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Predictors and Outcomes of Extubation Failure in Preterm Neonates: A Systematic Review.
Pediatrics
January 2025
Division of Neonatology, Department of Pediatrics, McMaster University, Hamilton, ON, Canada.
Context: Extubation failure (EF) is common in preterm neonates and may be associated with adverse outcomes.
Objective: To systematically review and meta-analyze the existing literature on predictors and outcomes of EF in preterm neonates.
Data Sources: MEDLINE, Epub Ahead of Print, In-Process & Other Non-Indexed Citations, Embase (OvidSP), CINAHL (EBSCOHost), and Cochrane Library (Wiley) from 1995 onward.
The prevalence of relative age effects in a nationwide analysis of racket sports: Happy birthday?
PLoS One
January 2025
Department of Coaching Education, Akdeniz University, Antalya, Türkiye.
Relative age effects (RAEs) refer to all consequences of chronological age-based systems. The purpose of this study was to investigate the prevalence of RAEs among Turkish racket sports players. As a nationwide analysis, the present study extends beyond the typical investigations of elite-level popular sports by examining RAEs in racket sports players from the lowest grassroots level to the top and from children to veteran athletes.
View Article and Find Full Text PDFComparative analysis of estimated age by pulp-to-tooth area ratio using CBCT in three different teeth on a subset of Hyderabad population: A preliminary study.
J Forensic Odontostomatol
December 2024
Department of Oral Medicine and Radiology, Army College of Dental Sciences.
Objectives: The study aims to evaluate the pulp-to-tooth area ratio in permanent maxillary central incisors, lateral incisors, and canines for age estimation using three-dimensional cone beam computed tomography images.
Methods: Hundred cone-beam computed tomography (CBCT) images of patients aged between 12-70 years were retrospectively studied using NNT Viewer software version 13. Pulpal and teeth area were evaluated with the "area tool" in the acquired images in all three planes, and the pulp-to-tooth area ratio (PTR) was calculated with the measurements obtained.
Chronological age (CA) estimation is essential in medicine, forensics, and law. Teeth are often used for this due to their reliability. The Demirjian and the Nolla methods are used to estimate dental age (DA).
View Article and Find Full Text PDFDo machine learning methods solve the main pitfall of linear regression in dental age estimation?
Forensic Sci Int
December 2024
Center of Epidemiology, Biostatistics and Medical Information Technology, Department of Biomedical Sciences and Public Health, Università Politecnica delle Marche, Ancona 60126, Italy.
Introduction: Age estimation is crucial in forensic and anthropological fields. Teeth, are valued for their resilience to environmental factors and their preservation over time, making them essential for age estimation when other skeletal remains deteriorate. Recently, Machine Learning algorithms have been used in age estimation, demonstrating high levels of accuracy.
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