The risk of Long Covid symptoms: a systematic review and meta-analysis of controlled studies

Abstract

The global evidence on the risk of symptoms of Long Covid in general populations infected with SARS-CoV-2 compared to uninfected comparator/control populations remains unknown. We conducted a systematic literature search using multiple electronic databases from January 1, 2022, to August 1, 2024. Included studies had ≥100 people with confirmed or self-reported COVID-19 at ≥28 days following infection onset, and an uninfected comparator/control group. Results were summarised descriptively and meta-analyses were conducted to derive pooled risk ratio estimates. 50 studies totaling 14,661,595 people were included. In all populations combined, there was an increased risk of a wide range of 39 out of 40 symptoms in those infected with SARS‑CoV‑2 compared to uninfected controls. The symptoms with the highest pooled relative risks were loss of smell (RR 4.31; 95% CI 2.66, 6.99), loss of taste (RR 3.71; 95% CI 2.22, 7.26), poor concentration (RR 2.68; 95% CI 1.66, 4.33), impaired memory (RR 2.53; 95% CI 1.82, 3.52), and hair loss/alopecia (RR 2.38; 95% CI 1.69, 3.33). This evidence synthesis, of 50 controlled studies with a cumulative participant count exceeding 14 million people, highlights a significant risk of diverse long-term symptoms in individuals infected with SARS-CoV-2, especially among those who were hospitalised.

Publication DOI: https://doi.org/10.1038/s41467-025-59012-w
Divisions: College of Business and Social Sciences > School of Social Sciences & Humanities > Sociology and Policy
College of Business and Social Sciences > School of Social Sciences & Humanities > Centre for Health and Society
College of Business and Social Sciences > School of Social Sciences & Humanities
Funding Information: This work is funded by National Institute for Health and Care Research Applied Research Collaboration East Midlands NIHR ARC East Midlands). K.K. is supported by the National Institute for Health Research (NIHR) Applied Research Collaboration East Midland
Additional Information: Copyright © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/.
Publication ISSN: 2041-1723
Data Access Statement: The dataset generated during and analysed during the current study are available in the Figshare repository (https://doi.org/10.6084/m9.figshare.28695185.v1).
Last Modified: 09 May 2025 16:19
Date Deposited: 09 May 2025 16:19
Full Text Link:
Related URLs: https://www.nat ... 467-025-59012-w (Publisher URL)
PURE Output Type: Article
Published Date: 2025-05-07
Accepted Date: 2025-04-07
Authors: O’Mahoney, Lauren L.
Routen, Ash
Gillies, Clare
Jenkins, Sian A.
Almaqhawi, Abdullah
Ayoubkhani, Daniel
Banerjee, Amitava
Brightling, Chris
Calvert, Melanie
Cassambai, Shabana
Ekezie, Winifred (ORCID Profile 0000-0001-6622-0784)
Funnell, Mark P.
Welford, Anneka
Peace, Arron
Evans, Rachael A.
Jeffers, Shavez
Kingsnorth, Andrew P.
Pareek, Manish
Seidu, Samuel
Wilkinson, Thomas J.
Willis, Andrew
Shafran, Roz
Stephenson, Terence
Sterne, Jonathan
Ward, Helen
Ward, Tom
Khunti, Kamlesh

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