As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Olfactory diagnosis refers to the method of diagnosing diseases by smelling the odor emitted from the patient's body,secretions and excreta,and the odor of the sick room.It is one of the important diagnostic methods under the guidance of traditional Chinese medicine(TCM)theory,and is included in the"inquiry and olfaction"of TCM.In recent years,there has been rapid development in medical-engineering integration,artificial intelligence,big data,and other interdisciplinary fields.This has been promoting the TCM gradually to develop towards accurate,efficient and personalized medical treatment,which has opened a new era of"Smart TCM".In this paper,the ancient literature related to olfactory diagnosis was systematically reviewed,the developmental characteristics of olfactory diagnosis theories in various periods was sorted out,and the different views of TCM specialists on the odors emitted by the human body in physiological and pathological states was summarized.The paper is to explore the origin of TCM olfactory diagnosis and its periodization,clarify the diagnosis of abnormal odors,corresponding to the nature,etiology and prognosis of the disease,and clarify the development of TCM olfactory diagnosis.It provides a theoretical source and literature basis for promoting the research of"smart olfactory diagnosis of TCM"and facilitating the development of objectivity,standardization and intelligence of olfactory diagnosis in TCM.

AIM:To display the distribution of evi-dence in the field of Yiqifumai injection treatment for heart failure.METHODS:To retrieve relevant da-tabases such as CBM,CNKI,Wanfang,VIP,Co-chrane Library,PubMed,Embase,and Web of Sci-ence,and search for the China Clinical Trial Regis-try,ClinicalTrials.gov and collect clinical studies,sys-tematic evaluations,and guideline studies on the treatment of heart failure with Yiqifumai injection.The evidence map research method use a table to display the proportion of literature,sample size,co-morbidities,and quality evaluations of systematic evaluations.Use a pie chart to display the propor-tion distribution of research types,a line chart to describe publication trends,and a bubble chart to display the distribution of evidence.RESULTS:The overall number of articles on the treatment of heart failure with Yiqifumai injection is in a steady development stage.Clinical studies are mainly small sample,single center,short-term randomized controlled trials,with a sample size of 60-100 cases and an intervention duration of mostly 14 days.The underlying disease is mainly coronary heart dis-ease.Clinical research evidence tends to support the therapeutic effect of Yiqifumai injection com-bined with conventional Western medicine in im-proving heart failure patients'heart function and quality of life.However,there are also issues such as low overall quality of research,unreasonable clinical trial design,small sample size,incomplete selection of outcome indicators,low international recognition of certain outcome indicators,and lack of reporting on long-term outcomes The overall quality of randomized controlled trials andsystem-atic evaluation methodology is low.CONCLUSION:In the future,more large sample,multicenter clini-cal randomized controlled trials should be conduct-ed to obtain higher-level evidence-based medicine evidence to fully demonstrate the advantages of traditional Chinese medicine treatment,and pro-mote the common development of traditional Chi-nese medicine cardiology and evidence-based med-icine.

Olfactory diagnosis refers to the method of diagnosing diseases by smelling the odor emitted from the patient's body,secretions and excreta,and the odor of the sick room.It is one of the important diagnostic methods under the guidance of traditional Chinese medicine(TCM)theory,and is included in the"inquiry and olfaction"of TCM.In recent years,there has been rapid development in medical-engineering integration,artificial intelligence,big data,and other interdisciplinary fields.This has been promoting the TCM gradually to develop towards accurate,efficient and personalized medical treatment,which has opened a new era of"Smart TCM".In this paper,the ancient literature related to olfactory diagnosis was systematically reviewed,the developmental characteristics of olfactory diagnosis theories in various periods was sorted out,and the different views of TCM specialists on the odors emitted by the human body in physiological and pathological states was summarized.The paper is to explore the origin of TCM olfactory diagnosis and its periodization,clarify the diagnosis of abnormal odors,corresponding to the nature,etiology and prognosis of the disease,and clarify the development of TCM olfactory diagnosis.It provides a theoretical source and literature basis for promoting the research of"smart olfactory diagnosis of TCM"and facilitating the development of objectivity,standardization and intelligence of olfactory diagnosis in TCM.

AIM:To display the distribution of evi-dence in the field of Yiqifumai injection treatment for heart failure.METHODS:To retrieve relevant da-tabases such as CBM,CNKI,Wanfang,VIP,Co-chrane Library,PubMed,Embase,and Web of Sci-ence,and search for the China Clinical Trial Regis-try,ClinicalTrials.gov and collect clinical studies,sys-tematic evaluations,and guideline studies on the treatment of heart failure with Yiqifumai injection.The evidence map research method use a table to display the proportion of literature,sample size,co-morbidities,and quality evaluations of systematic evaluations.Use a pie chart to display the propor-tion distribution of research types,a line chart to describe publication trends,and a bubble chart to display the distribution of evidence.RESULTS:The overall number of articles on the treatment of heart failure with Yiqifumai injection is in a steady development stage.Clinical studies are mainly small sample,single center,short-term randomized controlled trials,with a sample size of 60-100 cases and an intervention duration of mostly 14 days.The underlying disease is mainly coronary heart dis-ease.Clinical research evidence tends to support the therapeutic effect of Yiqifumai injection com-bined with conventional Western medicine in im-proving heart failure patients'heart function and quality of life.However,there are also issues such as low overall quality of research,unreasonable clinical trial design,small sample size,incomplete selection of outcome indicators,low international recognition of certain outcome indicators,and lack of reporting on long-term outcomes The overall quality of randomized controlled trials andsystem-atic evaluation methodology is low.CONCLUSION:In the future,more large sample,multicenter clini-cal randomized controlled trials should be conduct-ed to obtain higher-level evidence-based medicine evidence to fully demonstrate the advantages of traditional Chinese medicine treatment,and pro-mote the common development of traditional Chi-nese medicine cardiology and evidence-based med-icine.

ObjectiveTo construct and validate a clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure （CHF），aiming to assist clinical diagnosis and provide tools and methods for individualized treatment of CHF. MethodsThe clinical data of patients with chronic heart failure treated at Dongzhimen Hospital of Beijing University of Chinese Medicine from January 2022 to January 2024 were retrospectively collected. The patients were randomly divided into a training group and a validation group with a ratio of 7∶3. First， the least absolute shrinkage and selection operator （LASSO） regression analysis was used to preliminarily screen the predictive factors affecting the diagnosis of Qi deficiency and blood stasis syndrome in CHF. Subsequently， the Logistic regression method was applied to conduct a more in-depth and detailed analysis of these factors. Variables with P<0.05 in the results of the multi-factor Logistic regression were carefully selected and included. Based on the regression coefficients obtained from this analysis， a model was constructed， and a nomogram was accurately drawn. Using R software，the receiver operating characteristic （ROC） curve，calibration curve，and decision curve analysis （DCA） were precisely drawn. These analyses were used to comprehensively evaluate the model from three crucial aspects： discrimination，calibration，and clinical applicability. Additionally， the accuracy，specificity，sensitivity，positive predictive value，and negative predictive value of the model were meticulously calculated to conduct a more all-round and comprehensive assessment. ResultsIn total， 168 cases were successfully obtained in the training group， and 71 cases were included in the validation group. After a thorough comparison， it was found that there were no statistically significant differences in the baseline data between the two groups. After being rigorously screened by the LASSO-multivariate logistic regression method， dark red tongue，smoking history，cardiac troponin I，and N-terminal pro-B-type natriuretic peptide （NT-ProBNP） were identified as the influencing factors for diagnosing patients with the Qi deficiency and blood stasis syndrome in CHF. The constructed model demonstrated an area under the curve （AUC） of 0.812 in the training group and 0.719 in the validation group. The calibration curve showed that the predicted curve of the model was close to the actual observed curve. DCA indicated that the model could provide substantial clinical benefits for patients at the decision thresholds ranging from 0.2 to 0.9. ConclusionThe clinical prediction model for Qi deficiency and blood stasis syndrome in chronic heart failure constructed in this study shows good performance. It has certain application value in clinical practice， which may contribute to the improvement of the diagnosis and treatment of CHF patients with this syndrome.

Efficient screening constitutes a prerequisite for the research,development,generalization and application of characteristic external treatment techniques with Miao medicine featured by miscellaneous content as well as the coexistence of essence and dross,while the bottleneck lies in the absence of a screening indicators.Based on own features and current development status of characteristic external treatment techniques with Miao medicine,this study proposed a"three-stage"design thought involving qualitative exploration,tool research and development,and quantitative research in exploratory sequential design under the framework of mixed methods research.The present study systematically integrated qualitative and quantitative research methods as well as data to compensate for the shortcomings of single research paradigm-sourced data that was insufficient to comprehensively address various difficulties in the establishment of a screening indicators.It is expected to provide ideas and methodological references for establishing a screening indicators for characteristic external treatment techniques with Miao medicine.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

Inspection,the foremost of the four diagnostic methods in traditional Chinese medicine(TCM),refers to a clinical approach involving observation of the body's overall condition and specific regions to assess pathological conditions.This method holds an important position in the clinical diagnostic system of TCM.However,traditional inspection is limited by the subjectivity of physician experience and technological means,often resulting in inconsistent and subjective outcomes.With the advancement of science and technology,the generalized inspection diagnosis technology of smart TCM has emerged.This innovative approach integrates classical TCM diagnostic theories with digital-intelligent technologies,enabling accurate collection and intelligent analysis of physiological indicators related to spirit,complexion,physique,and postures.The development of a generalized inspection diagnosis system of smart TCM based on this technology is crucial for promoting the objectivity,precision,and intelligence of TCM diagnosis and treatment.This article proposes that the core feature of the generalized inspection diagnosis system of smart TCM is the analytical logic based on the classic theory of TCM.The framework design of the system can be divided into five modules:data acquisition,data processing,knowledge graph and reasoning,report generation,and report analysis.The limitations and future development trends in data annotation standardization,integration of TCM theory and algorithms are also discussed.The aim is to provide a new paradigm for precise diagnosis in TCM,and advance research and practical implementation of smart TCM generalized inspection.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.