Heparin in Noncritically Ill Patients with Covid-19
The ATTACC, A.-4. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2105911 · Cited by 1,046
Symptoms, complications and management of long COVID: a review
Aiyegbusi, O. L., Hughes, S. E., Turner, G., Rivera, S. C., McMullan, C., Chandan, J. S., Haroon, S., Price, G., Davies, E. H., Nirantharakumar, K., et al. (2021) · Journal of the Royal Society of Medicine · doi:10.1177/01410768211032850 · Cited by 969
Katsoularis, I., Fonseca-Rodríguez, O., Farrington, P., Lindmark, K., & Fors Connolly, A.-M. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00896-5 · Cited by 582
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
Alhazzani, W., Evans, L., Alshamsi, F., Møller, M. H., Ostermann, M., Prescott, H. C., Arabi, Y. M., Loeb, M., Ng Gong, M., Fan, E., et al. (2021) · Critical Care Medicine · doi:10.1097/ccm.0000000000004899 · Cited by 417
Metadata
- Authors
- Bilaloglu, S., Aphinyanaphongs, Y., Jones, S., Iturrate, E., Hochman, J., & Berger, J. S.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2020-08-25
- Volume
- 324
- Issue
- 8
- Pages
- 799
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W3043015313
- Cited by
- 818
- References
- 6
- FWCI
- 21.61
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health System. https://app.cochat.ai/papers/10.1001/jama.2020.13372
- The paper
- Bilaloglu, S., Aphinyanaphongs, Y., Jones, S., Iturrate, E., Hochman, J., & Berger, J. S. (2020). Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health System. JAMA. https://doi.org/10.1001/jama.2020.13372
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.