A systematic review and meta-analysis of long COVID symptoms
Hillingdon Hospital · University College London Hospitals NHS Foundation Trust · +8 more institutions
Abstract
Ongoing symptoms or the development of new symptoms following a SARS-CoV-2 diagnosis has caused a complex clinical problem known as "long COVID" (LC). This has introduced further pressure on global healthcare systems as there appears to be a need for ongoing clinical management of these patients. LC personifies heterogeneous symptoms at varying frequencies. The most complex symptoms appear to be driven by the neurology and neuropsychiatry spheres.
A systematic protocol was developed, peer reviewed, and published in PROSPERO. The systematic review included publications from the 1st of December 2019-30th June 2021 published in English. Multiple electronic databases were used. The dataset has been analyzed using a random-effects model and a subgroup analysis based on geographical location. Prevalence and 95% confidence intervals (CIs) were established based on the data identified.
Citation impact
- FWCI
- 35.18
- Percentile
- 100%
- References
- 9
Authors
11- ANArun NatarajanCorresponding
Hillingdon Hospital
- ASAshish Shetty
University College London Hospitals NHS Foundation Trust, University College London
- GDGayathri Delanerolle
University of Oxford
- YZYutian Zeng
Southern University of Science and Technology
- YZYingzhe Zhang
Sichuan University, West China Hospital of Sichuan University
Topics & keywords
- Medicine
- Neuropsychiatry
- Meta-analysis
- MEDLINE
- Protocol (science)
- Cohort study
- Confidence interval
- Subgroup analysis