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Individualised Therapy for Obstructive Sleep Apnoea: Predictive Models and Anatomical Phenotyping of Mandibular Advancement Devices Responses.
Orthod Craniofac Res
January 2025
Sleep Unit, Department of Stomatology, Faculty of Medicine and Dentistry, University of Valencia, Valencia, Spain.
Objectives: This non-randomised clinical study aimed to identify the phenotypic characteristics that distinguish responders from non-responders. Additionally, it sought to establish a predictive model for treatment response to obstructive sleep apnoea (OSA) using mandibular advancement devices (MAD), based on the analysed phenotypic characteristics.
Material And Methods: This study, registered under identifier NCT05596825, prospectively analysed MAD treatment over 6 years using two-piece adjustable appliances according to a standardised protocol.
On Inclusion of Covariates in Model Based Dose Finding Clinical Trial Designs.
Stat Med
February 2025
MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
There is a growing number of Phase I dose-finding studies that use a model-based approach, such as the CRM or the EWOC method to estimate the dose-toxicity relationship. It is common to assume that all patients will have similar toxicity risk given the dose regardless of patients' individual characteristics. In many trials, however, some patients' covariates (e.
View Article and Find Full Text PDFAllocation Predictability of Individual Assignments in Restricted Randomization Designs for Two-Arm Equal Allocation Trials.
Stat Med
February 2025
Medical University of South Carolina, Charleston, South Carolina, USA.
This manuscript derives the allocation predictability measured by the correct guess probability and the probability of being deterministic for individual treatment assignments, as well as the averages of a randomization sequence, based on the treatment imbalance transition matrix and the conditional allocation probability. The methods described are applicable to restricted randomization designs that satisfy the following criteria: (1) two-arm equal allocation, (2) restriction of maximum tolerated imbalance, and (3) conditional allocation probability fully determined by the observed current treatment imbalance. Analytical results indicate that, for two-arm equal allocation trials, allocation predictability alternates by the odd/even sequence order of the treatment assignment.
View Article and Find Full Text PDFBMAL1 improves assisted reproductive technology outcomes in patients with polycystic ovary syndrome by targeting BMP6 and regulating ovarian granulosa cell apoptosis.
J Assist Reprod Genet
January 2025
Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, Shandong, China.
Purpose: To investigate BMAL1 and BMP6 expressive differences in ovarian granulosa cells (OGCs) of patients with polycystic ovary syndrome (PCOS), explore regulatory relationship, assess their impacts on OGC proliferation and apoptosis, and analyze their correlations with ART outcomes of patients.
Methods: A clinical study selected 40 PCOS patients who underwent IVF/ICSI in our hospital from January to October 2022 and 39 controls with male or tubal factor infertility. RT-qPCR and Western blot assessed BMAL1 and BMP6 mRNA/protein levels.
Treatment of peri-implant mucositis using an Er:YAG laser or an ultrasonic device: a randomized, controlled clinical trial.
Int J Implant Dent
January 2025
Department of Oral Health, Faculty of Oral Health Science, Kristianstad University, 291 88, Kristianstad, Sweden.
Purpose: The study assessed the clinical outcomes following treatment of peri-implant mucositis using Er:YAG laser or an ultrasonic device over six months. Patients' experience of pain, aesthetics, and Quality of life were further assessed.
Methods: One dental implant, per included patient, diagnosed with peri-implant mucositis underwent treatment with an Er:YAG laser (test) or an ultrasonic scaler (control) randomly.
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