Cognitive models of posttraumatic stress disorder (PTSD) implicate interpretation biases as a maintaining factor of symptoms. Existing measures index symptoms and negative beliefs in PTSD patients, but not threatening interpretation of socially-ambiguous information, which would further inform cognitive models of PTSD. Here we describe the development of a measure of interpretation bias specific to individuals with PTSD. Studies 1 and 2 utilized analog samples to identify the smallest set of items capable of differentiating PTSD-specific interpretation biases. Study 3 utilized a clinical sample to examine the factor structure of the 9-item Interpretation Bias Index for PTSD (IBIP). A bifactor model fit the IBIP best, comprising a general PTSD factor and two subfactors. The IBIP was most strongly related to PTSD symptoms and demonstrated sensitivity and specificity to detecting true PTSD cases. The IBIP has potential clinical utility for tracking interpretation bias in PTSD, or even screening for PTSD diagnoses.
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http://dx.doi.org/10.1007/s10608-018-9915-8 | DOI Listing |
J Clin Periodontol
January 2025
Perio-Implant Innovation Center, Institute for Integrated Oral, Craniofacial and Sensory Research and Department of Oral and Maxillofacial Implantology and National Clinical Research Center of Stomatology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Aim: To evaluate the diagnostic accuracy of an active matrix metalloproteinase-8 (aMMP-8) point-of-care oral rinse test (POC-ORT) for predicting periodontitis in treatment-naïve subjects in two independent studies and update a recent meta-analysis.
Methods: The aMMP-8 POC-ORT index test was performed in a representative population in Hong Kong, China, and a consecutive convenience sample in Shanghai, China. The reference standard was the 2017 World Workshop classification of periodontal diseases.
Phys Eng Sci Med
January 2025
School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.
Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting and evaluating the most suitable solution. To support the clinical adoption of AI auto-segmentation systems, Selection Criteria recommendations were developed to enable a holistic evaluation of vendors, considering not only raw performance but associated risks uniquely related to the clinical deployment of AI.
View Article and Find Full Text PDFCochrane Database Syst Rev
January 2025
Cochrane Switzerland, c/o Cochrane Germany Foundation, Freiburg, Germany.
Background: Chronic diseases are the leading cause of mortality and morbidity worldwide. Much of this burden can be prevented by adopting healthy behaviours and reducing chronic disease risk factors. Settings-based approaches to address chronic disease risk factors are recommended globally.
View Article and Find Full Text PDFJ Clin Exp Hepatol
November 2024
Faculty of Medicine, Tanta University, Tanta, Egypt.
Background: Inherited cholestatic liver disorders such as progressive familial intrahepatic cholestasis (PFIC) and Alagille syndrome result in significant pruritus and increased serum bile acids, necessitating liver transplantation. This study aims to evaluate the efficacy and safety of Ileal bile acid transport inhibitors (IBATIs) in children with PFIC and Alagille syndrome.
Methods: We conducted a comprehensive search across the databases to identify relevant randomized controlled trials (RCTs), and Covidence was used to screen eligible articles.
EClinicalMedicine
January 2025
College of Competitive Sports, Beijing Sport University, Beijing, China.
Background: Given the distinctive physiological characteristics of pregnant women, non-pharmacological therapies are increasingly being used to improve depressive and anxiety symptoms. Our objective was to explore and compare the impact of various non-pharmacological interventions in improving depressive and anxiety symptoms, and to identify the most effective strategies for pregnant women with depressive and/or anxiety symptoms.
Methods: We conducted a systematic search of PubMed, Embase, the Cochrane Library, and Web of Science for randomized controlled trials (RCTs) that compared non-pharmacological interventions to usual care, from the inception of each database up to October 5, 2024.
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