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.
Different from modern medicine, traditional Chinese medicine (TCM) has its unique thought patterns and decision methods. In the process of developing TCM clinical practice guidelines, not only the modern clinical researches should be included, but also the TCM ancient books which had influenced TCM for thousands of years should be included. As an important carrier of TCM, the characteristics of researches in TCM ancient books are different from modern clinical researches. In this paper, we introduced the present situation of the TCM guidelines and how to use TCM ancient books for developing TCM clinical guideline with the guidance of evidence-based method. We used the example of developing of headache TCM guideline to explain how to use TCM ancient books as evidence source for guideline development and explored the application of evidence-based research of TCM ancient books to promote TCM clinical guidelines development.
ObjectiveTo evaluate the outcomes used in randomized controlled trials (RCTs) of traditional Chinese medicine (TCM) in the treatment of unstable angina pectoris, so as to provide references for the study of the core outcome set of TCM on the treatment of unstable angina pectoris.MethodsWe searched RCTs of TCM on the treatment of unstable angina pectoris in the databases of PubMed, EMbase, The Cochrane Library, CBM, CNKI, WanFang Data and VIP from January 2009 to August 2019. Two reviewers independently screened all records, extracted data and evaluated risk of bias of included trials. A qualitative analysis was conducted to analysis the outcomes.ResultsA total of 43 RCTs were included and their outcomes were categorized into 7 categories: clinical symptoms and signs, quality of life evaluation, blood biochemical outcomes, ECG, cardiac function outcomes, safety outcomes (including adverse reactions and events), and other related outcomes. Blood biochemical outcomes were the most frequently reported outcomes, followed by the clinical symptoms and signs. Of the 43 RCTs, 35 RCTs applied TCM syndromes efficacy as outcomes. Our analysis identified a series of problems in the application of outcomes: no distinction between primary and secondary outcomes, and most of the primary outcomes were intermediate alternative outcomes; the efficacy evaluation standards for TCM syndromes were different; the blinding method was ignored when the subjective outcomes were measured; less attention was paid on adverse outcomes than efficacy outcomes; the names of the same outcome were not standardized; the statistical expression of outcomes required improvement; the quantity of outcomes selected in different studies varied significantly; in TCM related efficacy outcomes, the effective rates were frequently used, however, the evaluation criteria were different.ConclusionsThere are numerous problems for the outcomes’ selecting for RCTs of TCM treatment of unstable angina pectoris. We should use the international standardized method of creating the core outcome sets to establish a core outcome set in line with the characteristics and laws of diagnosis and treatment of traditional Chinese medicine.
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 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.
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.
The post-marketing clinical safety re-evaluation studies of traditional Chinese medicine injections have obtained safety evidence of various research types such as active monitoring, passive monitoring and literature review. However, there is a lack of comprehensive evaluation methods that can effectively integrate the data of the above research types. So far, it is impossible to further produce more comprehensive and objective high-level evidence-based evidence, which seriously affects the supervision and management of traditional Chinese medicine injections and clinical rational use. The key to establishment of a comprehensive evaluation method is to first establish a comprehensive evaluation of the core indicators of the preferred method, the formation of weighted quantitative scoring model applied to the comprehensive evaluation method. Mixed methods research (MMR) can effectively and deeply integrate different types of research data and scientifically and normatively complete the screening of indicators in the evaluation model through repeated quantitative and qualitative research on data. Secondly, for the most critical index weighting and weight adjustment research in the model construction research, the author innovatively combines the analytic hierarchy process with the invariant weight sub-constraint method, and introduces the quantitative research part of the MMR design. It ensures the accurate weighting of indicators in the process of model construction. Therefore, based on the research on the core outcome set proposed for the core outcome outcomes of the effectiveness test, this paper proposes the use of MMR to carry out index screening and weight adjustment research based on multi-source complex data, and to construct a comprehensive evaluation model of post-marketing clinical safety of traditional Chinese medicine injections that integrates different research types of data. It provides measurement tools and new methods for the comprehensive evaluation of post-marketing clinical safety of traditional Chinese medicine injections.