There are about 13332 clinical studies being (or have been) conducted in Netherlands. 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 Phase 3 study is a randomized, observer-blind study of aQIV (an MF59-adjuvanted quadrivalent influenza vaccine) compared with a non-adjuvanted quadrivalent influenza vaccine (QIV) in adults ≥65 years of age. The aim of the study is to evaluate aQIV compared with QIV in the prevention of reverse transcription-polymerase chain reaction (RT-PCR)-confirmed influenza A and/or B in subjects ≥65 years of age.
This study is open to adults who are at least 18 years old and have - a body mass index (BMI) of 30 kg/m² or more, or - a BMI of 27 kg/m² or more and at least one health problem related to their weight. People with type 2 diabetes cannot take part in this study. Only people who have previously not managed to lose weight by changing their diet can participate. The purpose of this study is to find out whether a medicine called survodutide (BI 456906) helps people living with overweight or obesity to lose weight. Participants are divided into 3 groups by chance, like drawing names from a hat. 2 groups get different doses of survodutide and 1 group gets placebo. Placebo looks like survodutide but does not contain any medicine. Every participant has a 2 in 3 chance of getting survodutide. Participants inject survodutide or placebo under their skin once a week for about one and a half years. In addition to the study medicine, all participants receive counselling to make changes to their diet and to exercise regularly. Participants are in the study for about 1 year and 7 months. During this time, it is planned that participants visit the study site up to 14 times and receive 6 phone calls by the site staff. The doctors check participants' health and take note of any unwanted effects. The participants' body weight is regularly measured. The results are compared between the groups to see whether the treatment works.
The care of patients with high-risk cutaneous squamous cell carcinomas in the head-neck area is complex and requires a multidisciplinary approach. A key component in this care is the need and experience of patients. However, studies on the experiences and needs of patients with high-risk cutaneous squamous cell carcinomas in the head-neck region are lacking.
Introduction Up to half of hospital employees worldwide are experiencing symptoms of burnout. Therefore, interventions to improve mental health among hospital workers are urgently needed. Your World is an inexpensive and easy-to-use intervention that aims to reduce stress and increase resilience among hospital employees. Your world uses a blended approach, which includes a real-life personal session and challenges in the Your World app (for smartphone). Hypothesis The investigators hypothesize that Your World will improve resilience and well-being and reduce stress among hospital employees. Research objectives Main objective - Does Your World reduce stress among hospital employees as measured by the PSS-10? Design Randomised controlled trial Population Employees of the Erasmus University Medical Center including students and volunteers Methods and study procedures Five hundred participants will be randomized 1:1 to receive either Your World (intervention) or the control app (control). In the intervention group, subjects will participate in one 'vitality session' before installing the app. At baseline and after 3 months hair samples questionnaires will be collected among the participants of both groups. At 6 months, same questionnaires will be collected. Burden and risks There are no risks associated with participation in this study. The questionnaires can be filled out online in 15 minutes, hair collection takes 5 minutes. The vitality sessions take 1 hour and the use of the app takes 5 minutes a day.
Coronavirus disease (COVID-19) can result in severe hypoxemic respiratory failure that ultimately may require invasive mechanical ventilation in the Intensive Care Unit (ICU). Although lifesaving, invasive mechanical ventilation is associated with high mortality, severe discomfort for patient, long-term sequelae, stress to loved-ones and high costs for society. During the ongoing pandemic high number of invasively ventilated COVID-19 patients overwhelmed ICU capacity. Non-invasive respiratory support, such as high flow nasal oxygen (HFNO) or non-invasive ventilation (NIV) have the potential to reduce the risk for invasive mechanical ventilation and in selected cases ICU admission. However, data from different studies are conflicting and studies performed in COVID-19 patients are of limited quality. Furthermore, identification of early predictors of HFNO/NIV treatment failure may prevent unnecessary delay of initiation of invasive ventilation, which may be associated with adverse clinical outcome. The development and validation of a prediction model, that incorporates readily available clinically data may prove pivotal to fine-tune non-invasive respiratory support. The overall aim of the NORMO2 project is to investigate the role and risks of HFNO and NIV to improve outcome in hospitalized hypoxemic COVID-19 patients.
Basal cell carcinoma (BCC) is the most common form of cancer among the Caucasian population. Equivocal BCC lesions are usually diagnosed by means of a punch biopsy, but since the last few decades, non-invasive imaging techniques for the diagnosis of BCC gained popularity within the field of dermatology. Conventional optical coherence tomography (cOCT) is an example of a non-invasive imaging technique. Recent studies revealed that OCT assessors may achieve high diagnostic certainty and accuracy for diagnosing BCC. However, cOCT has a limited axial and lateral resolution and can therefore only visualize the gross architecture of the skin. It has been proposed that the diagnostic certainty and accuracy of cOCT could be optimized by improving the resolution. Line-field confocal optical coherence tomography (LC-OCT) is a new non-invasive imaging technique that provides tridimensional images of the skin with a cellular resolution. Although the resolution of LC-OCT is superior to cOCT, the penetration depth of LC-OCT (500µm) is limited compared to that of cOCT (1.0-1.5mm). In the proposed study, we aim to assess whether LC-OCT is superior to cOCT in terms of diagnostic accuracy for diagnosing BCC in equivocal BCC lesions.
The goal of this international cohort study is to develop a prediction model for long-term outcome and response to first-line immunotherapy of anti-NMDAR Encephalitis, already at the moment of diagnosis.
According to the most recent guideline of the National Comprehensive Cancer Network (NCCN), desmoplasia is considered to be a very high risk factor for recurrence, metastasis and death in cutaneous squamous cell carcinoma (cSCC). The presence of desmoplasia is assessed by dermatopathologists during histological examination of cSCCs. However, the inter-observer agreement is between dermatopathologists in the assessment of desmoplasia is unclear. Studies on inter-observer variability in the assessment of differentiation grade in cSCCs showed that there is only a weak to moderate agreement among dermatopathologists in the assessment of differentiation grade (2-4). This study aims to investigate the interobserver agreement of desmoplasia between dermatopathologists. In this prospective study, 50 cSCCs will be assessed for desmoplasia by at least eight dermatopathologists using a predefined definition.
GenoMed4All 'Genomics and Personalized Medicine for all though Artificial Intelligence in Haematological Diseases' aims to advance on individual SCD patients' disease characterisation and to improve the monitoring of patients' health status, optimise clinical therapy guidance and ultimately improved health outcomes by the identification of biomarkers and the development of individual (risk) models in SCD. Genomed4All supports the pooling of genomic, clinical data and other "-omics" health through a secure and privacy respectful data sharing platform based on the novel Federated Learning scheme, to advance research in personalised medicine in haematological diseases thanks to advanced Artificial Intelligence (AI) models and standardised interoperable sharing of cross-border data, without needing to directly share any sensitive clinical patients' data. The SCD Use case will gather multi-modal clinical and -OMICs data from 1,000 SCD patients in 4 EU-MS: France, Italy, Spain and The Netherlands. In close collaboration with the European Reference Network on Rare Hematological Diseases (ERN-EuroBloodNet, GA101157011), GENOMED4ALL involves multiple clinical partners from the network, while leveraging on healthcare information and repositories that will be gathered incorporating interoperability standards as promoted by ERN-EuroBloodNet central registry, the European Rare Blood Disorders Platform.
The increasing incidence of actinic keratosis (AK), morbus Bowen (MB) and cutaneous squamous cell carcinoma (cSCC), the patients with often multiple lesions and the disadvantages of invasive diagnostics show the need for an accurate non-invasive diagnostic tool for the determination of invasive growth in AK and MB. Optical coherence tomography (OCT) is a non-invasive scanner creating cross-sectional images of the skin, to a depth of 1-1,5 mm based on light waves. Until now, OCT has been proposed as non-invasive diagnostic tool for basal cell carcinomas. Although the diagnostic value of OCT for detection and sub-typing of basal cell carcinomas has already been demonstrated, it is unclear whether OCT can discriminate between invasive and non-invasive lesions (AK, MB and cSCCs). There are some studies that describe OCT characteristics of AK, MB and cSCCs, however, these characteristics have a lot of overlap (8-13). To date there are no clearly distinctive OCT features to distinguish between AK, MB and cSCCs. This study aims to investigate the value of OCT in discriminating between the presence and absence of invasion in lesions with clinical suspicion for invasion. Two experienced OCT-assessors will evaluate the OCT scans independently. The OCT assessors are blinded to the histological diagnosis of the lesions (invasive or non-invasive), which is used as golden standard. A 5-point Likert scale is used for OCT assessment. 1. Definitely not invasive 2. Probably not invasive 3. Unknown, probably invasive/probably not invasive 4. Probably invasive 5. Definitely invasive In addition to completing the Likert-scale, assessors are asked to describe the presence/absence of predefined OCT characteristics (a.o. hyperkeratosis and the presence of the dermo-epidermal junction) In case of disagreement between the independent assessors, the OCT scan will be re-assessed in a consensus meeting.