Immediate implant placement in damaged extraction sockets: a systematic review and meta-analysis of randomized controlled trials.

Objectives: The aim of this study was to observe whether immediate implant placement (IIP) into damaged extraction sockets is a successful modality for treating hopeless teeth that require extraction.

Data Source: An electronic search was carried out through four databases (PubMed/MEDLINE, Web of Science, Scopus, and ScienceDirect) to identify randomized controlled trials (2013-2023) to understand whether IIP in damaged sockets is a successful treatment. The focus question was, 'In a patient with a hopeless tooth that needs extraction with the indication for dental implant treatment, is IIP in damaged extraction sockets, compared to undamaged sockets or healed sites, an effective method for the replacement of hopeless teeth and achieving a favorable clinical result?' The risk of bias was appraised and a meta-analysis using random effect was applied.

Vestibular Impairment and Postural Development in Children With Bilateral Profound Hearing Loss.

Importance: Children with profound hearing loss (HL) and vestibular impairment have worse cochlear implant outcomes compared with those without vestibular impairment. However, the decision for cochlear implantation is rarely based on vestibular function assessment as a complement to audiologic testing.

Objectives: To identify the prevalence of vestibular impairment according to HL origin and to assess the association between vestibular impairment and delayed posturomotor development in children with profound HL.

Cervical vestibular evoked myogenic potentials in healthy children: Normative values for bone and air conduction.

Objectives: To characterize cervical vestibular evoked myogenic potentials (c-VEMPs) in bone conduction (BC) and air conduction (AC) in healthy children, to compare the responses to adults and to provide normative values according to age and sex.

Design: Observational study in a large cohort of healthy children ( = 118) and adults ( = 41). The c-VEMPs were normalized with the individual EMG traces, the amplitude ratios were modeled with the Royston-Wright method.

Ataxic speech disorders and Parkinson's disease diagnostics via stochastic embedding of empirical mode decomposition.

Medical diagnostic methods that utilise modalities of patient symptoms such as speech are increasingly being used for initial diagnostic purposes and monitoring disease state progression. Speech disorders are particularly prevalent in neurological degenerative diseases such as Parkinson's disease, the focus of the study undertaken in this work. We will demonstrate state-of-the-art statistical time-series methods that combine elements of statistical time series modelling and signal processing with modern machine learning methods based on Gaussian process models to develop methods to accurately detect a core symptom of speech disorder in individuals who have Parkinson's disease.