Assisted Reproductive Technology as Predictor for Preeclampsia: A Systematic Review of Current Clinical Prediction Models.

ABSTRACT: Assisted Reproductive Technology (ART) increases the risk of preeclampsia (PE), yet no specific prediction model tailored to the ART population exists. This review evaluates prediction models incorporating ART as a predictor, focusing on risk of bias, performance, generalizability and clinical applicability. A systematic MEDLINE search up to July 2023 identified models predicting PE that included ART as a predictor. Exclusion comprised studies on outcomes after PE onset, univariable models and validation studies of previously validated models. Risk of bias, applicability and generalizability were assessed using the Prediction model Risk Of Bias ASsessment Tool (PROBAST) and the Transparent Reporting of a multivariable prediction model for Individual Prognosis and Diagnosis (TRIPOD) guideli

SUBMITTER: Lafeber GCM 

PROVIDER: S-EPMC13645924 | biostudies-literature | 2026 Oct

REPOSITORIES: biostudies-literature