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

自发性早产的预测和预防：包含预后和治疗数据的个体参与者数据荟萃分析

• 批准号: nhmrc : 1146590
• 负责人: A/Pr Lisa Askie
• 金额: $ 74.6万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/prediction-prevention-spontaneous-prognostic-therapeutic/1320688
• 关键词: Prediction; prevention; spontaneous; preterm; birth

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.

自发性早产是产科护理中的一个重要问题。由于潜在的治疗（子宫托，孕酮）是可用的，准确的预测是迫在眉睫的重要性。我们已经建立了一个由100名研究者组成的合作网络（IPPIC-2），参与了超过120万名女性的初步研究。我们将评估个体临床、生化和超声标记物预测早产的价值，并将其与治疗干预相结合。