Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in women with symptoms of threatened preterm labor-Reference-Cited by-同舟云学术

Development and validation of predictive models for QUiPP App v.2: tool for predicting preterm birth in women with symptoms of threatened preterm labor

Published:2020-03 Issue:3 Volume:55 Page:357-367
ISSN:0960-7692
Container-title:Ultrasound in Obstetrics & Gynecology
language:en
Short-container-title:Ultrasound Obstet Gynecol

Author:

Carter J.¹^ORCID,Seed P. T.¹,Watson H. A.¹^ORCID,David A. L.²³,Sandall J.¹,Shennan A. H.¹,Tribe R. M.¹

Affiliation:

1. Department of Women and Children's HealthSchool of Life Course Sciences, King's College London London UK

2. Institute for Women's Health, University College London London UK

3. National Institute for Health Research, University College London Hospitals, Biomedical Research Centre London UK

Funder

Research Trainees Coordinating Centre

Publisher

Wiley

Subject

Obstetrics and Gynaecology,Radiology Nuclear Medicine and imaging,Reproductive Medicine,General Medicine,Radiological and Ultrasound Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/uog.20422

Reference36 articles.

1. Warning symptoms, uterine contractions, and cervical examination findings in women at risk of preterm delivery

2. Frequency of Uterine Contractions and the Risk of Spontaneous Preterm Delivery

3. Association between gestational age at birth, antenatal corticosteroids, and outcomes at 5 years: multiple courses of antenatal corticosteroids for preterm birth study at 5 years of age (MACS-5)

4. Multiple courses of antenatal corticosteroids for preterm birth (MACS): a randomised controlled trial

5. Repeat Antenatal Steroid Exposure and Later Blood Pressure, Arterial Stiffness, and Metabolic Profile

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