Unknown

Dataset Information

Association of COVID-19 infection and the risk of new incident diabetes: a systematic review and meta-analysis.


ABSTRACT:

Background

As the world population recovers from the COVID-19 infection, a series of acute sequelae emerge including new incident diabetes. However, the association between COVID-19 infection and new incident diabetes is not fully understood. We purpose to determine the risk of new incident diabetes after COVID-19 infection.

Methods

PubMed, Embase, and Cochrane Library were used as databases to search for cohort studies published from database inception to February 4, 2024. Two reviewers independently conducted the study screening, data extraction, and risk of bias assessment. A random-effects model was adopted to pool the hazard ratio (HR) with corresponding 95% confidence intervals (CI). Subgroup analysis was conducted to explore the potential influencing factors.

Resul

SUBMITTER: Zhou J 

PROVIDER: S-EPMC11381376 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature