Prediction and prevention of spontaneous preterm birth: an Individual Participant Data Meta-Analysis comprising of prognostic and therapeutic data [ 2018 - ]

Research Grant

Researchers: Prof Ben Mol (Principal investigator) ,  A/Pr Michael Stark ,  Dr Rui Wang ,  Mr David Espinoza ,  Prof Jon Hyett
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Brief description Spontaneous preterm birth is an important issue in obstetric care. Since potential treatments (pessary, progesterone) are available, accurate prediction is of imminent importance. We have established a collaborative network of >100 investigators (IPPIC-2) involved in primary studies with data on more than 1.2 milli women. We will estimate the value of individual clinical, biochemical and ultrasound markers for predicting preterm birth, and integrate that with therapeutic interventions.

Funding Amount $1,103,273.00

Funding Scheme Project Grants

Notes Standard Project Grant