There are about 21062 clinical studies being (or have been) conducted in Italy. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
Background: Emerging evidence indicates that patients with advanced cancer, such as those with MBC, often exhibit significant levels of nonadherence to oral anticancer treatments. Leveraging of the machine learning models in clinical practice enables the provision of personalized predictions on medication adherence for individual patients, thereby supporting adherence and facilitating targeted interventions. Objective: The current protocol aims to assess the efficacy of the DSS, a web-based solution named TREAT (TREatment Adherence SupporT), and a machine learning web application in promoting adherence to oral anticancer treatments within a sample of MBC patients. Methods and Design: This protocol is part of a project titled "Enhancing Therapy Adherence Among Metastatic Breast Cancer Patients" (Tracking Number 65080791). A sample of 100 MBC patients is enrolled consecutively and admitted to the Division of Medical Senology of the European Institute of Oncology. 50 MBC patients receive the DSS for three months (experimental group), while 50 MBC patients not subjected to the intervention receive standard medical advice (control group). The protocol foresees three assessment time points: T1 (1-Month), T2 (2-Month), and T3 (3-Month). At each time point, participants fill out a set of self-reports evaluating adherence, clinical, psychological, and QoL variables. Conclusions: our results will inform about the effectiveness of the DSS and risk-predictive models in fostering adherence to oral anticancer treatments in MBC patients.
The purpose of this study is to evaluate the efficacy and safety of MK-6194 in adult participants with Systemic Lupus Erythematosus. The primary hypothesis is that at least 1 of the MK-6194 arms is superior to placebo in the primary endpoint of percentage of participants with systemic lupus erythematosus responder index (SRI-4) response at Week 28.
Hepatitis D is by far the most severe form of chronic viral hepatitis, frequently leading to liver failure, hepatocellular carcinoma and death. Hepatitis D is caused by coinfection Hepatitis D is caused by co-infection with hepatitis B virus (HBV) and hepatitis D virus (HDV). This multicenter cohort should enable a comprehensive and unbiased biomarker screening of well-defined HDV-infected patients, followed by mechanistic studies to determine the functional role of distinct molecules. Patient surveillance strategies and antiviral treatment approaches could be personalized which should reduce clinical and social disease burden, improve quality of life and save direct and indirect costs caused by HDV infection.
The goal of this clinical trial is to evaluate the diagnostic yield of CADe in a consecutive population undergoing colonoscopy. The main question it aims to answer is the Adenoma Detection Rate (ADR). Participants undergoing colonoscopy for follow-up in a screening setting will be randomized in a 1:1 ratio to either receive Computer-Aided Detection (CADe) colonoscopy or a conventional colonoscopy (CC). GI Genius is the AI software that will be used in the present trial and is intended to be used as an adjunct to colonic endoscopy procedures to help endoscopists to detect in real time mucosal lesions (such as polyps and adenomas, including those with flat (non-polypoid) morphology) during standard screening and surveillance endoscopic mucosal evaluations. It is not intended to replace histopathological sampling as a means of diagnosis.Researchers will compare the CADe group and the CC-group to see if CAD-e can increase the ADR significantly.
Neuroendocrine tumors (NETs) constitute approximately 0.5% of malignancies. To date, diagnosis at an increasingly early stage of the disease is possible thanks to recent technological advances in biomedical imaging. In particular, the traditional work-up for these pathologies includes endoscopy, magnetic resonance imaging (MRI) and computed tomography (CT). Furthermore, the integrated positron emission tomography methods (PET/CT and PET/MRI) are innovative molecular imaging techniques and represent a continually expanding field of research in the oncology setting. In particular, PET is taking on an increasingly relevant role for the study of neuroendocrine tumors, also thanks to the introduction of increasingly accurate radiopharmaceuticals (targeted towards somatostatin receptors), thus opening the way to new possibilities for the diagnosis andcharacterization of these tumors, is in the staging and restaging phase .
Gynecological cancers involve several tumors of the female reproductive system. The five most common gynecological tumors are those of the uterine cervix, endometrium, ovary, vagina and vulva. Furthermore, although rarer, there is a further gynecological tumor, which is generated from the gestational trophoblast tissue.These pathologies represent an important burden for society since there are over nine hundred thousand cases in Europe. Ultrasound examination is the investigation commonly used to monitor high-risk women. Magnetic resonance imaging (MRI) is considered the most accurate imaging technique for presurgical staging of gynecological tumors. Computed tomography (CT), on the other hand, is not usually used for diagnosis, but is considered very useful for investigating possible distant metastases.Finally, integrated positron emission tomography (PET)/CT and PET/MRI methods are innovative molecular imaging techniques and represent a continually expanding field of research in the oncology setting, including gynecological malignancies. The present study is of considerable clinical relevance as at our Institute it is possible to have a significant number of patients suffering from gynecological neoplastic pathologies that are studied using PET, thus allowing the identification and validation of innovative imaging biomarkers, with the use of both traditional imaging parameters and radiomic features.
The FAME-II trial was a prospective, multicenter, multinational, multi-continental, randomized clinical trial with an 'all comers' design. The overall purpose of the FAME-II trial was to compare the clinical outcomes, safety and cost-effectiveness of FFR-guided PCI plus optimal medical treatment (OMT) versus OMT alone in patients with stable coronary artery disease and in whom both PCI and medical treatment can be considered on the basis of the presently existing scientific evidence. FAME-II was conducted from 2009 to 2012 and 1-year, 2-year and 5-year results have been published. The purpose of this 10-Year Follow-up is to evaluate the 10-year major adverse cardiac event rate (MACE, defined as all-cause death, documented myocardial infarction, unplanned hospitalization leading to urgent revascularization). Patients will have to sign a specific informed consent for the present 10-year follow-up. This study will be conducted for about approximately 6 months.
This is a diagnostic, open-label, single-center interventional study. This study aims to evaluate the diagnostic accuracy of dynamic ultrasonography for meniscal injuries in patients with an indication for arthroscopy, and to compare it with the study in MRI.
Two-parallel groups randomized, single-blinded, multi-center phase III controlled trial in patients with chronic inflammatory cardiomyopathy to assess the efficacy of colchicine and associated prospective registry to assess the prognostic value of positive genetic testing in this population.
This is a multicenter prospective observational study lead by the FIL on sarcopenia and sGA as possible predictors of efficacy and toxicity outcomes in patients undergoing CAR-T cells treatment.