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.
Central venous pressure (CVP) is characterized by a low-frequency pleural-dependent as well as a high-frequency cardiac pulsatile component. The aim of the study is to compare the low-frequency component of CVP with the esophageal pressure (Pes), as surrogate of pleural pressure, to estimate trans-pulmonary pressure (PL).
According to the definition provided by the GINA guidelines, asthma is characterized by a variable and reversible limitation of expiratory airflow and by the following symptoms: wheezing, dyspnoea, thoracic constriction and/or cough. The type and the severity of airflow limitation can vary over time (1) depending on external agents, such as physical exercise, polluting agents, climate changes and viral infections. The therapy is mainly based on the use of inhaled corticosteroids and bronchodilators. Patients affected by severe asthma (~ 10% of total prevalence of asthma and at high risk of exacerbations and/or hospitalization) may not control their symptoms, even if exposed to maximal doses of inhalation therapy.The behavioural sciences can potentially help to find the psychological factors behind scarce adherence and to develop strategies with the aim of improving the interactive processes between patients, medical doctors and health care professionals
This is an open-label, multicenter, randomized phase III trial. The study plans to randomize patients with a 1 to 1 ratio to Arm A (Standard arm) or Arm B (Experimental arm). All patients of both arms will receive a prephase with oral prednisone before 6 cycles Q21 of immunochemotherapy with R-CHOP or R-miniCHOP at standard doses; patients in the Experimental arm (Arm B) will receive also a prephase therapy with VitD and a supplementation of VitD during the intere period of immunochemotherapy according to a prefixed schedule. Choice of type of immunochemotherapy will not rely on Comprehensive Geriatric Assessment result, but treatment at reduced doses with R-miniCHOP is highly recommended option for UNFIT and FRAIL patients.
The European NAFLD Registry is a prospectively recruited, observational study supporting the study of the clinical phenotype, natural history, disease outcomes and pathophysiology of Non-Alcoholic Fatty Liver Disease and Non-Alcoholic Steatohepatitis. The ultimate goals are to better understand the drivers of interpatient variation in disease pathophysiology and severity and to utilise this information to develop and validate biomarkers that, singly or in combination, enable detection and monitoring of disease progression and/or from NAFL through NASH to fibrosis and cirrhosis.
The purpose of this Phase 2/3 study is to evaluate efficacy and safety of the combination of selinexor and R-GDP (SR-GDP) in patients with RR DLBCL who are not intended to receive hematopoetic stem cell transplantation (HSCT) or chimeric antigen receptor T cell (CAR-T) therapy. This study consists of 3 arms each in Phase 2 and 3. Phase 2 portion of the study will assess the two doses of selinexor (40 milligram [mg] or 60 mg) in combination with R-GDP, for up to 6 cycles (21-day per cycle), followed by 60 mg selinexor single agent continuous therapy for those who have reached a partial or complete response. Phase 3 portion of the study will evaluate the selected dose of SR-GDP (identified in Phase 2) versus standard R-GDP + matching placebo, for up to 6 cycles (21-day per cycle), followed by placebo or 60 mg selinexor single agent continuous therapy for those who have reached partial or complete response.
This study aims to evaluate the effect of the use of automated algorithms for the measurement of fetal biometry, and for the reconstruction of standard planes of fetal anatomy, compared with the standard ultrasound technique, during the second trimester ultrasound scan.
During the current pandemic, in Italy the majority of asymptomatic or pauci-symptomatic COVID-19 cases were not identified nor diagnosed and this fact caused a decrease in the effectiveness of the various containment measures implemented. Therefore, in a future scenario where a new viral swarm is expected, the early identification of all infected cases becomes essential to plan and activate a containment strategy for the spread of the virus, given the current absence of vaccines. The typical radiological finding of COVID-19 is an interstitial pneumonia, which can be responsible, in a significant portion of patients, of an acute respiratory distress syndrome (ARDS). Low-dose chest CT and simple blood tests could identify sub-solid pulmonary nodules (SSNs) indicative of COVID-19 infection in asymptomatic subjects. Objectives of this observational study are the early detection of COVID-19 markers indicative of prior exposure or persisting viral infection in asymptomatic subjects and the assessment of the frequency and outcome of COVID-19-related SSNs in asymptomatic subjects by time, domicile, and other individual risk factors. SMILE lung CT screening program cohort has been considered, based on 960 subjects at high lung cancer risk for tobacco smoking (≥20 pack/year) and age (50-75 years), together with inflammatory and respiratory profile. SMILE utilizes a top technology dual-source CT scanner (Somatom Force) with the lowest radiation dose ever applied to lung screening. All chest CT images from screening subjects will be re-evaluated by two additional CAD programs, specifically designed for the analysis of SSNs and quantification of the total volume of lung parenchyma showing an increased density. This re-evaluation will improve the sensitivity and specificity of radiomic assessment. This study cohort, enriched by the already established longitudinal biobank of frozen plasma samples, represent an ideal opportunity to assess the frequency of SSNs in asymptomatic subjects, due to the effect of COVID-19, particularly among subjects living in areas at high risk of viral exposure. It will also be possible to evaluate if COVID-19-related SSNs are associated with chronic co-morbidity, other individual risk factors, inflammatory (CRP) / immunomodulatory (25(OH)D) blood profile, and/or can be traced by immune markers such as IgM/IgG and other cytokines. Clinical data will be integrated with an analysis of the IgG-IgM profile specific for covid-19, on the plasma samples taken at the time of the CT scan, or subsequently, in collaboration with University of Milan, Luigi Devoto Work Clinic. The lasting collaboration with the Radiological Science Department of the University of Parma in lung screening also offers the opportunity to validate the results obtained in this cohort on chest CT performed at the University Parma Hospital during the last two months in symptomatic subjects for suspected covid-19 pneumonia. In collaboration with University of Milano Bicocca, Machine Learning (ML) tools will be applied to predict the clinical relevance, severity and ultimate outcome of SSNs, based on radiomic CT features, epidemiologic risk, co-morbidity and inflammatory/immune blood biomarkers. ML analysis will generate a predictive algorithm for clinical outcome of SSNs, and specifically the risk of COV-I9 infection and unfavorable disease prognosis.
Even if colonoscopy is considered the reference standard for the detection of colonic neoplasia, polyps are still missed. The risk of early post-colonoscopy cancer appeared to be independently predicted by a relatively low polyp/adenoma detection rate. When considering the very high prevalence of advanced neoplasia in the FIT-positive enriched population, the risk of post-colonoscopy interval cancer due to a suboptimal quality of colonoscopy may be substantial. Available evidence justifies therefore the implementation of efforts aimed at improving adenoma detection rate, based on retraining interventions and on the adoption of innovative technologies, designed to enhance the accuracy of the endoscopic examination. Artificial intelligence seems to improve the quality of medical diagnosis and treatment. In the field of gastrointestinal endoscopy, two potential roles of AI in colonoscopy have been examined so far: automated polyp detection (CADe) and automated polyp histology characterization (CADx). CADe can minimize the probability of missing a polyp during colonoscopy, thereby improving the adenoma detection rate (ADR) and potentially decreasing the incidence of interval cancer. 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. The objective of this study was to compare the diagnostic yield obtained by using CADe colonoscopy to the yield obtained by the standard colonoscopy (SC).
The investigating group aims at performing an observational, prospective study that involves the evaluation of circulating biomarkers predictive of clinical evolution in patients suffering from COVID-19 disease. In particular, the aim will be to verify whether there are transcripts or cytokines / chemokines in peripheral blood, modulated differently in patients with COVID-19, distinguished on the basis of the evolution towards more severe clinical pictures that require patient intubation or that show signs of cardiovascular damage. The study will be based on the transcriptional analysis of the entire genome and serum protein to evaluate the expression of a broad spectrum of cytokines and chemokines. Genome analysis will allow the genotype to be correlated to the identified gene expression profiles.
Up to 50% of patients affected with amyotrophic lateral sclerosis (ALS) can show behavioral dysfunctions within the spectrum of frontotemporal degenerations (FTD) - namely, apathy, disinhibition, loss of sympathy/empathy, perseverative and stereotyped behaviours, dietary changes [Strong et al., 2017]. The Beaumont Behavioural Inventory (BBI) [Elamin et al., 2017] is a questionnaire designed for detecting FTD-spectrum behavioural changes in ALS patients. The present study aims at both validating the BBI in an Italian ALS population and determining normative cut-off values of the instrument.