There are about 36818 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.
Background: Hematuria, a common symptom of urinary system diseases, can result from various causes including infection, stones, trauma, and tumors. Urothelial carcinoma (UC), the most common malignancy of the urinary system, often presents with hematuria. Current diagnostic methods like urine cytology and cystoscopy have limitations in sensitivity and specificity, and cystoscopy is invasive. DNA methylation biomarkers offer potential for non-invasive UC detection, improving diagnostic accuracy in hematuria patients. Objective: This study aims to evaluate the diagnostic performance of DNA methylation biomarkers in detecting UC in patients with hematuria. Methods: This prospective pilot study will involve collecting preoperative urine samples from hematuria patients for DNA methylation testing using MSRE-qPCR. Sample size calculation was based on an assumed 25% prevalence of UC in hematuria patients, resulting in a total of 71 participants after accounting for a 20% dropout rate. Sensitivity, specificity, and diagnostic performance will be assessed using ROC curves. Conclusion: This study seeks to validate the effectiveness of urine DNA methylation testing for UC detection in hematuria patients, providing a basis for its clinical application and informing the design of larger future studies.
A prospective, randomized, double-blinded, placebo-controlled, multicenter trail is designed to compare differences of operation rate and clinical outcome from treatment up to 24 weeks between HXLS group and placebo group.
This is a randomized controlled trial to explore the efficacy of antibiotic pretreatment on the efficacy of WMT in the treatment of chronic constipation in adults: a multi-center, randomized, placebo-controlled clinical study
Hypoxic-ischemic encephalopathy (HIE), bronchopulmonary dysplasia (BPD), short bowel syndrome (SBS) are refractory in clinical treatment. Thus, how to better prevent such diseases is currently a key research topic in the international field. The use of cord blood-derived mononuclear cells may promote to save lives and improve patient outcomes.
In the case of large tumors or tumors closely adjacent to organs at risk, ablative doses offered by stereotactic body radiation therapy (SBRT) could not be delivered. Therefore, a technique that could provide high radiation doses to tumors without increasing of risks of severe adverse effects is required.
In this trial, we aim to compare the outcomes of adjuvant chemoradiotherapy with chemotherapy for patients with resected pancreatic cancer who are at high risk of disease progressions.
This study will address whether intravenous (IV) iron repletion with a more intensive target will provide greater benefits in improving exercise capacity for patients with chronic heart failure and iron deficiency. One group of participants will receive a high-dose IV iron regimen with a more intensive target, and the other group will receive a low-dose IV iron regimen with a less intensive target.
To learn about the safety of post-HSCT two dose Inotuzumab Ozogamicin to participants with high risk B cell acute lymphoblastic leukemia(B-ALL). Also, to learn if giving Inotuzumab Ozogamicin to post-HSCT patients with high-risk B- ALL can help to reduce relapse and prolong disease free survival and overall survival.
This is a prospective, open-label, single-arm investigator-initiated clinical study. It is used to evaluate the safety and efficacy of T3011 intravesical instillation in patients with BCG-failure high-risk non-muscle invasive bladder cancer (NMIBC)
This project intends to track and evaluate whether post-ICU syndrome will occur 7 days, 1 month, 3 months and 6 months after ICU patients are transferred out of the ICU through a longitudinal study, apply the latent category growth model to identify different trajectory patterns of post-ICU syndrome in critically ill patients, and use modern machine learning models to build an early warning model of the trajectory patterns of post-ICU syndrome.