Using Cervical Length Measurement for Lower Spontaneous Preterm Birth Rates Among Women With Threatened Preterm Labor
Author:
Publisher
Ovid Technologies (Wolters Kluwer Health)
Subject
Obstetrics and Gynecology
Reference12 articles.
1. Management options in women with preterm uterine contractions: a randomized trial;Guinn;Am J Obstet Gynecol,1997
2. Fetal fibronectin in cervical and vaginal secretions as a predictor of preterm delivery;Lockwood;N Engl J Med,1991
3. Biophysical and biochemical screening for the risk of preterm labor: an update;Wax;Clin Lab Med,2016
4. Rapid fetal fibronectin testing to predict preterm birth in women with symptoms of premature labour: a systematic review and cost analysis;Deshpande;Health Technol Assess,2013
5. Fetal fibronectin testing for prevention of preterm birth in singleton pregnancies with threatened preterm labor: a systematic review and metaanalysis of randomized controlled trials;Berghella;Am J Obstet Gynecol,2016
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1. Causes and Consequences of Preterm Birth, A Systematic Review;Pakistan Journal of Health Sciences;2022-12-31
2. Cervical length screening for predicting preterm birth: A comparative review of guidelines;Journal of Clinical Ultrasound;2022-09-28
3. ISUOGPractice Guidelines: role of ultrasound in the prediction of spontaneous preterm birth;Ultrasound in Obstetrics & Gynecology;2022-07-29
4. Cervical Length Ultrasound for the Evaluation of Preterm Labor: A Survey of National Use and Review of Evidence;American Journal of Perinatology;2022-05-17
5. Preterm labor tests: current status and future directions;Critical Reviews in Clinical Laboratory Sciences;2022-01-25
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