View clinical trials related to Disease.
Filter by:The current study examines the effectiveness of the StayFine app for relapse prevention of anxiety or depressive disorders in youth using a randomized controlled trial. In addition, ecological momentary assessment (EMA) is used to explore fluctuations in emotions, psychological factors as predictor of the intervention effect and potential differential mechanisms of change. A total of 254 healthy youths remitted from an anxiety and/or depressive disorder, aged 13-21 years old, will be recruited for the study. Participants will be randomized to either 1) use the StayFine app exclusively for monitoring, or 2) use the StayFine app for monitoring and interventions supported by an expert patient. Stratification blocks are of random size and depend on previous episodes (1/2/3 or more) and previous treatment (yes/no). The intervention is based on the well-established Preventive Cognitive Therapy (PCT) for relapse prevention for adults and Cognitive Behavioral therapy adapted for the relapse prevention phase, both supplemented for anxiety and adolescents. In both conditions adolescents monitor their symptoms five times in three years and feedback and treatment advice is given in case of relapse. The primary outcome will be time to relapse. Secondary outcomes are (core) symptoms of depression and anxiety, number and duration of relapses, global functioning and quality of life. Mediators and moderators will be explored. Exploratory endpoints are monitoring and wearable outcomes.
This study will aim to test whether specific neural circuitry changes, proposed on the basis of a neurocognitive model of anxiety, are a mechanism of action for Cognitive Behavioural Therapy (CBT) interventions. This study aims to provide a theoretical model of the neurobiological mechanisms of CBT's therapeutic effect, where there currently is none, and potentially allow for more targeted/specific approaches to anxiety disorders following the identification of key CBT mechanisms. The ultimate aim is to improve the efficacy of CBT, and more generally, psychological interventions for anxiety disorders.
This study will examine the pain-relieving effects of a transcutaneous electrical nerve stimulator device called a Quell for persons with multiple chronic overlapping pain conditions.
This registry has the following objectives. First, according to the guidance of 2021 WHO of CNS classification, we constructed and externally tested a multi-task DL model for simultaneous diagnosis of tumor segmentation, glioma classification and more extensive molecular subtype, including IDH mutation, ATRX deletion status, 1p19q co-deletion, TERT gene mutation status, etc. Second, based on the same ultimate purpose of liquid biopsy and radiomics, we innovatively put forward the concept and idea of combining radiomics and liquid biopsy technology to improve the diagnosis of glioma. And through our study, it will provide some clinical validation for this concept, hoping to supply some new ideas for subsequent research and supporting clinical decision-making.
Current research on the pathogenesis of depression shows that imbalanced inflammatory factors are closely related to Major Depressive Disorder(MDD). As reported, physical exercise, Ω-3 fatty acids, and sulforaphane can be complementary therapies for moderate-to-severe depression. In addition, imaging studies have found changes in the structure and functional connectivity of the brain. Therefore, this study intends to collect clinical and biological information from patients with depression and healthy controls to establish a multi-factor model for early warning and diagnosis of major depressive disorder
Cognitive impairment often appears in neurodegenerative diseases, and it is expected to further study the mechanism of sleep disorders associated with the progression of neurodegenerative diseases by exploring the clinical manifestations, imaging, and biological marker changes of sleep disorders in neurodegenerative diseases.
Traditional Chinese medicine has a long history of disease diagnosis applications by pulse diagnosis. The pulse "position", "number", "shape", and "momentum" can be used as four guidelines for pulse classification. However, the finger feeling is difficult to be expressed in a quantitative approach for clinical teaching and illness-state recognition. The pressure sensor was applied to measure wrist pulse waveforms for analysis. In this research project, the "discrete wavelet transformation (DWT)" is used to decompose the time-domain pulse into several sets of signals, which are allocated at different frequency bands. The high-frequency signal over the range of 12-50 Hz is then acquired to calculate the spectral energy ratio (SER) for quantization of the pulse momentum to the persons under the suboptimal health status (SHS).
Background: Obesity is considered an epidemic disease of great repercussion on the world and its prevalence has increased in recent decades. The treatment of obesity aims to improve health and quality of life, by reducing body weight. The clinical approach to obesity is routinely the first line of treatment. Clinical treatment usually involves a combination of restriction of caloric intake, modification of behavior and habits, regular practice of physical activity and pharmacotherapy. Clinical treatment of obesity leads to considerable weight loss, but often not sustained in most patients. This long-term sustained weight loss is an attribute of bariatric surgery, since severe obesity remains largely refractory to dietary and drug therapy. Changes in lifestyle that occur in severely obese patients undergoing bariatric surgery, especially in terms of food, lead to the need for the contribution of speech therapy to adapt to the new way of ingesting food. Objectives: to analyze the stomatognathic functions of mastication and swallowing and to verify the effectiveness of orofacial motricity stimulation in adults, severely obese before and after bariatric surgery. Methods: This is a randomized, controlled clinical trial involving severely obese adult patients of both sexes referred for bariatric surgery. This study was approved by the Research Ethics Committee of the Centro Universitário Fundação Assis Gurgacz (FAG) in the city of Cascavel (PR), Brazil, protocol number CEP FAG no. 4,169,295. Patients will be consecutively recruited from the Bariatric Surgery Department of Hospital São Lucas (FAG) and referred to the Speech Therapy Clinic according to the eligibility criteria of the research protocol. After the initial assessment, patients will be randomly assigned to an intervention group (MOG) and a control group (COG). The COG and MOG groups will be evaluated before and after bariatric surgery. Only the GMO will be submitted to the speech therapy training program before bariatric surgery. The myofunctional characteristics will be evaluated through the Orofacial Myofunctional Assessment protocol with Scores (AMIOFE). The AMIOFE protocol was designed according to the assessment models that reflect the physical characteristics and orofacial behaviors of individuals. In this way, the components and functions of the stomatognathic system will be evaluated in terms of appearance/posture, mobility and swallowing functions - liquid and solid - chewing and breathing.
Tobacco use is a risk factor for at least 20 types of cancer and remains the leading preventable cause of cancer in Canada. Smoking cessation is an important cancer prevention strategy for the close to 2 million Canadian women who currently smoke. However, findings from controlled trials and real-world clinical settings indicate that women have greater difficulty achieving abstinence following a quit attempt than men. There is some evidence that hormonal levels and fluctuations throughout the menstrual cycle (MC) may contribute to the greater difficulty women experience when trying to quit smoking. In this study, the start of a quit attempt using nicotine replacement therapy (NRT) will be targeted to specific phases of MC. It was hypothesized that starting a quit attempt during the first half of MC (follicular phase) will result in increased quit success compared to starting during the second half of MC (luteal phase) or the usual practice of not targeting quit start date to MC phase.
One-fifth of all men will develop clinically significant prostate cancers (CsPC) in their lifetime. An estimated 268,490 new prostate cancer (PCa) cases and 34,500 deaths are expected in the United States during the year 2022, making PCa the second most common cause of cancer-related deaths in men. MRI with the Prostate Imaging Reporting and Data System (PI-RADS) is a current widely used communicative tool for both CsPC detection and guiding targeted prostate biopsy. The high level of expertise required for accurate interpretation and persistent inter-reader variability has limited consistency and it has hindered the widespread adoption of PI-RADS. Artificial intelligence (AI) shows a broad prospect for medical interpretation and triage in various challenging tasks , including the PCa detection and staging with MRI. While rapid technical advances are furthering the application of AI medical imaging, their implementation in clinical practice remains a major hurdle. Besides, the prospect of data-derived AI tool is to assist human experts rather than replace them, and whether AI can match or exceed the human experts is still a matter of debate. Therefore, despite strong potential, there is urgent need for research to better quantify the accuracy, generalizability and clinical applicability before the clinical use of an AI in a real-world clinical setting.