Prediction models for ischemic stroke and bleeding in dialysis patients: a systematic review and meta-analysis.

ABSTRACT:

Background

Patients with kidney failure on maintenance dialysis have a high stroke and bleeding risk. Multivariable prediction models can be used to estimate the risk of ischemic stroke and bleeding. A systematic review and meta-analysis was performed to determine the performance of the existing models in patients on dialysis.

Methods

MEDLINE and Embase databases were searched, from inception through 12 January 2024, for studies of prediction models for stroke or bleeding, derived or validated in dialysis cohorts. Discrimination measures for models with c-statistic data from three or more cohorts were pooled by random effects meta-analysis and a 95% prediction interval (PI) was calculated. Risk of bias was assessed using PROBAST. The review was conducted according to the PRI

SUBMITTER: Travlos CK 

PROVIDER: S-EPMC11841370 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature