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Browse 2,150 clinical trials for prostate cancer. Find studies that match your criteria and connect with research centers.
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NCT06366308
Prostate cancer (PCa) remains one of the most prevalent malignancies affecting men globally. The disease spectrum of PCa ranges from indolent tumors, which may require minimal to no intervention, to aggressive, potentially lethal forms. The complexity of PCa underscores the critical need for precise diagnostics, as early and accurate detection is key to improving patient outcomes and tailoring appropriate treatment strategies. There have been remarkable advancements in biopsy technology. Significant strides in magnetic resonance imaging (MRI), especially with the establishment of the Prostate Imaging Reporting and Data System (PI-RADS), have substantially improved the accuracy of PCa detection. The combination of MRI with traditional biopsy methods, including MRI-targeted biopsy (MRI-TBx) and systematic biopsy (SBx), also marks a major advancement in the field. Despite advances in PCa detection, the need for improving diagnostics and in-depth assessment of the latest PBx techniques through extensive, longitudinal studies remains critical. Besides, based on the world health organization (WHO) classification, PCa includes a range of pathological forms beyond the commonly known acinar adenocarcinoma. However, the prevalence and demographic distribution of non-adenocarcinoma types, as well as the characteristics of patients with these rarer forms, remain unclear. Leveraging PBx records spanning over 10 years and involving 10,038 cases, this study aims to shed light on temporal trends in PBx positivity, the evolving clinical profiles of PCa patients, and the differences in clinicopathological characteristics of PCa between Western and Asian populations.
NCT04260737
Prostate cancer is the second leading cause of cancer related deaths in the western world (National Cancer Institute, 2011). Prostate cancer diagnosis relates to significant psychological distress (Roesch et al, 2005; Hervouet et al, 2005). The management options available for men with localized prostate cancer typically offer similar survival rate and one treatment has not been determined more effective than other. Variance in severity, duration and frequency of side effects between treatments is considerable (National Cancer Institute, 2011). This can make the choice between management options challenging and distressing. Researches show that patients that are actively involved and provided with sufficient information have better health outcomes (Stewart, 1995). The study involves implementing interactive, web-based decision-aid to assist men with localized prostate cancer with their decision regarding their prostate cancer management options. Participants will be randomized to standard-care (SC) and SC + interactive decision-aid (IDA). The SC group will meet with their urologist and receive and information brochure. In addition the IDA group will receive a website that includes a wealth of information (e.g., overview about prostate cancer, overview of different treatment options, pros and cons of different treatment options and a value clarification exercise that is designed to assist participants to weigh the risks and benefits of each prostate cancer management option). The effectiveness of the intervention will be evaluated with questionnaires administered prior to randomization (baseline) and then again two weeks, one, three and six months after the randomization. Aim 1. Evaluate the relative impact of SC versus SC + IDA on medical decision making. It is hypothesized that participants randomized to the SC + IDA arms will have improved decision making (e.g., reduced decisional conflict) and psychosocial outcomes (e.g., distress), compared to those randomized to SC only. Aim 2. Identify mechanisms by which the interventions impact patient outcomes. It is hypothesized that: 1) improved decision making and psychosocial outcomes for the IDA arms will be mediated by increased knowledge; 2) participants who are undecided about the treatment decision and those that have information-seeking decision styles will benefit most from the decision-aid interventions.