Results 241 to 250 of about 241,631 (348)
ABSTRACT Objective To evaluate the association between prenatal exposure to opioids analgesics and academic performance in third grade children. Design Population‐based cohort study using linked data from New South Wales birth records, medicine dispensing data, and national standardised test results.
Bianca Varney +7 more
wiley +1 more source
Cerebral palsy and perinatal mortality in children born in Norway to immigrant mothers. [PDF]
Sigholt MW +5 more
europepmc +1 more source
ABSTRACT Objective Long‐term child outcomes after intra‐uterine exposure to 17‐alpha‐hydroxyprogesterone caproate (17‐OHPC) versus placebo. Design Follow‐up of the AMPHIA randomised controlled trial assessing neonatal outcomes after weekly 17‐OHPC injections compared to placebo in multiple pregnancies. Setting Multicentre. Population or Sample Children
Emilie V. J. van Limburg Stirum +14 more
wiley +1 more source
Change in the Primary Measure of Perinatal Mortality for Vital Statistics.
Gregory ECW +3 more
europepmc +1 more source
Timing of Delivery in Preeclampsia: Time to Reconsider?
BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
Rebecca Horgan +5 more
wiley +1 more source
Bariatric Surgery, Gestational Diabetes and Perinatal Outcomes: A Population‐Based Study
ABSTRACT Objective To examine the independent and combined associations of metabolic and bariatric surgery (MBS) and gestational diabetes mellitus (GDM) with adverse maternal and neonatal outcomes. Design Population‐based retrospective cohort study. Setting New South Wales (NSW), Australia.
Tessa Weir +7 more
wiley +1 more source
Predictors of perinatal mortality in Ghana: a systematic review protocol. [PDF]
Punguyire D, Abiiro GA, Koray MH.
europepmc +1 more source
ABSTRACT Background Pre‐eclampsia is a leading cause of maternal and perinatal morbidity and mortality, with risk factors reported across a vast literature base fragmented between social and clinical factors. Objective To develop a comprehensive conceptual framework of the strongest risk factors and their relationships contributing to pre‐eclampsia ...
Mai Lei Woo Kinshella +87 more
wiley +1 more source
A machine learning based variable selection algorithm for binary classification of perinatal mortality. [PDF]
Sadiq M, Shah R.
europepmc +1 more source

