There are more than 498,563 clinical trials published worldwide with over 60,000 trials that are currently either recruiting or not yet recruiting. Use our filters on this page to find more information on current clinical trials or past clinical trials (free or paid) for study purposes and read about their results.
The current study is designed as a prospective partially randomized patient preference (PRPP) trial and recruit psychiatric outpatients or inpatients. Participants who agree to receive randomization will be randomly assigned into a supplementation or placebo group, after stratification for pre-intervention vitamin D status (12-20 ng/mL or <12 ng/mL) and depression status (HDRS-17 ≥ 17 or < 17). Participants who decline randomization but agree to receive follow-up in the observational cohort choose their preferred method (either 4800 IU vitamin D3 per day, or usual care without supplementation). Severity of depression, any change of medication, and side effect will be assessed at baseline and at 2-week intervals for 8 weeks. Serum levels of 25(OH)D, C-Reactive protein (CRP) and 12 cytokines, anthropometrical measurements, dietary intake, physical activity and sun exposure will be assessed at baseline and post-intervention. Additionally, serum levels of 25(OH)D will be assessed at 4 weeks to ensure its safety level.
Coverage Africa is a nested study in the large Anticov platform trial that aims to generate data on new early treatment strategies for mild/moderate COVID-19 patients in resource-limited-settings to reduce the number progressing to severe forms requiring hospitalization, thereby relieving the burden on health care systems and contributing to "flattening the curve" in contexts where none pharmaceutical intervention such as quarantine are difficult to implement in large urban settings. Treating early when the virus is still present might also limit transmission. Coverage Africa will be conducted in Guinea and Burkina Faso. The main objective is to conduct an open-label, multicenter, randomized, adaptive platform trial to test the safety and efficacy of several marketed products, including antiviral therapies versus control in mild/moderate of coronavirus disease 2019 (Covid-19) in resource-limited-settings. The study aims to recruit 600 patients in both countries, one site in Guinea and two sites in Burkina Faso. The current assessed treatments are now the association of Fluoxétine/Budésonide compared with a control arm: paracetamol. The adaptive design trial will allow for the removal of drugs, or the addition of new study arms when new data becomes available. Data on the primary efficacy parameters and safety will be integrated with the primary endpoint based on an oxygen saturation percentage (SpO2) ≤ 93% or death within 14 days after randomization to treatment, including death for any reason. Study will run until August 2022. However, with the proposed adaptive design, the study could also be interrupted for success earlier than planned with the identification of a treatment that significantly reduces hospitalization rate as evidence by results from the primary endpoint.
BC-U001 is an allogeneic fresh human umbilical cord-derived mesenchymal stem cell product, which showed therapeutic potential for rheumatoid arthritis(RA) based on its anti-inflammatory, immunomodulatory and tissue repair activities. The primary objective of this open-label, non-randomized, dose-escalation study is to evaluate the safety and tolerability of a single intravenous infusion of BC-U001 for RA patients using a 3+3 design.
This project is a case-control study which seeks to identify modifiable risk factors for breast and colorectal cancer in Nigeria. Both cases and controls will be required to complete a risk factor questionnaire which contains information about their diet, physical activity, past medical history and life style factors. They will also be required to provide information on their body composition through the use of a bioimpedance machine which measures the body mass index, fat and total body water percentage. Based on the existing ARGO platform where a current colorectal cancer study is going on, approximately 400 patients with a prior diagnosis or a new diagnosis will be recruited into this study. Comparatively, we will select our 400 controls from two groups of participants who are free of cancer and gastrointestinal diseases.
Atrial fibrillation (AF) is a supraventricular arrhythmia characterized by uncoordinated and fast atrial activity, and coronary artery disease (chronic and acute coronary syndrome) is characterized by a generally atheromatous narrowing of the coronary arteries. Angioplasty is necessary to restore arterial circulation in coronary artery disease. A dual anti-aggregating therapy is then initiated in these patients in parallel with treatment of AF with anticoagulation. This triple therapy exposes the patient to an increased risk of hemorrhage. The combination of oral anticoagulation with antiplatelet inhibitor in long-term anticoagulated patients requiring stent placement has been studied in several recent trials (e.g. WOEST, PIONEER AF PCI, REDUAL PCI and AUGUSTUS). The results of these studies have formed the basis of the European recommendations of 2017 and 2020, whereby the therapeutic strategy depends on the risk of hemorrhage or ischemia. However, the hemorrhagic risk assessment factors included in the scores overlap with those for ischemic risk. It is therefore difficult to determine the predominant risk for each patient. Thus, uncertainties persist as to the optimal duration of a triple therapy and the optimal recommended dose. In this study, the investigators aim to establish an inventory of the current practices by evaluating the incidence of hemorrhagic and ischemic events in post-angioplasty in anticoagulated coronary patients in the context of atrial fibrillation.
Study Aim and Goals 1. Evaluate the correlation between genetic polymorphism and ROP development 2. To study the possibility if there are any specific genetic polymorphisms that lead to poor outcome or recurrence of ROP after treatment.
Addictions are among the most serious and expensive public health problems in Europe and Spain and they present high morbimortality. There is an increasing amount of studies emphasizing the role e-health for improving current treatments in mental health but research in addictions is still scarce. Over the last years, there have been several indicators that show an upward trend in the consumption of cocaine and the highly treatment-resistant patients. Objectives: 1) To evaluate whether adding a web-based cognitive behavioral therapy (CBT4CBT) to standard cocaine use disorder treatment improves treatment outcomes in a Spanish sample of patients with severe addiction 2) To explore differences between men and women in treatment response and psychopathological risk factors of treatment response. Design: Randomized clinical trial. Selection criteria: patients consecutively admitted to the inpatient treatment unit for cocaine detoxification and meet inclusion criteria. Sample: the total sample will be of 70 individuals (randomly assigned to TAU + web-based CBT4CBT (n=35) or to TAU (n=35)). Assessment: Patients will be assessed at the beginning and during inpatient treatment, before and during outpatient treatment (CBT4CBT or TAU), after outpatient treatment (CBT4CBT or TAU) and at follow ups. Treatment retention, changes on craving and related psychological variables as well as presence of benzoylecgonine in urine will be evaluated.
Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control and incorrect Insulin administration. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic control through frequent blood glucose monitoring with finger prick or Continuous Glucose Monitoring (CGM) systems. However, several non-invasive techniques have been proposed aiming at exploiting changes in physiological parameters based on glucose levels. The overall objective of this study is to validate a deep learning algorithm to detect glycaemic events using electrocardiogram (ECG) signals collected through non-invasive device. This observational single-arm study will enrol participants with T1D aged less than 18 years old who already use CGM device. Participants will wear an additional non-invasive wearable device, for recording physiological data (e.g. ECG, breathing waveform, 3-axis acceleration) for three days. ECG variables (e.g. heart rate variability features), respiratory rate, physical activity, posture and glycaemic measurements driven through ECG variables and other physiological signals (e.g. the frequency of hypo or hyperglycaemic events, the time spent in hypo- or hyperglycaemia and the time in range) are the main outcomes. A quality-of-life questionnaire will be administered to collect secondary outcomes. Data collected will be used to design, develop and validate the personalised and generalized classifiers based on a deep-learning artificial intelligence (AI) algorithm developed during the pilot study, able to automatically detect hypoglycaemic events by using few ECG heartbeats recorded with wearable devices. This study is a validation study that will carry out additional tests on a larger diabetes sample population, to validate the previous promising pilot results that were based on four healthy adult subjects. Therefore, this study will provide evidence on the reliability of the deep-learning artificial intelligence algorithms investigators developed, in detecting glycaemic events in paediatric diabetic patients in free-living conditions. Additionally, this study aims to develop the generalized AI model for the automated glycaemic events detection on real-time ECG.
This clinical trial is an open-label, single-arm, multi-center, escalation (Phase 1 Part B only), rater-blind (Phase 2 only), phase 1/2 trial to evaluate the diagnostic validity/safety of Ga-68-NGUL and efficacy/safety of Lu-177-DGUL on the anti-tumor activity that aims to simultaneously evaluate diagnostic and therapeutic validity.
This trial is a single-center, prospective, observational clinical study. All patients who have at least one coronary artery stenosis of 30%-90% in diameter ≥ 2mm confirmed by CCTA, and who are scheduled to undergo clinically indicated invasive coronary angiography (ICA) and optical coherence tomography (OCT) evaluation and/or treatment will be eligible for enrollment. We proposed a novel approach that integrates CCTA, ICA and OCT images to automatically measure plaque characterization and calculate CT-FFR using computational fluid dynamics (CFD) simulation and artificial intelligence deep learning.