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.
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.
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.
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.
Scientism and humanism are two main views on the development of medicine, which run through both theory and practice. Under the guidance of the modern medical concept of " bio-psycho-social”, the views of scientism and humanism on medicine have reached an unprecedented level of development and integration, which jointly determine the connotations and demands of current medicine. As one of the current mainstream medical models, evidence-based medicine (EBM) has played an important role in the management of current medical theories and practices. Meanwhile, EBM has also encompassed views of scientism and humanism in its own development and has successfully shaped the knowledge and methodological system. EBM will continue to gain insight into the characteristics of views of scientism and humanism in the future of medicine to improve itself and should pay more attention to the development of humanism view. As an important branch discipline of EBM, evidence-based Chinese medicine may become a model of the perfect combination of scientism view and humanism view.
The method of evaluating clinical efficacy of traditional Chinese medicine is one of the hotspots in the field of traditional Chinese medicine in recent years. How to dynamically evaluate individual efficacy is one of the key scientific problems to explain the clinical efficacy of traditional Chinese medicine. At present, there are no recognized methods of evaluating individual efficacy of traditional Chinese medicine. In this study, we provided a method of dynamically evaluating individual efficacy of traditional Chinese medicine based on Bayesian N-of-1 trials after analyzing the current status of researches on methods of evaluating individual efficacy of traditional Chinese medicine. This method has the advantages of both N-of-1 trials and Bayesian multilevel models. It is feasible to evaluate individual efficacy of traditional Chinese medicine from the perspective of the design and analysis method. This study can provide an important basis for enriching and improving the methodology of evaluating individual efficacy of traditional Chinese medicine.
The modernization and internationalization of traditional Chinese medicine (TCM) are the key issues we must face up to. The development of TCM needs to depend on the breakthrough of methods and the innovation of ideology, and the international standardization of scientific research evaluation. The clinical evidence from randomized comtrolled trials (RCT) is valuable and reliable. It has shown that the proportion of RCT identified in TCM journals was less than 30%, and the score of RCT’s quality was less than 3 using Jadad scale. However, the number of systematic reviews on TCM is increasing rapidly after the evidence-based medicine (EBM) was introduced and practiced in China. Until 2004, 43 systematic reviews of TCM were published in China, and the quality of RCT included in those reviews was elevated. It has shown that the efficacy and safety of TCM indicated some advances in treatment of certain kind of diseases. It has been realized that RCT are important in TCM, and improving the quality of RCT is the key step for modernization and internationalization of TCM.
ObjectivesTo evaluate the reporting quality of individual/focus group interviews published in nursing journals included in the Chinese science citation database (CSCD).MethodsCSCD database was electronically searched to collect qualitative studies published in nursing journals included in CSCD from January 2016 to December 2018. Two researchers independently screened literatures, extracted data, and assessed the quality of included studies by COREQ guidelines, SPSS 25.0 software was then used for statistical analysis.ResultsA total of 223 qualitative researches were included. The results of COREQ evaluation showed that full report rate of 43.8% (14/32) studies were less than 50%, 78.6% (11/14) were less than 20%, and the full report rate of item 4 was even 0%. There were no significant differences between different total cites and the availability of funding in COREQ guidelines.ConclusionThe reporting quality of the qualitative researches published in the four nursing journals included in the CSCD requires further improvement. Therefore, we suggest that domestic nursing journals should introduce COREQ guidelines in contribution and strictly implement it in editorial review and peer review.