The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales
Open accessAbstract
Background: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a prothrombotic state, but long-term effects of COVID-19 on incidence of vascular diseases are unclear. Methods: We studied vascular diseases after COVID-19 diagnosis in population-wide anonymized linked English and Welsh electronic health records from January 1 to December 7, 2020. We estimated adjusted hazard ratios comparing the incidence of arterial thromboses and venous thromboembolic events (VTEs) after diagnosis of COVID-19 with the incidence in people without a COVID-19 diagnosis. We conducted subgroup analyses by COVID-19 severity, demographic characteristics, and previous history. Results: Among 48 million adults, 125 985 were hospitalized and 1 319 789 were not hospitalized within 28 days of COVID-19 diagnosis. In England, there were 260 279 first arterial thromboses and 59 421 first VTEs during 41.6 million person-years of follow-up. Adjusted hazard ratios for first arterial thrombosis after COVID-19 diagnosis compared with no COVID-19 diagnosis declined from 21.7 (95% CI, 21.0–22.4) in week 1 after COVID-19 diagnosis to 1.34 (95% CI, 1.21–1.48) during weeks 27 to 49. Adjusted hazard ratios for first VTE after COVID-19 diagnosis declined from 33.2 (95% CI, 31.3–35.2) in week 1 to 1.80 (95% CI, 1.50–2.17) during weeks 27 to 49. Adjusted hazard ratios were higher, for longer after diagnosis, after hospitalized versus nonhospitalized COVID-19, among Black or Asian versus White people, and among people without versus with a previous event. The estimated whole-population increases in risk of arterial thromboses and VTEs 49 weeks after COVID-19 diagnosis were 0.5% and 0.25%, respectively, corresponding to 7200 and 3500 additional events, respectively, after 1.4 million COVID-19 diagnoses. Conclusions: High relative incidence of vascular events soon after COVID-19 diagnosis declines more rapidly for arterial thromboses than VTEs. However, incidence remains elevated up to 49 weeks after COVID-19 diagnosis. These results support policies to prevent severe COVID-19 by means of COVID-19 vaccines, early review after discharge, risk factor control, and use of secondary preventive agents in high-risk patients.
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
Long-term cardiovascular outcomes of COVID-19
Xie, Y., Xu, E., Bowe, B., & Al-Aly, Z. (2022) · Nature Medicine · doi:10.1038/s41591-022-01689-3 · Cited by 2,029
Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infection
Kwong, J. C., Schwartz, K. L., Campitelli, M. A., Chung, H., Crowcroft, N. S., Karnauchow, T., Katz, K., Ko, D. T., McGeer, A. J., McNally, D., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1702090 · Cited by 1,199
Cardiovascular complications in COVID-19
Long, B., Brady, W. J., Koyfman, A., & Gottlieb, M. (2020) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2020.04.048 · Cited by 974
Thrombosis in Hospitalized Patients With COVID-19 in a New York City Health System
Bilaloglu, S., Aphinyanaphongs, Y., Jones, S., Iturrate, E., Hochman, J., & Berger, J. S. (2020) · JAMA · doi:10.1001/jama.2020.13372 · Cited by 818
COVID-19 pandemic and admission rates for and management of acute coronary syndromes in england
Mafham, M. M., Spata, E., Goldacre, R., Gair, D., Curnow, P., Bray, M., Hollings, S., Roebuck, C., Gale, C. P., Mamas, M. A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31356-8 · Cited by 714
Self-citationStroke in COVID-19: A systematic review and meta-analysis
Nannoni, S., de Groot, R., Bell, S., & Markus, H. S. (2021) · International Journal of Stroke · doi:10.1177/1747493020972922 · Cited by 584
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
Pulmonary Embolism and Deep Vein Thrombosis in COVID-19: A Systematic Review and Meta-Analysis
Suh, Y. J., Hong, H., Ohana, M., Bompard, F., Revel, M.-P., Valle, C., Gervaise, A., Poissy, J., Susen, S., Hékimian, G., et al. (2021) · Radiology · doi:10.1148/radiol.2020203557 · Cited by 489
Hippisley-Cox, J., Patone, M., Mei, X. W., Saatci, D., Dixon, S., Khunti, K., Zaccardi, F., Watkinson, P., Shankar-Hari, M., Doidge, J., et al. (2021) · BMJ · doi:10.1136/bmj.n1931 · Cited by 371
Self-citationCOVID-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
Cited by
Mancia, G., Kreutz, R., Brunström, M., Burnier, M., Grassi, G., Januszewicz, A., Muiesan, M. L., Tsioufis, K., Agabiti-Rosei, E., Algharably, E. A. E., et al. (2023) · Journal of Hypertension · doi:10.1097/hjh.0000000000003480 · Cited by 3,473
Metadata
- Authors
- Knight, R., Walker, V., Ip, S., Cooper, J. A., Bolton, T., Keene, S., Denholm, R., Akbari, A., Abbasizanjani, H., Torabi, F., Omigie, E., Hollings, S., North, T.-L., Toms, R., Jiang, X., Angelantonio, E. D., Denaxas, S., Thygesen, J. H., Tomlinson, C., Bray, B., Smith, C. J., Barber, M., Khunti, K., Davey Smith, G., Chaturvedi, N., Sudlow, C., Whiteley, W. N., Wood, A. M., Sterne, J. A. C., & for the CVD-COVID-UK/COVID-IMPACT Consortium and the Longitudinal Health and Wellbeing COVID-19 National Core Study
- Venue
- Circulation
- Published
- 2022-09-20
- Volume
- 146
- Issue
- 12
- Pages
- 892-906
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W4296299144
- Cited by
- 292
- References
- 25
- FWCI
- 29.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales. https://app.cochat.ai/papers/10.1161/circulationaha.122.060785
- The paper
- Knight, R., Walker, V., Ip, S., Cooper, J. A., Bolton, T., Keene, S., Denholm, R., Akbari, A., Abbasizanjani, H., Torabi, F., Omigie, E., Hollings, S., North, T.-L., Toms, R., Jiang, X., Angelantonio, E. D., Denaxas, S., Thygesen, J. H., Tomlinson, C., . . . for the CVD-COVID-UK/COVID-IMPACT Consortium and the Longitudinal Health and Wellbeing COVID-19 National Core Study. (2022). Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales. Circulation. https://doi.org/10.1161/circulationaha.122.060785
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.