Prediction models for the risk of spontaneous preterm birth based on maternal characteristics: a systematic review and independent external validation.

ABSTRACT:

Introduction

Prediction models may contribute to personalized risk-based management of women at high risk of spontaneous preterm delivery. Although prediction models are published frequently, often with promising results, external validation generally is lacking. We performed a systematic review of prediction models for the risk of spontaneous preterm birth based on routine clinical parameters. Additionally, we externally validated and evaluated the clinical potential of the models.

Material and methods

Prediction models based on routinely collected maternal parameters obtainable during first 16 weeks of gestation were eligible for selection. Risk of bias was assessed according to the CHARMS guidelines. We validated the selected models in a Dutch multicenter prospective coho

SUBMITTER: Meertens LJE 

PROVIDER: S-EPMC6099449 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature