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Tumor biomarkers contribute to the diagnosis and clinical management of the O-RADS MRI risk stratification system for epithelial ovarian tumors.
World J Surg Oncol
January 2025
Department of Gynecology, Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing, 210004, China.
Background: To assess the effectiveness of tumor biomarkers in distinguishing epithelial ovarian tumors (EOTs) and guiding clinical decisions across each Ovarian-Adnexal Reporting and Data System (O-RADS) MRI risk category, the aim is to prevent unnecessary surgeries for benign lesions, avoid delays in treating malignancies, and benefit individuals requiring fertility preservation or those intolerant to over-extensive surgery.
Methods: A total of 54 benign, 104 borderline, and 203 malignant EOTs (BeEOTs, BEOTs and MEOTs) were enrolled and retrospectively assigned risk scores. The role of tumor biomarkers in diagnosing and managing EOTs within each risk category was evaluated by combining receiver operating characteristic (ROC) curves with clinicopathological characteristics.
Construction of a troublemaking risk assessment tool for patients with severe mental disorders in community of China.
Sci Rep
January 2025
Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, 214151, Jiangsu, China.
Objective: Construction a troublemaking risk assessment tool to predict the risk of troublemaking for patients with severe mental disorders in the community of China.
Methods: 28,000 cases registered in the Jiangsu Provincial Severe Mental Disorder Management System from January 2017 to December 2019 were collected. The risk factors of troublemaking among patients with severe mental disorders in the community were analyzed through Logistic regression analysis, then the troublemaking risk assessment tool was established and verified.
Implementing a closed loop clinical decision support system for sustainable preoperative care.
NPJ Digit Med
January 2025
Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain.
Unnecessary preoperative testing poses a risk to patient safety, causes surgical delays, and increases healthcare costs. We describe the effects of implementing a fully EHR-integrated closed-loop clinical decision support system (CDSS) for placing automatic preprocedural test orders at two teaching hospitals in Madrid, Spain. Interrupted time series analysis was performed to evaluate changes in rates of preoperative testing after CDSS implementation, which took place from September 2019 to December 2019.
View Article and Find Full Text PDFEffect of implant loading protocols and associated factors on the success rate of implant therapy: A retrospective clinical study.
J Prosthet Dent
January 2025
Assistant Professor, Restorative and Prosthodontic Department, The Ohio State University College of Dentistry, Columbus, OH.
Statement Of Problem: Although immediate implant loading has shown promising clinical results and high survival rates, an increased risk of implant failure and complications has been reported. Achieving consistently predictable outcomes with this approach remains a challenge, but evidence-based guidelines to assist in selecting suitable patients are lacking.
Purpose: The purpose of this retrospective clinical study was to investigate the success rate, survival rate, and complications of immediate implant loading compared with early and delayed loading.
Protocol for optimizing robot-assisted autism therapy sessions through gaze analysis: A pilot study investigating optimal trial count for children with comorbid autism spectrum disorder and intellectual disability.
J Intellect Disabil
January 2025
Pro Vice Chancellor, Staffordshire University, UK.
Background: Autism spectrum disorder poses challenges in social communication and behavior, while Intellectual disabilities are characterized by deficits in cognitive, social, and adaptive skills, frequently accompanied by stereotypies and challenging behaviors. Despite the progress made in autism spectrum disorder research, there is often a lack of research focusing on individuals with co-occurring autism spectrum disorder and intellectual disability. Robot-assisted autism therapies are effective in addressing these needs.
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