| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5691497 | European Journal of Obstetrics & Gynecology and Reproductive Biology | 2017 | 7 Pages |
Abstract
There currently isn't a definitive prediction model with adequate ability to discriminate for preeclampsia, which performs as well when applied to a different population and can differentiate well between the highest and lowest risk groups within the tested population. The pre-existing large number of models limits the value of further model development and future research should be focussed on further attempts to validate existing models and assessing whether implementation of these improves patient care.
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Authors
Rebecca E. Allen, Javier Zamora, David Arroyo-Manzano, Luxmilar Velauthar, John Allotey, Shakila Thangaratinam, Joseph Aquilina,
