scholarly journals Interventions to prevent spontaneous preterm birth in high-risk women with singleton pregnancy: a systematic review and network meta-analysis

Author(s):  
Nancy Medley ◽  
Sarah Donegan ◽  
Sarah J Nevitt ◽  
Laura Goodfellow ◽  
Lynn Hampson ◽  
...  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Kimberley P. Williams ◽  
Liam McAuliffe ◽  
Rosanna Diacci ◽  
Anne-Marie Aubin ◽  
Ashad Issah ◽  
...  

Abstract Background Preterm birth (PTB) is estimated to affect 14.9 million babies globally every year. Global rates of PTB continue to increase from 9.8 to 10.6% over a 15-year period from 2000 to 2014. Vaginal progesterone is commonly used by clinicians as a prevention strategy, with recent evidence affirming the benefit of vaginal (micronised) progesterone to prevent PTB in women with a shortened cervix (< 25 mm). Given the low incidence of a short cervix at mid-gestation in high-risk populations further evidence is required. The objective of this review is to determine if vaginal progesterone reduces spontaneous preterm birth (sPTB) before 37 weeks in asymptomatic high-risk women with a singleton pregnancy with a normal mid-gestation cervical length. Methods Studies will be sourced from MEDLINE, Embase and Cochrane Register of Trials (CENTRAL) from their inception onwards with the search terms ‘progesterone’ and ‘preterm birth’. Studies will be screened and included if they assess vaginal progesterone compared to placebo in women with a normal cervical length. The primary outcome will be sPTB < 37 weeks, with secondary outcomes of sPTB < 34 weeks. Two independent reviewers will conduct study screening at abstract and full text level, data extraction and risk of bias assessment with disagreements resolved by an experienced researcher. The Mantel-Haenszel statistical method and random effects analysis model will be used to produce treatment effect odds ratios and corresponding 95% confidence intervals. Discussion This review will assess the current body of evidence and provide clarity regarding the potential benefits and best practice of use of vaginal progesterone in asymptomatic women with high-risk singleton pregnancies and normal cervical length. Trial registration PROSPERO CRD42020152051


2020 ◽  
Author(s):  
Kimberley Paige Williams ◽  
Liam McAuliffe ◽  
Rosanna Diacci ◽  
Anne-Marie Aubin ◽  
Ashad Issah ◽  
...  

Abstract Background: Preterm birth (PTB) is estimated to affect 14.9 million babies globally every year. Global rates of PTB continue to increase from 9.8% to 10.6% over a 15-year period from 2000 to 2014. Vaginal progesterone is commonly used by clinicians as a prevention strategy, with recent evidence affirming the benefit of vaginal (micronized) progesterone to prevent PTB in women with a shortened cervix (<25mm). Given the low incidence of a short cervix at mid-gestation in high-risk populations further evidence is required. The objective of this review is to determine if vaginal progesterone reduces spontaneous preterm birth (sPTB) before 37 weeks in asymptomatic high-risk women with a singleton pregnancy with a normal mid-gestation cervical length. Methods: Studies will be sourced from MEDLINE and Embase databases with the search terms “progesterone” and “preterm birth”. Studies will be screened and included if they assess vaginal progesterone compared to placebo in women with a normal cervical length. The primary outcome will be sPTB <37 weeks, with secondary outcomes of sPTB <34 weeks. Two independent reviewers will conduct study screening at abstract and full text level, data extraction and risk of bias assessment with disagreements resolved by an experienced researcher. The Mantel-Haenszel statistical method and random effects analysis model will be used to produce treatment effect odds ratios and corresponding 95% confidence intervals.Discussion: This review will assess the current body of evidence and provide clarity regarding the potential benefits and best practice of use of vaginal progesterone in asymptomatic women with high risk singleton pregnancies and normal cervical length. Trial registration: This study has been registered on PROSPERO with the registration number CRD42020152051


2013 ◽  
Vol 122 (2, PART 1) ◽  
pp. 283-289 ◽  
Author(s):  
Jamie A. Bastek ◽  
Adi Hirshberg ◽  
Suchitra Chandrasekaran ◽  
Carter M. Owen ◽  
Laura M. Heiser ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e026033 ◽  
Author(s):  
Renato T Souza ◽  
Rafael Bessa Galvão ◽  
Debora Farias Batista Leite ◽  
Renato Passini Jr ◽  
Philip Baker ◽  
...  

IntroductionPreterm birth (PTB) is the leading cause of neonatal mortality and short- and long-term morbidity. The aetiology and pathophysiology of spontaneous PTB (sPTB) are still unclear, which makes the identification of reliable and accurate predictor markers more difficult, particularly for unscreened or asymptomatic women. Metabolomics biomarkers have been demonstrated to be potentially accurate biomarkers for many disorders with complex mechanisms such as PTB. Therefore, we aim to perform a systematic review of metabolomics markers associated with sPTB. Our research question is ‘What is the performance of metabolomics for predicting spontaneous preterm birth in asymptomatic pregnant women?’Methods and analysisWe will focus on studies assessing metabolomics techniques for predicting sPTB in asymptomatic pregnant women. We will conduct a comprehensive systematic review of the literature from the last 10 years. Only observational cohort and case-control studies will be included. Our search strategy will be carried out by two independent reviewers, who will scan title and abstract before carrying out a full review of the article. The scientific databases to be explored include PubMed, MedLine, ScieLo, EMBASE, LILACS, Web of Science, Scopus and others.Ethics and disseminationThis systematic review protocol does not require ethical approval. We intend to disseminate our findings in scientific peer-reviewed journal, the Preterm SAMBA study open access website, specialists’ conferences and to our funding agencies.PROSPERO registration numberCRD42018100172.


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