Diabetic neuropathic pain (DNP) is one of the most common and complex complications of diabetes. In recent years, studies have shown that gut microbiota can regulate inflammatory response, intestinal permeability, glucose metabolism, and fatty acid oxidation, synthesis, and energy consumption by regulating factors such as lipopolysaccharides, short chain fatty acids, bile acids, and branched chain amino acids, achieving the goal of treating DNP. This paper summarizes the relevant mechanisms of gut microbiota in the treatment of DNP, the relevant intervention measures of traditional Chinese and western medicine, in order to provide new ideas for clinical treatment of DNP.
Since the concept of core outcome set (COS) was introduced into clinical trials of traditional Chinese medicine (TCM), researchers have paid much more attention to develop COS for specific diseases. Although researchers believe that the characteristics of TCM, such as syndromes, should be considered in the COS of TCM, it was insufficiently addressed. In addition, the naming of TCM syndromes has not been standardized, and the classification and diagnostic criteria for specific diseases have been inconsistent. Thus, it is difficult to include TCM syndromes in the COS. Different diseases may show similar TCM syndromes which makes research difficult. Based on previous studies, this paper provided methods of developing core TCM syndromes set according to the model of combination of disease and syndrome and the model of syndrome dominating disease to provide references for future researches.
A core outcome set (COS) is an agreed minimum set of outcomes that should be reported in all clinical trials in specific areas of health care. The use of COS can reduce the heterogeneity of outcomes reporting in different trials and enhance evidence synthesis in systematic review/meta-analysis by including more studies with the same outcome. It can also enhance the value of trials and reduce cost waste to some extent. Recently, Core Outcome Measures in Effectiveness Trials (COMET) initiative has developed the COMET handbook (version 1.0). This handbook discussed the problems of COS research and made some recommendations. This paper interprets the COMET handbook (version 1.0) and analyses its insight on the construction of TCM clinical research COS, combined with the characteristics of TCM clinical research, in order to provide a reference for related researchers.
Traditional Chinese medicine equipment plays an indispensable role in the prevention, diagnosis, treatment and rehabilitation of traditional Chinese medicine from the needs of people's life and health, and provides technical support for the simple, convenient, cheap and effective clinical practice of traditional Chinese medicine. The traditional Chinese medicine equipment industry has the development advantages of large demand gap, strong policy support and emerging technology empowerment. At the same time, there are also bottlenecks such as lagging standardization construction, weak industrial foundation, insufficient characteristics of traditional Chinese medicine and immature evidence-based evaluation research. The coming of the era of digital intelligence has brought new opportunities for the development and reform of the traditional Chinese medicine equipment industry. This paper provides development ideas for the transformation of traditional Chinese medicine equipment from traditional to modern from the aspects of standardization construction, digital intelligence industry upgrading, improvement of evidence-based evaluation system and in-depth international exchanges and cooperation.
The paper discusses the scientificity, evidence-based research, clinical practice and related problems of traditional Chinese medicine (TCM) from three aspects: theory, demonstration and application, and attempts to clarify ambiguities and misconceptions, further correctly evaluate the historical status, important value and realistic significance of TCM, strengthen our national and cultural confidence, reinforce our theoretical and practical confidence, and strongly refute the derogation and stigmatization towards TCM theory and practice by very few people, in order to provide suggestions for the progress and development of TCM.
In the process of evidence-based practice, the evaluation of evidence applicability relied on the subjective judgment of clinicians, while the systematic method of which was still in lack. The complex clinical information of traditional Chinese medicine (TCM) enhanced the uncertainty and risk of applying evidence. Based on the analysis of the process of evidence-based practice, this paper introduced the method of TCM evidence applicability evaluation and used the raw data of clinical trials to develop a clinical prediction model to enable the assessment of the evidence applicability on individual patients. The establishment of individual evidence applicability evaluation method could promote the rational application of TCM evidence in the long term.
To compare the effectiveness of dressing by a combination of traditional Chinese medicine (TCM)-Western medicine (WM) after TCM bath and by the silver sulfadiazine cream (SD-Ag) in treating residual deep burn wound. Methods A total of 128 cases of residual deep burn wound between July 2003 and December 2009 were randomly divided into the TCM-WM treatment group (70 cases) and the WM control group (58 cases). In the treatment group, there were 45 males and 25 females with an average age of 38.6 years (range, 18-60 years), including 34 cases of flame burns, 28 cases of molten steel burns, and 8 cases of chemical burns with an average burn area of 57.6% total body surface area (TBSA) and an average residual wound of 7.4% TBSA. In the control group, there were 50 males and 8 females with an average of 37.9 years (range, 20-59 years), including 26 cases of flame burns, 12 cases of hot water burns, 16 cases of molten steel burns, and 4 cases of chemical burns with an average burn area of 56.5% TBSA and an average residual wound of 6.9%TBSA. There was no significant difference in general data between 2 groups (P gt; 0.05), so the cl inical data of 2 groups had comparabil ity. In the treatment group, the patients had a bath with TCM, and then the wounds were treated with dressing change of combined TCM-WM. In the control group, the wounds were treated with SD-Ag after cleaning the wounds with chlorhexidine solution. The pain, wound heal ing time, and the rate of scar formation were observed in 2 groups after treatment. Results According to wound pain classification after medication, the results were excellent in 23 cases, good in 30 cases, fair in 17 cases in the treatment group; were excellent in 17 cases, good in 20 cases, fair in 13 cases, poor in 5 cases, and fairly poor in 3 cases in the control group. The wound heal ing time of the treatment group (13.45 ± 4.74) days was significantly shorter than that of the control group [(23.87 ± 14.45) days, P lt; 0.05)]. After 2 weeks of treatment, scar occurred in 15 patients (21.4%) of the treatment group and 35 patients (60.3%) of the control group, showing significant difference (P lt; 0.05). Conclusion Based on TCM bath, a combination of TCM-WM for the residual burn wounds is obviously superior to SD-Ag. It has the advantages of rapid heal ing, l ight pain, no obvious scar, and short hospital ization time.
To promote the accessibility and application of guidelines, it is necessary to establish a professional guideline database to adapt to the rapid growth of TCM clinical practice guidelines. This study described the framework design, technology module, information management, and quality control of the clinical practice guideline database of traditional Chinese medicine (G-TCM). G-TCM had included 658 TCM clinical practice guidelines, which would provide a platform for clinicians, researchers, guideline makers (revision), and evaluators to quickly query and obtain clinical guideline information, and play a supporting role in promoting the standardization and accessibility of TCM clinical practice guidelines and better guiding clinical practice.
Objective Shuanghuanglian injection (SHLI) is a typical Chinese medicine injection which has been used for more than 20 years. This study aims to investigate the compatibility of SHLI with western intravenous agents. Methods An extensive literature search was executed to identify all experimental tests and clinical reports on the topics. Data on the types of infusion solutions and western medical injections, usage and dosage, outcome measures for physical and chemical properties, and changes of drug effect were searched for. The included data was analyzed and described by the category of included western drugs. Compatibility was tested through integrating the evaluations of physical properties, chemical composition, drug metabolism, and safety. Results Sixty articles (38 experimental tests and 22 clinical reports) were included after screening. Fifty–three western medical injections were identified from all the included articles. Most of the research was about the compatibility of SHLI with different types of antibiotics, including β-lactam, aminoglycoside, and quinolone etc. Thirty-one western medical injections were not recommended to be combined with SHLI. The quality of the experimental test design was low because of unbalanced evaluation indicators: more attention to physical changes than drug metabolism, effect, and safety. Conclusions A broad incompatibility exists in the combination of SHLI with western medical injections. Some results are still uncertain, but the combinations should still be avoided until researched clearly. The compatibility and interaction of Chinese herbal injections and western medicines is still a weak area. The pharmaceutical sector should strengthen post-market research to update evidence and improve its distribution.
As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and treatment has received extensive attention in both academia and industry. Traditional Chinese medicine (TCM) is characterized by individual syndrome differentiation as well as personalized treatment with personality analysis, which makes the common law mining technology of big data and artificial intelligence appear distortion in TCM diagnosis and treatment study. This article put forward an intelligent diagnosis model of TCM, as well as its construction method. It could not only obtain personal diagnosis varying individually through active learning, but also integrate multiple machine learning models for training, so as to form a more accurate model of learning TCM. Firstly, we used big data extraction technique from different case sources to form a structured TCM database under a unified view. Then, taken a pediatric common disease pneumonia with dyspnea and cough as an example, the experimental analysis on large-scale data verified that the TCM intelligent diagnosis model based on active learning is more accurate than the pre-existing machine learning methods, which may provide a new effective machine learning model for studying TCM diagnosis and treatment.