Minatoga, Japan Clinical Trials
A listing of Minatoga, Japan clinical trials actively recruiting patients volunteers.
Found 64,776 clinical trials
Non-Invasive Monitoring Methods in Patients With Acute Brain Injury
Life-threatening mass effect (LTME) arises when brain swelling displaces or compresses crucial midline structures subsequent to acute brain injuries (ABIs) like traumatic brain injury (TBI), ischemic stroke (IS), and intraparenchymal hemorrhage (IPH), which can manifest rapidly within hours or more gradually over days. Despite advancements in surgical management, significant gaps …
Registry for Patients With X-Linked Hypophosphatemia
This is an international, multicentre, prospective, non-interventional, observational Registry of patients with X-Linked hypophosphatemia (XLH). The main objective of this XLH Registry is to collect data to characterise the treatment, progression and long-term outcomes of XLH in both adult and paediatric settings.
REal-world Data of CARdiometabolic ProtEcTion
This study is a single-center, historical prospective cohort study including patients diagnosed with metabolic cardiovascular disease, including hypertension, diabetes, obesity, dyslipidemia, hyperuricemia. The primary outcome of the study is all-cause death and cardiovascular death, and the secondary outcome is major adverse cardiovascular events. We aim to measure associations of established …
Real World Clinical Outcomes of Resected ALK-Positive Early Stage NSCLC Patients Treated With Alectinib as Adjuvant Therapy
This study is a multicenter, prospective, cohort study designed to evaluate the clinical outcomes and characteristics of resected stage II-IIIB anaplastic lymphoma kinase (ALK)-positive non-small-cell lung cancer (NSCLC) adult patients treated with Alectinib as adjuvant therapy in China.
The C-BRIDGE Study: China Bronchiectasis Research Involving Databases, Genomics, and Endotyping
Bronchiectasis is a heterogeneous airway disease with diverse causes, making precise diagnosis, prognosis, and treatment response prediction challenging. Identifying patient subgroups (phenotypes) and molecular profiles (endotypes) can enhance individualized assessment and management. While prior studies, primarily in European populations, have identified key phenotypes and endotypes, their relevance to Chinese patients …
Evaluation of Rehabilitation Practices in the Intensive Care Unit
This observational study aims to describe the number of rehabilitation procedures performed per patient during their stay in French-speaking adult intensive care units undergoing invasive mechanical ventilation (average rehabilitation ratio). The study aims to determine the actual rehabilitation ratio, i.e. the number of rehabilitation procedures divided by the number of …
Comprehensive Dementia Management : From Translational Medicine to Innovative Care
The purpose of this stage is to conduct analysis and discussion through expert meetings (consultation) based on the current data of the elderly in each dementia base and Rizhao Center, as well as the weekly courses and activities of the service site (base, Rizhao), and make recommendations.
Pre-anesthesia Imaging-based Respiratory Assessment and Analysis
This study is to establish a preoperative respiratory imaging assessment database and develop a difficult intubation risk prediction model and further risk analysis. We attempt to construct it into a pre-anesthesia intubation risk assessment software as the clinical decision support system.
The FOCUS-ADHF Registry
Acute heart failure (AHF) represents a significant clinical and economic burden due to its impact on patients' quality of life, poor prognosis, and high healthcare costs. Despite advancements in treatment, the optimal therapeutic management of these patients, particularly those with severely reduced ejection fraction and dilated left ventricles, remains uncertain. …
A Machine Learning Prediction Model for Postoperative Acute Kidney Injury in Non-Cardiac Surgery Patients
Primary objectives of this study is to develop and validate a predictive model for acute kidney injury after non-cardiac surgery based on machine learning. Secondary objectives of this study is to incorporate frailty assessment as a new predictor into the model and measure its incremental value was measured.
