There are about 36633 clinical studies being (or have been) conducted in France. 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.
This study is part of the Post-Market Clinical Follow-up process for the Calcanail medical device; the objective of which is to collect data on the safety and performance of the device after it has been placed on the market. The primary objective of this study is to evaluate the safety of the device. The secondary objectives are to evaluate the clinical performance and safety of the device. This is a research not involving the human person: observational study, retrospective, monocentric, non-comparative and national. 84 patients will be included in the study.
Premature ovarian insufficiency (POI) affects 2,8 to 3,5% of women before the age of 40. Previous foreign studies revealed that only half of POI disclosures occurred during a medical consultation and that the diagnosis was often discussed in less than 5 minutes. As a result, most of patients felt a lack of information, and consequently sought data on the internet. None of these studies were conducted in France. The aim of this study is to analyze current practices related to POI diagnosis and to assess women's satisfaction
The prospect of pediatric surgery is a source of preoperative anxiety for children and their parents. It affects 50% of children waiting for surgery and the causes vary according to age. It has been shown that pre-operative anxiety in children often leads to behavioral changes. Pre-operative anxiety is often managed by pharmacological premedication. However, there are many alternative techniques to reduce children's anxiety before surgery. The use of an application dedicated to pediatric anesthesia used from the moment of the anesthesia consultation would allow to reduce this anxiety by allowing a varied course of information involving the child in his preparation before the surgery. First, it allows an evaluation of the pre-operative anxiety level of children via validated scales. Secondly, it provides information to the children using methods adapted to their age and level of understanding. Thus, if this method were validated, other hospitals could use this application to develop a tool that would benefit the many children who undergo surgery each year.
The purpose of this study is to evaluate the metabolic and the safety outcomes in people living with pancreatic diabetes (pancreatitis or pancreatectomy-induced diabetes) and using a closed-loop insulin delivery systems ("artificial pancreas").
There are around 8,000 rare diseases and new ones are described every month in the scientific literature. They affect a limited number of patients. Nearly 80% of these diseases have a genetic origin and 30 to 40% of them are associated with dysmorphia. The latter can be suspected by evaluating the morphological characteristics of the patient. This medical skill, called dysmorphology, which allows a diagnosis to be made by evaluating the morphological characteristics of a patient, is based on experience. Diagnosis is often easy for relatively common diseases, but more difficult for rarer pathologies affecting few patients and often described in a single ethnicity and age of life. The study aims to create a dataset specific to the application of methods from artificial intelligence. Extending the methodologies described to profile and extremity photographs will allow better recognition and description of dysmorphia. This will allow to make diagnostic suggestions by comparison with the database. The Data Science team has already explored the notion of phenotypic similarity of patients. Jean Feydy is a mathematician expert in image analysis and will ensure the scientific robustness of the study methods. This project will conclude with the establishment of a diagnostic aid tool, integrating research results for doctors with a particular interest in developmental anomalies and intellectual disability.
This study is part of the launch of a multidisciplinary project called IMAG2, for image-guided minimally invasive surgery. It involves collaboration between the radiology and surgery teams at Necker Hospital and the Image Processing and Interpretation (TII) team at the LTCI at Télécom ParisTech. To make a decision, surgeons need access to a 3D model reflecting the anatomy of the specific patient and its pathological variations. Patient-specific 3D reconstruction provides a significant improvement, leading to a precise assessment of the malformation or tumour and its relationship with surrounding organs, nerves and vessels. It allows the surgeon to simulate a pre-operative procedure, which is a definite advantage in terms of safe, effective and curative surgery, particularly in oncology. MRI has been chosen as the basic imaging technique because of its non-irradiating nature and the current lack of 3D MRI reconstruction technology. The study aims to provide an aid to diagnosis and surgical planning by developing dedicated methods and algorithms for segmenting not only the tumour but also the main anatomical components surrounding the tumour from 3D MRI imaging data. The imaging will be performed on a 3 Tesla MRI. The data will be that required for diagnosis and surgical planning, acquired on a routine clinical basis with an expected benefit for patients.
Previous studies demonstrated that Placental Growth Factor (PIGF) and Vascular Endothelial Growth Factor (VEGF) produced by trophoblast cells decreases during Preeclampsia, whereas soluble fms-like tyrosine kinase-1 (sFlt-1), an antiangiogenic factor, increases. The ratio sFlt-1/PlGF has a higher positive predictive value than the isolated measurement. A ratio under 38 exclude risk of imminent preeclampsia and allows to outpatient follow-up with a negative predictive value of 99.3%. A ratio equal or higher than 38 permits to direct high-risk patients towards hospitalization with a positive predictive value of 36.7% of preeclampsia at 4 weeks. These findings suggest that the ratio can be used to select more appropriately women needing hospitalization for suspected preeclampsia. This is a single-center prospective and observational study conducted from the 1rst of October 2019 to the 27th of January 2021, including pregnant women suspected of preeclampsia, above 24 weeks of gestation. Values were measured using the Elecsys sFlt-1/PlGF immunoassay ratio. The aim of the study is to observe the clinical decision regarding hospitalization, intensive patient monitoring, corticosteroid administration, and labor induction before and after knowing the ratio value
SYN1 gene mutation is an X-linked gene mutation that causes numerous pathological manifestations such as seizures and neurodevelopmental disorders. A few descriptions of this disease have been published in the last decade, but the electro-clinical features of epilepsy are still largely unknown. No analysis of electroencephalographic connectivity has yet been performed. The aim of this study is to perform a detailed electro-clinical seizure analysis and electroencephalographic analysis in patients with a SYN1 gene mutation, in an attempt to identify a characteristic pattern that would allow earlier diagnosis and better understanding and management of this disease.
The purpose of this study is to demonstrate that by allowing patients with an anticoagulant level less than 100 ng/ml to have their fracture managed surgically, will reduce the delay in surgery and therefore the complications associated. It will also demonstrate that there are no more complications with this new management than from remaining with a bleeding fracture.
The aim of the study is to assess whether the use of artificial intelligence improves polyp detection in a segment of the colon (the right colon). To achieve this objective, patients will be divided into two groups: one will undergo a standard colonoscopy, the other a colonoscopy with the artificial intelligence software connected to the machine. This software does not modify the colonoscopy technique in any way, and does not require the administration of any product to the patient. The study will compare the detection rate of right colon polyps between the group of patients who underwent standard colonoscopy and those who underwent colonoscopy with artificial intelligence. If this number does not differ between the two groups, the investigators can conclude that there is no point in using artificial intelligence.