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Prediction of Emergency Cesarean Section Using Detectable Maternal and Fetal Characteristics Among Saudi Women
BACKGROUND: The worldwide rate of cesarean section (CS) is increasing. Development of prediction models for a specific population may improve the unmet need for CS as well as reduce the overuse of CS. OBJECTIVE: To explore risk factors associated with emergency CS, and to determine the accuracy of p...
Autores principales: | Wahabi, Hayfaa, Fayed, Amel, Elmorshedy, Hala, Esmaeil, Samia Ahmad, Amer, Yasser S, Saeed, Elshazaly, Jamal, Amr, Aleban, Sarah A, Aldawish, Reema Abdullah, Alyahiwi, Lara Sabri, Abdullah Alnafisah, Haya, AlSubki, Raghad E, Albahli, Norah khalid, Almutairi, Aljohara Ayed |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422959/ https://www.ncbi.nlm.nih.gov/pubmed/37576185 http://dx.doi.org/10.2147/IJWH.S414380 |
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