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.
The study is aimed to assess the efficacy of two dietary supplements composed of a Wheat Polar Lipid Complex (WPLC) in oil or powder form in reducing hair loss and improving hair aspect.
This study will ultimately aim at providing the scientific community with patient-reported health status data that will contribute facilitate decision-makings. Short- and long-term HRQoL and symptoms will be evaluated in a longitudinal fashion over time to improve the understanding of the impact of the disease and CAR-T cell therapy on patients-wellbeing, symptom burden and daily functioning. This study will capture useful information on the impact of treatment toxicity, the burden of procedures on HRQoL outcomes. The planned collection of PRO and physician-reported adverse events ad early time point will help to compare and integrate these two points of view in healthcare assessment.
The goal of this clinical trial is to learn about breast cancer lipodome signature in patients waiting for surgery with different Body Mass Index. The main question it aims to answer are: - To highlight a specific lipidome molecular signature for breast cancer patients overweight and obese (BMI > 25 Kg/m2) compared with patients of normal weight (BMI<25 kg/m2). - Evaluate the effect of the pool of biochemical, nutritional and anatomical-pathological data of breast cancer patients and the correlation between molecular profile and body weight.
Physical inactivity and poor dietary habits are associated with an increased risk of obesity and chronic disease (World Health Organization, 2019; Glanz and Bishop, 2010). Conversely, higher levels of total physical activity result in a reduced risk of cardiovascular disease, breast and colon cancer, and diabetes (Kyu et al., 2016). Similarly, consumption of the minimum recommended level (600 g per day) of fruit and vegetables is associated with a lower risk of cardiovascular disease and cancer (Ezzati et al., 2004). However, despite these recognized benefits, unhealthy diet and physical inactivity are still major contributors to poor health and rising health care costs. Worldwide, physical inactivity accounted for 13.4 million disability-adjusted life years (DALYs) in 2013 and cost $53.8 billion to health systems and an additional $13.7 billion in productivity due to deaths attributable to physical inactivity (Ding et al., 2016). Pharmacoeconomics, or the economic evaluation of treatments aimed at maintaining the health of the population, is a set of evaluation models used to identify the value (convenience) and the overall economic impact of a possible treatment. The results of economic evaluations help decision makers inform their choice. Their advantage is that the result is obtained by applying known and validated models, and everyone can know the basis of the decision (evidence-based decision making). The clinical-economic value and the overall financial impact must be compared with the willingness to pay the related costs. Economic evaluations are a tool for defining the value of a medicine in terms of cost-opportunity, from the point of view of the patient, the NHS and society as a whole. The definition of "value" is very broad, multidimensional and includes concepts from many disciplines, beyond economics. Specifically, economic evaluations that take into consideration new medicines, innovative or not, the value is given by the marginal utility that the patient, the NHS and/or society can obtain from its acquisition. In this regard, the measurement of years of life gained in full quality of life (QALY - quality-adjusted life years) is widely applied to medicines in various regulatory contexts, albeit with the awareness that it is not able to capture all the elements that contribute to value (Carletto, A et al.; Drummond, M. F)
The SAMCRO is an all comers, prospective, randomized, multicenter, open-label study with blinded adjudicated evaluation of outcomes (PROBE). The diagnosis of angina in non obstructive coronary artery disease (ANOCA) will be confirmed with coronary artery angiography and with the invasive assessment of coronary microvascular dysfunction (CMD) and coronary vasomotion. At least 120 ANOCA patients with invasively confirmed CMD will be randomized to i) multi-domain lifestyle intervention (experimental arm) vs. ii) standard of care (control arm). All patients will undergo follow-up visits at 6, 12, 24, 36, 48 and 60 months. The study endpoints will be the improvement of angina status and quality of life as assessed by validated questionnaires at one year. All participants in the multi-domain lifestyle group will receive five different kinds of intervention: i) dietary counselling, ii) strict management of cardiovascular (CV) and metabolic risk factors, iii) tailoring of medical therapy on the basis of the invasive assessment of CMD and coronary vasomotion, iv) exercise training and v) psychological intervention. Patients randomized to the control group will be managed according to current guidelines. The angina status will be assessed by the Seattle Angina Questionnaire (SAQ). Quality of life will be assessed using the EuroQoL (EQ5D-5L). Anxiety and depression will be assessed using the Beck Depression Inventory (BDI).
The purpose of this project is to study genetic determinants of mitochondrial impairment in primary progressive multiple sclerosis. Specific aims are: 1) identify mitochondrial-related pathways, inherited and somatic mitochondrial DNA mutations associated to primary progressive multiple sclerosis, 2) functionally assess the identified genetic alterations.
The goal of this observational study is to learn about infectious complications in patients affected by B-cell acute lymphoblastic leukemia treated with inotuzumab-ozogamicin (INO). The main question it aims to answer is: • incidence of infectious complications (bacterial, fungal, viral) in patients receiving inotuzumab ozogamicin up to 60 days after the end of treatment
Compression ultrasonography (CUS), which is the gold-standard for the diagnosis of deep vein thrombosis, cannot provide adequate information on the timing of the onset of thrombosis. Shear-Wave elastography, a technique used to assess tissue elasticity and widely used in hepatology, could play a crucial role in distinguishing between acute and chronic deep vein thrombosis. This study aims at evaluating the efficacy and diagnostic and prognostic accuracy of Shear-Wave elastography in distinguishing between acute and chronic deep vein thrombosis.
The purpose of this study is to evaluate the efficacy, safety, and tolerability of BMS-986278 in Participants with Progressive Pulmonary Fibrosis.
Background: The treatment of Burning Mouth Syndrome (BMS) presents a challenge in tailoring appropriate medication for individual patients. Antidepressants have demonstrated efficacy in alleviating symptoms in most cases; however, a subset of patients exhibit limited or no response to these treatments. The augmentation with pregabalin to conventional treatment has shown promising outcomes in relieving pain and improving quality of life in chronic pain conditions. This study aimed to compare the efficacy of vortioxetine with other antidepressants (SSRIs/SNRIs) in combination with pregabalin in a cohort of unresponsive BMS patients and to predict treatment response using clinical data. Methods: A 52-week randomized, open-label, active-controlled study was conducted, enrolling 203 BMS patients previously treated with one antidepressant for 12 weeks and non-responder to the treatment. The study sample have included two groups: Group A (136) received vortioxetine, while Group B (67) received SSRIs/SNRIs. Pregabalin (75mg/day) was added to both groups, with a potential dosage increase to 150mg/day for inadequate responders after 12 weeks. Treatment response was assessed by measuring reduction in VAS and SF-MPQ scores (>50 or 1-2) and HAM-A and HAM-D scores (>50% or ≤7) at 12, 24, 36 and 52 weeks. Classical logistic regression with a stepwise algorithm and Random Forest machine learning models were used to predict treatment response.