Prediction models for determining the success of labor induction: A systematic review

Acta Obstetricia Et Gynecologica Scandinavica
Kennedy MeierRohan D'Souza

Abstract

The purpose of this study was to systematically identify and compare clinical models using universally accessible clinical and demographic factors that were derived and/or validated to predict the success of labor induction with a view to making recommendations for practice. MEDLINE, Embase, www.clinicaltrials.gov, and PubMed (for non-MEDLINE and studies in-progress) were searched from inception to November 2017. Only studies that derived and/or validated clinical prediction models using variables obtained through antenatal history and digital cervical examination were included. Two reviewers independently screened titles and abstracts and extracted data from eligible studies into a standardized form. Extracted data included: participant characteristics, sample size, variables considered and included, endpoint definitions, study design and model performance. The Prediction Study Risk of Bias Assessment Tool (PROBAST) was used to appraise included studies. In view of clinical and methodologic heterogeneity between studies, only descriptive analysis was possible. The protocol was registered with the PROSPERO International prospective register of systematic reviews [CRD42017081548]. The search identified 16 studies describing 14 p...Continue Reading

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Citations

Dec 11, 2019·Journal of Women's Health·Mary Catherine Tolcher
Nov 15, 2019·F1000Research·Anna Maria Marconi
May 18, 2020·Archives of Gynecology and Obstetrics·Nasreen Haj-YahiaNetanella Miller
Jul 2, 2020·BMC Pregnancy and Childbirth·Susan DongRohan D'Souza
Apr 18, 2019·BMC Pregnancy and Childbirth·Sepand AlavifardRohan D'Souza
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Jun 24, 2020·Journal of Obstetric, Gynecologic, and Neonatal Nursing : JOGNN·Marit L Bovbjerg, Melissa Cheyney
Apr 29, 2021·Scientific Reports·Jakub MlodawskiStanisław Gluszek
Sep 25, 2021·BJOG : an International Journal of Obstetrics and Gynaecology·N López-JiménezA Hernández-Martínez

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