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01-06-2012 | Maternal-Fetal Medicine

Sonographic cervical length as a predictor of type of delivery after induced labor

Authors: Ana María Gómez-Laencina, Cristina Pages García, Laura Villanueva Asensio, Jose Andrés Guijarro Ponce, Monserrat Solera Martínez, Vicente Martínez-Vizcaíno

Published in: Archives of Gynecology and Obstetrics | Issue 6/2012

Abstract

Purpose

This study was undertaken to evaluate the comparative value of sonographic cervical length and the Bishop score in predicting the type of delivery after induced labor.

Methods

The Bishop score was determined by digital examination and cervical length by transvaginal sonography in 177 women.

Results

The best cut-off points for predicting type of delivery found with ROC curves were 25.2 mm for cervical length and 5 for the Bishop score. The Bishop score was not predictive of type of delivery. Cervical length was related to type of delivery in women with Bishop score ≤5. A logistic regression model showed that only cervical length ≥25.2 mm, parity, and body mass index significantly predicted the likelihood of cesarean delivery.

Conclusions

Our study suggests that both Bishop score and sonographic cervical length can contribute to predicting type of delivery after labor induction, but cervical length is a better predictor of the risk of cesarean delivery.

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Title: Sonographic cervical length as a predictor of type of delivery after induced labor
Authors: Ana María Gómez-Laencina
Cristina Pages García
Laura Villanueva Asensio
Jose Andrés Guijarro Ponce
Monserrat Solera Martínez
Vicente Martínez-Vizcaíno
Publication date: 01-06-2012
Publisher: Springer-Verlag
Published in: Archives of Gynecology and Obstetrics / Issue 6/2012
Print ISSN: 0932-0067
Electronic ISSN: 1432-0711
DOI: https://doi.org/10.1007/s00404-011-2178-1

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Sonographic cervical length as a predictor of type of delivery after induced labor

Abstract

Purpose

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusions

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