Results 191 to 200 of about 938,342 (303)

The rising tide: Trends in induction of labor at term over a 5‐year period at a single centre

open access: yesInternational Journal of Gynecology &Obstetrics, Volume 169, Issue 1, Page 383-390, April 2025.
Abstract Objective Induction of labor (IOL) is a controversial topic in contemporary obstetric practice, with some suggesting that the increase in elective induction (eIOL) as a potential contributor to increasing cesarean delivery (CD) rates. The objectives of this single‐center study were to examine the rates of IOL, trends in indications for IOL ...
Sarah M. Nicholson   +7 more
wiley   +1 more source

Group A streptococcal infections in Alberta, Canada 2018-2023. [PDF]

open access: yesEpidemiol Infect
Tyrrell GJ   +5 more
europepmc   +1 more source

Vaccinations in pregnancy: An update for a changing time

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Maternal immunization is one of the most effective public health interventions to reduce infectious morbidity and mortality in pregnant women, fetuses, and newborns. Despite robust evidence supporting vaccine safety and effectiveness in pregnancy, global uptake has declined following the COVID‐19 pandemic, contributing to resurgent outbreaks ...
Wendy Hodge   +11 more
wiley   +1 more source

Postpartum febrile morbidity following vacuum‐assisted birth: A retrospective cohort study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To evaluate whether vacuum‐assisted birth (VAB) independently increases the risk of postpartum febrile morbidity, identifying a potentially modifiable contributor to maternal infectious morbidity. Methods This retrospective cohort study was conducted at a university‐affiliated tertiary maternity center between 2011 and 2023.
Itamar Gilboa   +5 more
wiley   +1 more source

Addressing the Abundance Paradox Through Topology‐Guided Graph Learning for Cross‐Cohort Classification of Type 2 Diabetes

open access: yesiMetaMed, EarlyView.
By shifting from highly variable taxonomic abundance to conserved ecological network topologies, our Dual‐Stream Graph Attention Network (DS‐GAT‐CP) resolves the “abundance paradox,” enabling highly accurate and cross‐regionally robust non‐invasive screening for Type 2 Diabetes. ABSTRACT Gut microbiome‐based machine learning models for Type 2 Diabetes (
Changjian Wu   +4 more
wiley   +1 more source

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