Predicting successful intended vaginal delivery after previous caesarean section: external validation of two predictive models in a Dutch nationwide registration-based cohort with a high intended vaginal delivery rate.

Translated title of the contribution: Predicting successful intended vaginal delivery after previous caesarean section: external validation of two predictive models in a Dutch nationwide registration-based cohort with a high intended vaginal delivery rate.

E.N. Schoorel, S. Melman, S.M. van Kuijk, W.A. Grobman, A. Kwee, B.W.J. Mol, J.G. Nijhuis, L. Smits, R. Aardenburg, K. de Boer, F.M. Delemarre, I. van Dooren, M. Franssen, G. Kleiverda, M. Kaplan, S. Kuppens, F Lim, J.M. Sikkema, E. Smid-Koopman, H. VisserF.P. Vrouenraets, M. Woiski, R.P. Hermens, H.C. Scheepers

Research output: Contribution to journalArticleAcademicpeer-review

Translated title of the contributionPredicting successful intended vaginal delivery after previous caesarean section: external validation of two predictive models in a Dutch nationwide registration-based cohort with a high intended vaginal delivery rate.
Original languageUndefined/Unknown
Pages (from-to)840-847
Number of pages8
JournalBJOG - An International Journal of Obstetrics and Gynaecology
Volume121
Issue number7
Publication statusPublished - 2014

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