Established the first clinical prediction model regarding the risk of hyperuricemia in adult IgA nephropathy.

Objective: To construct a novel nomogram model that predicts the risk of hyperuricemia incidence in IgA nephropathy (IgAN).

Methods: Demographic and clinicopathological characteristics of 1184 IgAN patients in the First Affiliated Hospital of Zhengzhou University Hospital were collected. Univariate analysis and multivariate logistic regression were used to screen out hyperuricemia risk factors.

Hyperuricemia aggravates the progression of IgA nephropathy.

Objective: The relationship between hyperuricemia and IgA nephropathy (IgAN) was evaluated systematically in this research.

Methods: The Preferred Reporting Items for Systematic Review and Meta-analysis statement was employed to design and report the study.

Results: Twenty-five studies were included in this meta-analysis with a total of 6048 IgAN patients.