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.
The study is to evaluate the efficacy and safety of SHR6390 combined with endocrine therapy for the adjuvant treatment of hormone receptor positive,Human Epidermal Receptor 2 negative. To observe the PK characteristics of SHR6390 combined with endocrine therapy for the adjuvant treatment of hormone receptor positive,Human Epidermal Receptor 2 negative.
National Survey of Essential Tremor Plus in China（NSETP-China）is a multicenter cross-sectional study designed to investigate the clinical features of ET-plus in mainland China.
A multicenter, randomized, open-label, active controlled pragmatic clinical trial that evaluates the safety and efficacy of S (+) -ketamine for postoperative acute pain in children in perioperative settings.
The purpose of this study is to compare the analgesic effect of ultrasound-guided quadratus lumborum block and iliohypogastric/ilioinguinal nerve block for postoperative pain management in patients undergoing cesarean section.
This is a randomized controlled study . The objective is to observe the therapeutic effects of dredging three yang meridians of hand with deep tissue massage on stiff-neck syndrome. Methods: patients with stiff-neck syndrome were randomly divided into meridian group and paste group.The meridian group were treated once a day for 3 days and the paste group therapy was a 3 courses therapy（ one course includes 24-hour rest and 24-hour paste）. After 3 courses, pain was assessed by visual analogue scale (VAS), the therapeutic effects were compared between the two groups in every stage of the therapy and the self-controlled study.The evaluation criteria on stiff-neck syndrome is based on criteria of diagnostic and therapeutic effect of orthopaedic and traumatologic diseases and syndromes in traditional Chinese medicine . Cure: Absence of neck-stiff, neck sore and free functional activities. Improvement: partially functional activities with light to moderate pain. Failure: No improvement or alleviation of neck stiff and agony. All data will be analyzed by SPSS 16.0, the statistical difference is considered if the P<0.05 and the significant difference is considered if the P<0.01 .
The purpose of this study is to analysize the relationship between the characteristics of tongue image and the diagnosis of gastrointestinal diseases , then develop and validate a deep learning algorithm for the diagnosis of gastrointestinal diseases depending on tongue images, so as to improve the objectiveness and intelligence of tongue diagnosis. At the same time, gastrointestinal flora of common tongue images were analyzed in order to provide a microecological basis for understanding the relationship between tongue images and digestive tract diseases.
The study by giving a sleep disorder Parkinson's disease patients with different patterns of ultra-low frequency transcranial magnetic stimulation or sham stimulation, scale for assessment of the patients were observed, hematology and imaging changes before and after therapy, clear ultra-low frequency transcranial magnetic stimulation for sleep disorder Parkinson's disease treatment, to explore the mechanism of action, compare the difference between different modes.
Preeclampsia is the main cause of increased maternal and perinatal mortality during pregnancy. Preeclampsia is mainly manifested as hypertension, urine protein, or damage symptoms of other target organs after 20 weeks of pregnancy. In preeclampsia high-risk group, early intervention and prevention of aspirin treatment can reduce preeclampsia or reduce its complications. Some serological biomarkers, such as placental protein 13 and placental growth factor, are closely related to preeclampsia. The clinical manifestations of preeclampsia are diverse, and the biomarkers distribution of early and late preeclampsia is also different. Multivariate models will be the trend for the prediction of risk of preeclampsia. The deep learning model can train the algorithm layer by layer by unsupervised learning method, and then use the supervised back propagation algorithm for tuning. It has strong capability and flexibility, and has been successfully applied in medical fields, such as the diagnosis of skin cancer. In this study, maternal clinical data, routine laboratory indicators and biological markers in early pregnancy will be combined, and a deep learning method based on multiple models will be adopted to establish a risk prediction model for early preeclampsia, so as to improve the clinical ability for early diagnosis of preeclampsia. The deep learning method reduces the number of parameters by using spatial relative relation, which can improve the prediction ability of the model. Multi-model method is a less commonly used modeling method, and the models established by this method generally have better stability. This project combines the above two methods to establish a risk prediction model for preeclampsia, and the research is of great significance.
This is a multicenter, open, phase II clinical trial evaluating the safety and efficacy of high-dose almonertinib in the treatment of rare mutations in locally advanced or metastatic NSCLC patients with EGFR mutations (excluding exon 19 deletion or rare mutations outside L858R). Patients showed EGFR mutations by tissue or blood tests (excluding exon 19 deletion or rare mutations other than L858R), of which 20 exon (20INS) mutations and rare mutations other than 20Ins were classified as two covariates. High-dose amitinib was used for treatment to evaluate the safety and efficacy of the treatment regimen.
The objective of this clinical research is to evaluate the safety and effectiveness of Implantable Alginate Hydrogel to reconstruct the left ventricle in the treatment of heart failure