There are about 35759 clinical studies being (or have been) conducted in China. 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.
Chronic hepatitis B (CHB) can lead to hepatocellular carcinoma (HCC), imposing a significant health and economic burden globally. Early detection of hepatitis B virus-related HCC (HBV-HCC) in CHB with potential biomarkers has become a pressing and difficult challenge. Recent advancements in urinary proteomics offer a promising approach for HBV-HCC biomarker identification, utilizing Liquid chromatography with tandem mass spectrometry for urine proteome analysis. Differential analysis using limma in R software will uncover upregulated proteins in HBV-HCC.
Ultrasound (US) is a more cost-effective, accessible, and available imaging technique to assess anterior talofibular ligament (ATFL) injuries compared with magnetic resonance imaging (MRI). However, challenges in using this technique and increasing demand on qualified musculoskeletal (MSK) radiologists delay the diagnosis. Using datasets from multiple clinical centers, the investigators aimed to develop and validate a deep convolutional network (DCNN) model that automates classification of ATFL injuries using US images with the goal of providing interpretable assistance to radiologists and facilitating a more accurate diagnosis of ATFL injuries. The investigators collected US images of ATFL injuries which had arthroscopic surgery results as reference standard form 13 hospitals across China;Then the investigators divided the images into training dataset, internal validation dataset, and external validation dataset in a ratio of 8:1:1; the investigators chose an optimal DCNN model to test its diagnostic performance of the model, including the diagnostic accuracy, sensitivity, specificity, F1 score. At last, the investigators compared the diagnostic performance of the model with 12 radiologists at different levels of expertise.
In recent years, the prevalence of severe mental disorders in China has continued to grow, and the burden of disease in society has continued to rise. In order to improve the prognosis of patients with severe mental disorders and reduce the risk of disease relapse or readmission, researchers established a cohort based on the Ningbo Mental Health Information System in Ningbo, a sub-provincial city in the southern wing of the Yangtze River Delta of China, with a resident population of more than 9 million, and linked it to the residents' health records, and through the data linkage obtained data on patients in the full cycle of pre-diagnosis, diagnosis, follow-up, disease changes and death, realising full-cycle management of patients with severe mental disorders. Currently, NEED has accumulated data on more than 50,000 patients with severe mental disorders and obtained multi-dimensional longitudinal information through long-term follow-up and data linkage. All diseases follow the World Health Organization International Classification of Diseases 10th Edition (ICD-10) for clinical coding, and available data include baseline demographics, past history, family history, social functioning deficit screening scale scores, risk assessment, and so on and longitudinal health information from electronic health records (EHR), providing a solid data base for future real-world studies.
Multiple myeloma (MM) is a disease caused by malignant plasma cell proliferation disorder. Survival outcomes continue to vary widely even within uniformly treated clinical trial populations. How to construct a clinical prognosis model of MM through real-world data to guide the selection of treatment options, standardize patient management, and improve survival expectations, is a major problem that needs to be solved urgently. It is necessary to build an MM-specific cohort in China to comprehensively understand the characteristics of MM patients, explore treatment options, and improve prognostic factors for survival outcomes.
The post-hepatotectomy liver failure (PHLF) is still the most worrisome complication of hepatic resection. Surgeons have always been making efforts to preoperatively predict PHLF using kinds of techniques, scoring systems, and variables. The investigators of this study tried to create an individual predictive model based on the variable, resected normal parenchymal volume (RNLV), then assessing the performance and value of the model in clinical practice.
A prospective study aimed to compare the efficacy and safety of Unilateral biportal endoscopic (UBE) technique and uniportal endoscopic (UE) technique for treating patients with lumbar spinal stenosis (LSS).
Previous studies have shown that repetitive transcranial magnetic stimulation(rTMS) can improve clinical symptoms of Parkinson's disease(PD). Continuous theta-burst stimulation(cTBS) is a novel rTMS protocol that produces physiological effects b acting on neurons in the brain, which can decrease the excitability of motor system. This study aims to explore the long-term effects of cTBS on improvement of movement symptoms in patients with PD.
To investigate the clinical features of ocular manifestations during the novel coronavirus pneumonia pandemic in Hubei at the end of 2022
This clinical trial investigates the neuroplasticity and cognitive status changes of the human brain in microgravity. To explore the relationship between cognitive status changes and brain functional activities, gray matter and white matter changes under microgravity exposure, screen and identify representative image markers, so as to provide decision-making information for the cognitive status changes of relevant personnel under microgravity environment.
The research objective is to evaluate the safety and tolerability of the inactivated rotavirus vaccine and explore its preliminary immunogenicity.