ObjectivesPrediction models can support clinical decision‐making and inform women and their partners regarding obstetric and neonatal management in complicated pregnancies. The first aim of this systematic review was to identify all prediction models on fetal and neonatal outcomes in pregnancies with preterm manifestations of placental insufficiency (i.e. gestational hypertension, pre‐eclampsia, HELLP‐syndrome or fetal growth restriction with its onset before 37 weeks of gestational age). The second aim was to appraise the quality of the models and their performance at external validation.MethodsA systematic literature search was performed in Pubmed, Web of Science and Embase. Studies describing prediction models on fetal or neonatal mortality, or significant neonatal morbidity in patients with preterm placental insufficiency disorders were included. Data extraction was performed using the CHARMS‐checklist. Risk of bias was assessed using PROBAST. Literature selection and data extraction were performed by two researchers independently.ResultsOur literature search yielded 22,491 unique publications. Fourteen were included after full text screening. These fourteen studies derived 41 prediction models, four models in the setting of pre‐eclampsia, two models in fetal growth restriction and/or pre‐eclampsia and 35 models in fetal growth restriction. None of the models were externally validated and internal validation was performed by only two studies. Final models contained mainly ultrasound (Doppler) markers as predictors of fetal and neonatal mortality and morbidity. Discriminative properties were reported for 27/41 models (c‐statistics between 0.6‐0.9). Only two studies presented a calibration plot. The risk of bias was assessed as unclear in one model and high for all other models, mainly due to inappropriate statistical methods.ConclusionsWe identified 41 prediction models for fetal and neonatal outcomes in pregnancies with preterm manifestations of placental insufficiency. All models were considered of low methodological quality, apart from one model (unclear quality). Higher quality models and external validation studies are needed to inform clinical decision‐making based on prediction models.This article is protected by copyright. All rights reserved.