Prediction of small-for-gestational-age neonates at 33–39 weeks’ gestation in China: logistic regression modeling of the contributions of second- and third-trimester ultrasound data and maternal factors

OBJECTIVES: A screening model for prediction of small-for-gestational-age (SGA) neonates (SGAp) was established by logistic regression using ultrasound data and maternal factors (MF). We aimed to evaluate the ability of SGAp as well as abdominal circumference (AC) and estimated fetal weight (EFW) me...

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Detalles Bibliográficos
Autores principales: Xu, Danping, Shen, Xiuzhen, Guan, Heqin, Zhu, Yiyang, Yan, Minchan, Wu, Xiafang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413926/
https://www.ncbi.nlm.nih.gov/pubmed/36008794
http://dx.doi.org/10.1186/s12884-022-04991-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413926/
https://www.ncbi.nlm.nih.gov/pubmed/36008794
http://dx.doi.org/10.1186/s12884-022-04991-7

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