Unknown

Dataset Information

COVID-associated arthritis after severe and non-severe COVID-19: A systematic review.


ABSTRACT:

Aim

Since the coronavirus outbreak became a global health emergency in 2020, various immune-based effects, such as inflammatory arthritis (IA), have been recorded. This study aimed to determine the role of COVID-19 severity on post-COVID arthritis.

Methods

We systematically reviewed 95 patients who developed arthritis after severe and non-severe COVID-19 infection by searching the databases, including PubMed, SCOPUS, and EMBASE. We used the term "COVID-associated arthritis" because there was no definite diagnostic method for classifying arthritides after COVID-19 infection, and the diagnosed arthritis types were based on the authors' viewpoints.

Results

After evaluating the data between the two severe and non-severe COVID-19-infected groups of patients, the results sh

SUBMITTER: Zarpoosh M 

PROVIDER: S-EPMC10566449 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature