Unknown

Dataset Information

Identifying subtypes of Long COVID: a systematic review.


ABSTRACT:

Background

Long COVID, a persistent condition following SARS-CoV-2 infection, exhibits diverse symptoms across multiple organ systems. This study aims to summarize the existing clustering and classification approaches to support the management of Long COVID.

Methods

Following PRISMA guidelines, we systematically searched PubMed, Embase, Web of Science, and Google Scholar from their inception to January 21, 2025, and updated the search on October 1, 2025, to identify studies that presented a way to categorize Long COVID patients or symptoms. Data extraction and quality assessment were conducted for eligible studies. We presented symptom co-occurrence networks, and performed meta-analysis to estimate the percentage of different organ system-based symptom clusters. In addition,

SUBMITTER: Wang B 

PROVIDER: S-EPMC12774694 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature