A5100643776- Traditional Chinese Medicine Studies
- Traditional Chinese Medicine Analysis
- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- Meta-analysis and systematic reviews
- Acupuncture Treatment Research Studies
- Plant-based Medicinal Research
- COVID-19 and Mental Health
- Complementary and Alternative Medicine Studies
- Clinical practice guidelines implementation
- Ginkgo biloba and Cashew Applications
- Neurological Disease Mechanisms and Treatments
- Pharmacological Effects of Natural Compounds
- Delphi Technique in Research
- Medical Research and Treatments
- Lipid metabolism and disorders
- Esophageal Cancer Research and Treatment
- Pediatric health and respiratory diseases
- Medicinal Plant Pharmacodynamics Research
- Sleep and Wakefulness Research
- Heart Rate Variability and Autonomic Control
- Dermatology and Skin Diseases
- Ginseng Biological Effects and Applications
- Menopause: Health Impacts and Treatments
- Pelvic floor disorders treatments
Tianjin University of Traditional Chinese Medicine
2016-2025
Sichuan Cancer Hospital
2023
University of Electronic Science and Technology of China
2023
Hefei Institute of Technology Innovation
2023
National Medical Products Administration
2023
Tianjin haihe hospital
2022
First Affiliated Hospital of Hebei Medical University
2021
Affiliated Hospital of Hebei University
2021
First Affiliated Hospital of Guangzhou University of Chinese Medicine
2020
University of Macau
2019
Since its outbreak in December 2019, a series of clinical trials on coronavirus disease 2019 (COVID-19) have been registered or carried out. However, the significant heterogeneity and less critical outcomes such may be leading to waste research resources. This study aimed develop core outcome set (COS) for COVID-19 order tackle issues. The was conducted according Core Outcome Measures Effectiveness Trials (COMET) Handbook: Version 1.0, guideline COS development. A group up that included...
Abstract Objective To evaluate the effectiveness and safety of Qingjin Yiqi granules (QJYQ) on post‐COVID‐19 condition (PCC). Method Patients who met inclusion criteria were randomly assigned to two groups, QJYQ group received combined with standard rehabilitation treatments (SRTs) control only SRTs. The treatment course was 14 days. primary outcomes modified Medical Research Council (mMRC) scale Borg scale, while secondary included symptoms score 6‐minute walking distance (6MWD). outcome...
Traditional Chinese medicine (TCM) has been widely used in the treatment of coronavirus disease 2019 (COVID-19). Tongue features should be referred for diagnosis and diseases TCM. Therefore, it is necessary to analyze tongue patients suffered from COVID-19.COVID-19 Symptom Database (established by Evidence-based Medicine Center Tianjin University TCM) was searched eligible pictures. The pictures were assessed TCM experts extract data color, coating body shape proper feature. relationship...
The development of artificial intelligence (AI) for traditional Chinese medicine (TCM) has played an important role in clinical decision-making, mainly reflected the intersectionality and variability symptoms, syndromes, patterns TCM multiple diseases holistic differentiation (MDHD). This study aimed to develop a AI method system decisions more transparent with explainable structural framework. developed syndrome elements integration priori rule deep learning (TCM-SEI-RD) TCM-MDHD by...
We assessed the nearly 1-year health consequences following discharge and related risk factors of COVID-19 infection further explored long-term effect disease severity on diabetes incidence. This prospective study included 248 patients discharged from Wuhan Hospital Traditional Chinese Medicine who were followed up between 1 March 10 June 2021. Logistic regression models used to evaluate factors. The top ten symptoms shortness breath (30.3%), sore or dry throat (25.7%), cough (23.2%),...
With the development of traditional Chinese medicine (TCM) syndrome knowledge accumulation and artificial intelligence (AI), this study proposes a holistic TCM differentiation model for classification prediction multiple syndromes based on deep learning accelerates construction modern foundational equipment.
Gamma-glutamyltransferase (GGT) is a membrane-bound enzyme involved in the glutathione metabolism. Studies suggested that GGT was marker of apoptotic balance and modulated tumor progression, invasion drug resistance. Recently, shown to be associated with progression high-grade esophageal epithelial dysplasia invasive carcinoma. This study conducted investigate value pre-therapeutic serum levels as prognostic parameter squamous cell Six hundred thirty-nine resectable carcinoma patients were...
Abstract Background Few studies had described the health consequences of patients with coronavirus disease 2019 (COVID-19) especially in those severe infections after discharge from hospital. Moreover, no research reported care workers (HCWs) COVID-19 discharge. We aimed to investigate HCWs hospital Hubei Province, China. Methods conducted an ambidirectional cohort study “Rehabilitation Care Project for Medical Staff Infected COVID-19” The participants were asked complete three physical...
Introduction Heart failure (HF) has always been an important issue in global public health. The research and development of traditional Chinese medicine (TCM) provide more possibilities for improving the prognosis HF patients. Because multiple TCM injections (TCMIs) are being widely applied clinical work, it is to choose right TCMIs purpose this study assess compare effect different using network meta-analysis (NMA) further references decision-making. Methods analysis randomised controlled...