Results 251 to 260 of about 4,251,743 (354)

Obstetrical outcomes in pregnant patients following a gluten‐free diet: A prospective cohort study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Concerns have been raised about the nutritional adequacy of a gluten‐free (GF) diet during pregnancy, specifically in the absence of celiac disease, and its impact on fetal development. The objective of this study was to investigate the association between a GF diet during pregnancy and obstetrical outcomes, with further sensitivity ...
Amelia Srajer   +8 more
wiley   +1 more source

Hysterectomy for placenta accreta spectrum disorder: Impact of institutional surgical volume on patient outcomes

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective To evaluate trends in hysterectomy case volume for placenta accreta spectrum (PAS) disorder over time and compare maternal outcomes between high‐ and low‐volume centers. Specifically, we examined whether surgical volume influences severe maternal morbidity (SMM) and other key perioperative outcomes.
Lacey C. Brennan   +9 more
wiley   +1 more source

Prenatal diagnosis and pregnancy outcomes of mosaicism detected by CMA-seq. [PDF]

open access: yesBMC Pregnancy Childbirth
Chang J   +7 more
europepmc   +1 more source

Lymph‐based liquid biopsy: Current progress and future potential

open access: yesInterdisciplinary Medicine, EarlyView.
Recent evidence under the revised Starling principle indicates that lymph‐based liquid biopsies may offer superior diagnostic performance over blood‐based counterparts in certain clinical scenarios, such as early‐stage solid tumor detection. Currently, various biomarkers within the lymphatic system show significant diagnostic potential for a range of ...
Dongdong Liu   +6 more
wiley   +1 more source

Prenatal diagnosis of Apert syndrome with continuation of pregnancy-a report of two cases. [PDF]

open access: yesTransl Pediatr
Vida MVG   +6 more
europepmc   +1 more source

Modeling Factors Associated With Diarrhea Caused by Cryptosporidium Species Using Machine Learning Methods

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
This study applies machine learning methods, specifically Random Forest and Bagged CART, to classify Cryptosporidium spp. infections among children and identify key risk factors. The Bagged CART model demonstrated superior sensitivity and predictive performance, highlighting household crowding and water source as the most influential determinants of ...
Türkan Mutlu Yar   +2 more
wiley   +1 more source

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