The DOI matches its Crossref record; 179 of the 179 references it cites were found in a registry or an index.
Long COVID: a clinical update
Abstract
Post-COVID-19 condition (also known as long COVID) is generally defined as symptoms persisting for 3 months or more after acute COVID-19. Long COVID can affect multiple organ systems and lead to severe and protracted impairment of function as a result of organ damage. The burden of this disease, both on the individual and on health systems and national economies, is high. In this interdisciplinary Review, with a coauthor with lived experience of severe long COVID, we sought to bring together multiple streams of literature on the epidemiology, pathophysiology (including the hypothesised mechanisms of organ damage), lived experience and clinical manifestations, and clinical investigation and management of long COVID. Although current approaches to long COVID care are largely symptomatic and supportive, recent advances in clinical phenotyping, deep molecular profiling, and biomarker identification might herald a more mechanism-informed and personally tailored approach to clinical care. We also cover the organisation of services for long COVID, approaches to preventing long COVID, and suggestions for future research.
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Cites
A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale
Johns, M. W. (1991) · Sleep · doi:10.1093/sleep/14.6.540 · Cited by 17,364
Long COVID: major findings, mechanisms and recommendations
Davis, H. E., McCorkell, L., Vogel, J. M., & Topol, E. J. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00846-2 · Cited by 4,153
Characterizing long COVID in an international cohort: 7 months of symptoms and their impact
Davis, H. E., Assaf, G. S., McCorkell, L., Wei, H., Low, R. J., Re'em, Y., Redfield, S., Austin, J. P., & Akrami, A. (2021) · eClinicalMedicine · doi:10.1016/j.eclinm.2021.101019 · Cited by 2,881
A clinical case definition of post-COVID-19 condition by a Delphi consensus
Soriano, J. B., Murthy, S., Marshall, J. C., Relan, P., & Diaz, J. V. (2022) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(21)00703-9 · Cited by 2,561
Fatigue and cognitive impairment in Post-COVID-19 Syndrome: a systematic review and meta-analysis
Ceban, F., Ling, S., Lui, L. M. W., Lee, Y., Gill, H., Teopiz, K. M., Rodrigues, N. B., Subramaniapillai, M., Di Vincenzo, J. D., Cao, B., et al. (2022) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2021.12.020 · Cited by 1,554
Chung, F., Abdullah, H. R., & Liao, P. (2016) · Chest · doi:10.1378/chest.15-0903 · Cited by 1,362
1-year outcomes in hospital survivors with COVID-19: a longitudinal cohort study.
Huang, L., Yao, Q., Gu, X., Wang, Q., Ren, L., Wang, Y., Hu, P., Guo, L., Liu, M., Xu, J., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)01755-4 · Cited by 1,101
Phetsouphanh, C., Darley, D. R., Wilson, D. B., Howe, A., Munier, C. M. L., Patel, S. K., Juno, J. A., Burrell, L. M., Kent, S. J., Dore, G. J., et al. (2022) · Nature Immunology · doi:10.1038/s41590-021-01113-x · Cited by 1,015
How and why patients made Long Covid
Callard, F., & Perego, E. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2020.113426 · Cited by 924
Long COVID after breakthrough SARS-CoV-2 infection
Al-Aly, Z., Bowe, B., & Xie, Y. (2022) · Nature Medicine · doi:10.1038/s41591-022-01840-0 · Cited by 866
Metadata
- Authors
- Greenhalgh, T., Sivan, M., Perlowski, A., & Nikolich, J. Ž.
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2024-08
- Volume
- 404
- Issue
- 10453
- Pages
- 707-724
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W4401160614
- Cited by
- 502
- References
- 179
- FWCI
- 115.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Greenhalgh, T., Sivan, M., Perlowski, A., & Nikolich, J. Ž. (2024). Long COVID: a clinical update. The Lancet. https://doi.org/10.1016/s0140-6736(24)01136-x
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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.