Groningen, Netherlands Clinical Trials
A listing of Groningen, Netherlands clinical trials actively recruiting patients volunteers.
Found 228 clinical trials
Predictive Models for Radiation-induced Side Effects in Head and Neck Cancer Based on Single Nucleotide Polymorphisms (SNP)
Background of the study: Swallowing dysfunction and xerostomia are the most frequently reported radiation-induced side effects (RISE) after (chemo) radiation ((CH) RT) in head and neck cancer (HNC) patients and have a major impact on the general dimensions of quality of life (QoL). In radiation0oncology, normal tissue complication probability (NTCP) …
Standard Follow-Up Program (SFP) for Patients With Esophageal Cancer
Motive In order to improve the treatment technique, a comprehensive follow-up program is needed to obtain all relevant patient, treatment and toxicity data from esophageal cancer patients. Goal To set-up and maintain a database containing treatment results in terms of tumor control, side effects, complications and patient-reported quality of life. …
Terumo Aortic Global Endovascular Registry
Multi-arm, multi-center, open label, prospective observational registry designed to obtain safety and performance data on the use of CE marked and custom Terumo Aortic endovascular grafts.
Met Non Small Cell Cancer Registry (MOMENT)
The purpose of this multi-national disease registry is to collect prospectively (with longitudinal follow-up) high-quality, standardized, and contemporaneous data to capture changes in the non-small cell lung cancer (NSCLC) treatment landscape and outcomes over time. The registry will capture data on participants; demographic, clinical characteristics (including biomarker data), treatment patterns, …
POINTING: Clinical Cohort Study of Patients With Melanoma and NSCLC Receiving Checkpoint Inhibitors
This is a two-center, prospective continuously accruing longitudinal cohort study in patients with non-small cell lung carcinoma (NSCLC) or metastatic melanoma eligible for standard anti-PD-1 antibody treatment. The data from this prospective longitudinal cohort will be used in the POINTING (towards patient -tailored cancer immunotherapy supported by a multifaceted predictive …
Radiation-induced Toxicity in Prostate Cancer/ Standard-Follow-Up Program Prostate
The goal is to gain insight in the development and course of the toxicity after a curative treatment of prostate cancer
ConTTRibute: A Global Observational Study of Patients With Transthyretin (TTR)-Mediated Amyloidosis (ATTR Amyloidosis)
The purpose of this study is to: Describe epidemiological and clinical characteristics, natural history and real-world clinical management of ATTR amyloidosis patients Characterize the safety and effectiveness of patisiran and vutrisiran as part of routine clinical practice in the real-world clinical setting Describe disease emergence/progression in pre-symptomatic carriers of a …
Standard Follow-up Program Neuro-oncology Patients (SFP Neuro-Oncology)
Standardised evaluation of baseline data regarding tumor-, patient- and treatment-characteristics as well as follow-up data regarding tumor- and clinical-outcome of neuro-oncology patients treated with radical/curative radiotherapy. Motive Currently there is limited data on dose-effect relationships of tissues and structures in and around the brain. This lack of knowledge hampers patient …
Rehablines: a Further Use Databank to (re)Use Routine Clinical Data for Scientific Research in Rehabilitation of People With Physical Disabilities and/or Chronic Diseases
Within the Center of Rehabilitation multidisciplinary treatment is provided to people with various physical disabilities and/or chronic diseases. During and in the context of this treatment, a lot of data is routinely collected. Rehablines is initiated to re-use this routine clinical data in a database for future scientific research. Rehablines …
CARdiomyopathy in Type 2 DIAbetes Mellitus
The objective of the CARDIATEAM clinical study is to assess the uniqueness of diabetic cardiomyopathy (DCM) relative to other forms of cardiomyopathy using unsupervised clustering approaches based on deep phenotyping (clinical, imaging and biological) information.
