ObjectiveTo investigate the identification of kidney Yang deficiency syndrome of patients with osteoporosis（OP）， and to form the clinical syndrome identification rules of traditional Chinese medicine（TCM）. MethodBasic information， etiology， clinical symptoms and other characteristics of 982 OP patients were included， and statistical tests were used to screen the variables associated with kidney Yang deficiency syndrome. Taking the decision tree as the base model， bootstrap aggregation algorithm（Bagging algorithm） was utilized to establish the classification model of kidney Yang deficiency syndrome in OP， generating numerous rules and removing redundancy. Combining least absolute shrinkage and selection operator（LASSO） regression to screen key rules and integrate them to construct an identification model， achieving the identification of kidney Yang deficiency syndrome in OP patients. ResultEighteen key identification rules were screened out， and of these， where 11 rules with regression coefficients>0 correlated positively with the kidney Yang deficiency syndrome， the rule with the highest coefficient was chilliness（present）&feverish sensation over the palm and sole（absent）. The other 7 rules with regression coefficients<0 correlated negatively with the syndrome， the rule with the lowest coefficient was reddish tongue（present）&diarrhea（absent）&deficiency of endowment（absent）. According to the regression coefficients of each key rule， variables with importance>0.2 were ranked as chilliness， reddish tongue， feverish sensation over the palm and sole， cold limbs， clear urine， diarrhea， deficiency of endowment， prolonged illness. The results of the partial dependence analysis of the identification model showed that compared to OP patients without chilliness， those with chilliness（present） had a 0.266 8 higher probability of being identified as having kidney Yang deficiency syndrome， indicating that this variable had the highest impact on identification of the syndrome. Similarly， compared to OP patients without reddish tongue， those with reddish tongue had a 0.141 9 lower probability of being identified as having kidney Yang deficiency syndrome， indicating that this variable had the highest impact on identifying non-kidney Yang deficiency syndrome. The accuracy， sensitivity， specificity and area under receiver operating characteristic curve（AUC） of the established kidney Yang deficiency syndrome identification model in the test set were 0.865 9， 0.853 7， 0.872 0 and 0.931 5， respectively. ConclusionA precise identification model of OP kidney Yang deficiency syndrome is conducted basing on the rule ensemble method of Bagging combining LASSO regression， and the screened key rules can explain the identification process of kidney Yang deficiency syndrome. In this research， according to the regression coefficients of rules， the importance and partial dependence of variables， combined with the thinking of TCM， the influence of patient characteristics on the identification of syndromes is described， so as to reveal the primary and secondary syndromes of identification and assist the clinical identification of kidney Yang deficiency syndrome.

The systematic and comprehensive introduction and interpretation of the Reporting Checklist of Clinical Practice Guidelines for Chinese Patent Medicines V1.0 is conducive to the presentation of high-quality clinical practice guidelines for Chinese patent medicines （CPMs）， thus improving their dissemination and use. The Reporting Checklist of Clinical Practice Guidelines for Chinese Patent Medicines V1.0 specifies the requirements for clear， complete and transparent reporting of the whole process of developing CPMs guidelines， containing 4 domains， 17 topics and 43 items， and involving the basic information， recommendations and methods of guideline development. Especially， it details the items related to the rules and regulations of the use of CPMs in the recommendations， which is helpful for improving the completeness， scientificity and practicality of the reporting of CPMs guideline.

It is necessary to develop rapid and living guidelines in order to improve the evidence translation and guidance for clinical practice in emergency situations， and to enhance the participation of traditional Chinese medicine （TCM） in management of emergencies. This paper introduced the process of developing rapid and living guidelines of TCM and divided it into three stages， that is preparation， rapid development and dynamic updating， which highlights the features of rapid development， high quality， and dynamic updating and the integration with the predominance of TCM. By comparing with general guidelines on composition， personnel number， timing to formulate and communication patterns of the guideline working groups， as well as the content and number of clinical questions， this paper mainly gave suggestions on how to formulate a concise but authoritative team during the preparation stage， how to efficiently manage the guideline team and promote the development process from conflict of interest management， working and communication mode adjustment， and how to formulate and update the important and prioritized clinical questions， all of which may provide reference for the development of TCM rapid and living guidelines.

Recommendations for Chinese patent medicine （CPM） based on key information on rational drug use are one of the important conditions for enhancing guideline enforceability as well as facilitating guideline implementation. In this study， we discussed in detail of the key information on the rational use of CPM in five aspects， which are dosage， drug discontinuation， drug-drug and drug-food interactions， safety and economy. Following the process of multi-source search， synthesis and prioritization， it is suggested to collect key information on the rational use of CPM from a multi-source search of drug instructions， policy documents， literature， and clinical experts' experiences. Then the searched information should be summarized and prioritized with the principle that taking drug instructions as the basis and other-sources information for check and supplementation. Finally， methodological recommendations for the retrieval and synthesis of key information on rational drug use in guideline recommendations has been formed.

Recommendation formation is a key component of clinical practice guidelines for Chinese patent medicine （CPM）， and should encompass the determination of the strength and direction of the recommendation， the rationale for the recommendation， and the methodology for implementing the recommendation. Recommendations can be formed through formal consensus and informal consensus. The strength and direction of recommendations for CPM guidelines should be determined by considering the quality of evidence for CPMs， the priority of the clinical questions， the pros and cons of efficacy and adverse effects， patient acceptance， the feasibility of the recommendation and the availability of resources， social fairness， economic benefits， and other influencing factors. In order to better guide guideline developers to consider these factors more rationally， this article provideed a detailed explanation of each factor in the context of the characteristics of TCM.

OBJECTIVE To provide a detailed report and interpretation of the method and results for determining the weights of the technical indicators from the “multi-dimensional and multi-criteria comprehensive evaluation index system （first edition）” stated in Guideline for Multi-dimensional and Multi-criteria Comprehensive Evaluation of Chinese Patent Medicine. METHODS Normalization calculations were performed on the comprehensive weight values calculated by the analytic hierarchy process and expert weighting method to obtain the objective weights of the indicators. RESULTS The weight results of the six primary dimensions in the current comprehensive evaluation indicator system of Chinese patent medicine showed effectiveness dimension＞ safety dimension＞standard dimension＞application dimension＞scientific dimension＞economic dimension， with weight values of 0.281 0， 0.268 5， 0.195 8， 0.107 3， 0.096 1 and 0.051 3 respectively， consistent with the results of most researches currently. CONCLUSIONS The process of weight determination in this indicator system is scientifically reasonable， with clear methods and clear interpretations， and is worthy of further optimization and widespread application.