Prediction of pre-eclampsia: review of reviews.

R Townsend Asma KhalilY PremakumarJ AlloteyK I E SnellC ChanLucy C ChappellR HooperM GreenB W MolBaskaran ThilaganathanS Thangaratinamnull null

Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2020)

This review of reviews calls into question the need for further aggregate meta-analysis in this area given the large number of published reviews subject to the common limitations of primary predictive studies. Prospective, well-designed studies of predictive markers, preferably randomized intervention studies, and combined through individual-patient data meta-analysis are needed to develop and validate new prediction models to facilitate the prediction of pre-eclampsia and minimize further research waste in this field. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd.

Keyphrases

meta analyses
case control
systematic review
randomized controlled trial
open label
double blind
heavy metals
machine learning
phase iii
risk assessment