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Published on: September 5, 2025
Characterising long COVID: a living systematic review
Melina Michelen1,2, Lakshmi Manoharan2, Natalie Elkheir3
1School of Health Sciences, City University of London, London, UK.
Long COVID presents complex, prolonged symptoms like fatigue and weakness. Further research is crucial to understand its causes and develop effective treatments for affected individuals.
Area of Science:
- Medical Research
- Public Health
- Epidemiology
Background:
- Clinical sequelae, known as long COVID, can persist after acute COVID-19 infection.
- The precise nature, frequency, and causes of long COVID remain poorly understood.
- Existing research often has limitations, including high risk of bias and underrepresentation of certain populations.
Purpose of the Study:
- To systematically synthesize current evidence on the characteristics of long COVID.
- To inform clinical management and rehabilitation strategies for long COVID patients.
- To guide future interventional studies aimed at improving long-term health outcomes.
Main Methods:
- A living systematic review methodology was employed.
- Searches were conducted across multiple databases (Medline, CINAHL, Global Health, WHO COVID-19 database, LitCovid, Google Scholar) up to March 17, 2021.
- Included studies involved at least 100 participants with confirmed or suspected COVID-19, assessed at 12 weeks or more post-onset.
Main Results:
- 39 studies (32 cohort, 6 cross-sectional, 1 case-control) involving 10,951 participants were analyzed.
- Commonly reported symptoms include weakness (41%), general malaise (33%), fatigue (31%), concentration impairment (26%), and breathlessness (25%).
- Reduced quality of life was reported by 37% of patients, and 26% of studies indicated reduced pulmonary function.
Conclusions:
- Long COVID is characterized by prolonged, heterogeneous symptoms, making precise definition and risk evaluation challenging.
- There is a critical need for prospective, standardized, and controlled studies.
- Future research should focus on etiology, risk factors, and biomarkers across diverse populations and settings.
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