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Developing and validating a risk prediction model for caesarean delivery in Northwest Amhara comprehensive specialized hospitals

Abstract Despite its benefit in improving outcomes, emergency cesarean delivery is not without maternal and neonatal risks. Early identification of a laboring woman’s risk of cesarean delivery is crucial for reducing complications associated with cesarean delivery. Therefore, this study aimed to dev...

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Principais autores: Mulat Ayele, Eyob Shitie Lake, Befkad Derese Tilahun, Gizachew Yilak, Abebaw Alamrew, Getinet Kumie, Tegene Atamenta Kitaw, Biruk Beletew Abate, Getnet Gedefaw Azeze, Nigus Bililign Yimer
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2025-07-01
coleção:BMC Pregnancy and Childbirth
Assuntos:
Caesarean delivery
Prediction model
Internal validation
Nomogram
Decision curve analysis
Ethiopia
Acesso em linha:https://doi.org/10.1186/s12884-025-07822-7
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