View clinical trials related to Prognosis.
Filter by:This study aims to assess multimodal Radiomics-based prediction model for prognostic prediction in spinal tumors.
Comparison of the progression-free survival, overall survival, local progression rates, complete ablation rates and the complications rate of MSA and traditional MWA in the treatment of single hepatocellular carcinoma with a diameter of ≤5cm.
Developing a deep learning model based on contrast-enhanced ultrasound (CEUS) to predict the prognosis of hepatocellular carcinoma (HCC) and aid choose operation decisions
Sepsis is a clinical syndrome with high morbidity and high fatality rate in emergency department. Patients with acute liver or kidney injury are more likely to develop Multiple Organ Dysfunction Syndrome(MODS) secondary to the non-hepatic injury group, and the prognosis deteriorates significantly. At present, there is no unified diagnostic criteria for acute liver injury associated with sepsis, and the commonly used prognostic evaluation system is rarely included in liver injury indicators, which is not good for practicality.
Malignant pleural mesothelioma (MPM) is a highly aggressive tumor with atypical clinical manifestations. Most patients with MPM are at an advanced stage at the time of diagnosis, and only a few patients can be cured by radical surgery and other treatment measures. Pemetrexed + cisplatin chemotherapy with or without bevacizumab is still the standard treatment for MPM. In recent years, multimodality therapy including surgery, radiotherapy and chemotherapy have shown certain advantages in improving patient overall survival time. Targeted and immunotherapy may bring breakthroughs in MPM therapy. However, there are still no high-quality evidence-based medical evidence reports on the treatment model and effects of MPM patients in China. Focusing on MPM, we plan to systematically review the relevant scientific literature, confirm relevant scientific research questions, and provide references for related treatments. On this basis, we will estimate MPM incidence and mortality rates from 2014 to 2025 based on the data published by the National Cancer Registry. Meanwhile, a retrospective study cohort was constructed based on the electronic medical record database, and according to the research demand, patients were followed up with their post-discharge survival status to comprehensively describe and analyze the incidence, diagnosis, treatment, and prognosis of MPM patients. Also, exploratory analysis of the therapeutic effects of existing clinical treatments was conducted.
Follow-up study of Coronavirus disease 2019 (COVID-19) survivors has rarely been reported. We aimed to investigate longitudinal changes in the characteristics of COVID-19 survivors after discharge.
The coronary artery system is composed of three different types of blood vessels, namely epicardial arteries, arterioles and capillaries. Compared with epicardial arteries, arterioles and capillaries are lower than the resolution of current angiography systems, so angiography cannot be used for visualization. Existing studies have shown that coronary microcirculation plays an extremely important role in maintaining full myocardial perfusion. Coronary microvascular disorders can lead to myocardial hypoperfusion and ischemia, and are related to the poor prognosis of patients with coronary heart disease. At present, there is no technology that can directly detect the state of the coronary microcirculation in the human body, but the coronary microcirculation function can be indirectly assessed through two invasive and non-invasive methods. Among them, the index of microcirculation resistance (IMR) is widely used to evaluate coronary microcirculation function [3]. However, in the case of epicardial stenosis, accurate determination of IMR requires knowledge of coronary artery contraction pressure (Pw). However, measuring IMR is an invasive examination technique, and measuring IMR requires high technical requirements for the operator. Therefore, the CaIMR value obtained by AI technology can well overcome this limitation, and the existing data show that the CaIMR value has a good correlation with the IMR value. However, CaIMR has a clinical prognosis for patients with acute ST-segment elevation myocardial infarction. The predictive value of CaIMR has not yet been explored. This project aims to evaluate the application value of CaIMR in predicting the occurrence of adverse cardiovascular events in patients with acute ST-segment elevation myocardial infarction after percutaneous coronary intervention.
Based on a review of about 10,000 patients undergoing cardiac surgery under CPB in West China Hospital of Sichuan University and the Second Affiliated Hospital of Zhejiang University, we try to evalute the effect of blood transfusion on outcomes in cardiac surgery.
This study aims to determine the clinical effectiveness of multi-dimensional signatures in predicting response and prognosis of lung cancer patients. The study is a multi-center perspective research of treatment planning for patients with lung cancer. To characterize clinical effectiveness, the progression-free survival (PFS) and overall survival (OS) impacts of multi-dimensional signatures will be estimated.
Among the patients diagnosed as acute myocardial infarction by coronary angiography, 5%-25% of the patients did not find coronary artery obstructive lesions. These patients do not need PCI. The discovery and verification of clinical protocols for accurate identification of myocardial infarction in the absence of obstructive coronary artery disease（MINOCA）is a major issue that needs to be addressed.Novel biomarkers like grow stimulation expressed gene 2（ST2）can indicate the degree of coronary artery obstruction, copeptin is a biomarker of cardiac emergency state. No clinical studies have been conducted to evaluate whether the novel biomarkers combination regimen can diagnose or exclude MINOCA. Our research aims to establish and validate a model for the recognition of MINOCA based on novel biomarkers (ST2, copeptin) and to evaluate the prognostic value of novel biomarkers among patients with acute chest pain.