Induction of labour for suspected macrosomia at term in non-diabetic women: a systematic review and meta-analysis of randomized controlled trials.

Publication/Presentation Date

2-1-2017

Abstract

BACKGROUND: Several randomized controlled trials (RCTs) compared induction of labour with expectant management in non-diabetic women with suspected fetal macrosomia.

OBJECTIVE: To evaluate the effects of labour induction for suspected fetal macrosomia.

SEARCH STRATEGY: Literature search in electronic databases.

SELECTION CRITERIA: We included all RCTs of suspected fetal macrosomia comparing labour induction with expectant management in term pregnancy.

DATA COLLECTION AND ANALYSIS: The primary outcome was the incidence of caesarean delivery.

MAIN RESULTS: Four RCTs, including 1190 non-diabetic women with suspected fetal macrosomia at term, were analysed. Pooled data did not show a significant difference in incidence of caesarean delivery [relative risk (RR) 0.91, 95% confidence interval (CI) 0.76-1.09], operative and spontaneous vaginal delivery, shoulder dystocia, intracranial haemorrhage, brachial plexus palsy, Apgar score < 7 at 5 min, cord blood pH < 7, and mean birth weight comparing women who received induction of labour with those who were managed expectantly. The induction group had a significantly lower time to delivery (mean difference -7.55 days, 95% CI -8.20 to -6.89), lower rate of birth weight ≥4000 g (RR 0.50, 95% CI 0.42-0.59) and ≥4500 g (RR 0.21, 95% CI 0.11-0.39), and lower incidence of fetal fractures (RR 0.17, 95% CI 0.03-0.79) compared with expectant management group.

CONCLUSION: Induction of labour ≥38 weeks for suspected fetal macrosomia is associated with a significant decrease in fetal fractures, and therefore can be considered as a reasonable option. TWEETABLE ABSTRACT: #Induction of labour for #macrosomia improves neonatal outcome.

Volume

124

Issue

3

First Page

414

Last Page

421

ISSN

1471-0528

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

27921380

Department(s)

Administration and Leadership

Document Type

Article

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