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.
To analyze the effects of the Crossover Point (COP) Exercise Program on Chinese postmenopausal women.
The main purpose of the trial is to compare the pharmacokinetics of insulin degludec and liraglutide as part of a combination product insulin degludec/liraglutide compared with Xultophy®. During the trial period, serials of blood samples will be collected from the participants at two dosing periods, in order to determine the concentration of insulin degludec and liraglutide. The total volume of blood taken throughout the whole trial period will be less than 400 mL. Participants will be asked to stay on daytime and overnight in the trial sites on some predefined days. For other outpatient days, participants need to attend the trial site as required for drug administration or required assessments.
This study is a single arm open exploratory clinical trial to evaluate the efficacy and safety of selinexor combined with venetoclax and azacitidine. This study will be divided into two stages: dose increasing stage and dose expanding stage. In the dose-increasing stage, the study induction therapy was designed using a 3+3 design. The induction therapy and consolidation therapy of the subjects will be administered at RP2D doses. During this study period, there were a total of 4 cycles. The treatment cycle of the subjects will include 2 cycles of induction therapy and up to 2 cycles of consolidation therapy. In addition, if the subject does not achieve remission (CR/Cr or PR) after 2 cycles of consolidation treatment (at the end of the 4th course), the study will be terminated by the subject, and the clinical doctor will choose the subsequent treatment for the subject based on clinical experience.
This clinical trial study is conducted to detect the imaging characteristics of the patients with Parkinson's diseases (PD) by 7-Tesla (7T) magnetic resonance imaging (MRI).
The current clinical implant techniques used include immediate implantation, early implantation, and delayed implantation. With the acceleration of the current pace of life, immediate implantation is increasingly favored by patients due to its advantages such as fewer surgeries, shorter waiting times, and less impact on aesthetics. The research group has shown that the mismatch between traditional implants and extraction sockets in immediate implantation surgery has caused some complications. Therefore, it is believed that 3D printed personalized root shaped implants with certain roughness are more suitable for use in immediate implantation surgery.
The objective of this imaging substudy of RESTORE trial is to demonstrate the superiority of drug-coated balloon (DCB) treatment on non-flow limited vulnerable plaque as compared to guideline-directed medical therapy (GDMT) in improving plaque stabilization in patients with acute coronary syndrome.
The study is to assess the safety, efficacy and pharmacokinetic Behavior of Leuprolide Injectable Emulsion for Premenopausal Breast Cancer Subjects.
DTFI is a single-center, prospective cohort study aimed at evaluating the hemodynamics of in-stent stenosis after flow diverter implantation, seeking to identify the threshold effect of blood flow in stenosis.
The goal of this single arm, phase II clinical trial is to evaluate the efficacy and safety of cadonilimab (AK104) as induction and consolidation therapy in locally advanced/unresectable non-small cell lung cancer (NSCLC) patients treated with concurrent chemoradiotherapy. Participants will receive 2 cycles of induction therapy with cadonilimab combined with EP regimen, followed by standard concurrent chemoradiotherapy (thoracic radiotherapy +EP regimen chemotherapy), and finally consolidation therapy with cadonilimab (AK104) for 1 year.
This study is a retrospective exploratory trial conducted at a single center, aiming to develop and validate a preoperative lymphatic metastasis model for cervical cancer using artificial intelligence deep learning. The model is trained using preoperative imaging and postoperative pathological findings of cervical cancer patients, with the goal of enhancing the accuracy of lymphatic metastasis prediction through preoperative imaging and offering insights for treatment decisions.