Literature DB >> 33350719

Transvaginal ultrasound cervical length for prediction of spontaneous labor at term: A protocol for systematic review and meta-analysis.

Lirong Wu1, Gang Lei2, Ming Tan3.   

Abstract

PURPOSE: To evaluate the predictive accuracy of transvaginal ultrasound (TVU) cervical length (CL) for spontaneous onset of labor in singleton gestation enrolled at term by a meta-analysis.
MATERIALS AND METHODS: This protocol established in this study has been reported following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols. Web of Science, PubMed, EMBASE, and the Cochrane Library were searched for all clinical trials assessing the accuracy of TVU CL in prediction of spontaneous onset of labor in singleton gestations with vertex presentation who were enrolled at term until August 15, 2020. We will use a combination of Medical Subject Heading and free-text terms with various synonyms to search based on the eligibility criteria. Two investigators independently reviewed the included studies and extracted relevant data. The 95% confidence intervals (CIs) of was used as effect estimate. I-square (I2) test, substantial heterogeneity, sensitivity analysis, and publication bias assessment will be performed accordingly. Stata 15.0 and Review Manger 5.3 are used for meta-analysis and systematic review.
RESULTS: The results will be published in a peer-reviewed journal.
CONCLUSION: The results of this review will be widely disseminated through peer-reviewed publications and conference presentations. This evidence may also assess the accuracy of TVU CL in prediction of spontaneous onset of labor in singleton gestations with vertex presentation. REGISTRATION NUMBER: INPLASY202080065.
Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Mesh:

Year:  2020        PMID: 33350719      PMCID: PMC7769322          DOI: 10.1097/MD.0000000000022237

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


  17 in total

1.  Predicting delivery date by ultrasound and last menstrual period in early gestation.

Authors:  P Taipale; V Hiilesmaa
Journal:  Obstet Gynecol       Date:  2001-02       Impact factor: 7.661

2.  Using Cervical Length Measurement for Lower Spontaneous Preterm Birth Rates Among Women With Threatened Preterm Labor.

Authors:  Giuseppe Chiossi; George R Saade; Baha Sibai; Vincenzo Berghella
Journal:  Obstet Gynecol       Date:  2018-07       Impact factor: 7.661

3.  Bias in meta-analysis detected by a simple, graphical test.

Authors:  M Egger; G Davey Smith; M Schneider; C Minder
Journal:  BMJ       Date:  1997-09-13

4.  Cervical length cut-off in twin pregnancy and preterm labor risk assessment algorithm: call for action.

Authors:  Giovanni Sisti
Journal:  Am J Obstet Gynecol       Date:  2017-05-11       Impact factor: 8.661

5.  Uterine Cervical Length Measurement to Reduce Length of Stay in Patients Admitted for Threatened Preterm Labor: A Randomized Trial.

Authors:  Montse Palacio; Javier Caradeux; Miriam Sánchez; Teresa Cobo; Francesc Figueras; Oriol Coll; Eduard Gratacós; Vicenç Cararach
Journal:  Fetal Diagn Ther       Date:  2017-08-17       Impact factor: 2.587

6.  Second-trimester cervical length and outcomes of induction of labor at term.

Authors:  Rupsa C Boelig; Anju Suhag; Juliana Guarente; Kelly Orzechowski; Vincenzo Berghella
Journal:  J Matern Fetal Neonatal Med       Date:  2017-04-10

7.  Single and repeat cervical-length measurement in twin gestation with threatened preterm labor.

Authors:  N Prodan; P Wagner; J Sonek; H Abele; M Hoopmann; K O Kagan
Journal:  Ultrasound Obstet Gynecol       Date:  2020-04       Impact factor: 7.299

Review 8.  Cervical assessment by ultrasound for preventing preterm delivery.

Authors:  Vincenzo Berghella; Jason K Baxter; Nancy W Hendrix
Journal:  Cochrane Database Syst Rev       Date:  2013-01-31

9.  Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement.

Authors:  David Moher; Larissa Shamseer; Mike Clarke; Davina Ghersi; Alessandro Liberati; Mark Petticrew; Paul Shekelle; Lesley A Stewart
Journal:  Syst Rev       Date:  2015-01-01

10.  Rayyan-a web and mobile app for systematic reviews.

Authors:  Mourad Ouzzani; Hossam Hammady; Zbys Fedorowicz; Ahmed Elmagarmid
Journal:  Syst Rev       Date:  2016-12-05
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.