Perinatal outcomes in RhD-negative pregnant women in Japan. [PDF]
Takahashi K+47 more
europepmc +1 more source
Pharmacokinetics of betamethasone in pre‐eclampsia: An in vivo and ex vivo study
Aims To enhance understanding of betamethasone and its metabolites' pharmacokinetics in pregnancy, specifically early‐onset pre‐eclampsia, through a population pharmacokinetic model. Additionally, to investigate the placental metabolism and transfer of betamethasone and its main metabolites.
Sam Schoenmakers+15 more
wiley +1 more source
Pseudo-Membranous Enteritis from a Gynecological Standpoint [PDF]
Monod
openalex +1 more source
"High-stress, conscientiousness and positive coping": correlation analysis of personality traits, coping style and stress load among obstetrics and gynecology female nurses and midwives in twenty-one public hospitals in Southern China. [PDF]
Ye Q, Zhong K, Yuan L, Huang Q, Hu X.
europepmc +1 more source
Aims The incidence of postmenopausal bleeding (PMB) has been increasing over the past years. Little is known about the risk of PMB after COVID‐19 vaccination. Our study aimed to investigate this based on routine general practitioner (GP) healthcare data from the Netherlands.
Rana Jajou+5 more
wiley +1 more source
Papilliferous syringocystadenoma in the vulva: a rare occurrence in gynecology. [PDF]
Benlghazi A+7 more
europepmc +1 more source
The Known and Unknown About Female Reproductive Tract Mucus Rheological Properties
Mucus viscosity changes as spermatozoa travel through the female reproductive tract to the egg in humans, bovines, mice, and other mammals. These changes may aid in spermatozoa navigation. However, limited information is available on the viscoelastic properties of female reproductive tract mucus, and consistent measurement techniques are lacking ...
Luke Achinger+19 more
wiley +1 more source
Medical Bondage: Race, Gender, and the Origins of American Gynecology
D. C. Owens
semanticscholar +1 more source
Author Correction: Partner relationships, hopelessness, and health status strongly predict maternal well-being: an approach using light gradient boosting machine. [PDF]
Ooba H, Maki J, Tabuchi T, Masuyama H.
europepmc +1 more source