ObjectiveTo provide a reference for the rational clinical use of cold Chinese medicines by sorting and analyzing their properties， flavors， meridian tropism， primary therapeutic indications， methods of administration， dosages， and precautions as recorded in the 2020 edition of Pharmacopoeia of the People's Republic of China （Chinese Pharmacopoeia）. MethodsCold Chinese medicines for internal and external use included in the 2020 edition of Chinese Pharmacopoeia were entered one by one， and their efficacy， properties， flavors， meridian tropism， methods of administration， dosages， and usage precautions were statistically classified and summarized to guide clinical medication use. ResultsA total of 259 cold Chinese medicines for internal use were included and categorized into 18 efficacy groups， mainly comprising heat-clearing drugs， water-excreting and dampness-draining drugs， and phlegm-resolving， cough- and asthma-relieving drugs. Their predominant flavors were bitter， sweet， and pungent， and they primarily entered the liver， lung， and stomach meridians. The main methods of administration included decocting first， grinding into powder for oral use， or preparing into pills or powders， with most dosages ranging from 9 to 15 g. A total of 83 cold Chinese medicines for external use were included， involving 16 efficacy categories. Their main flavors were bitter， sweet， and pungent， primarily entering the liver， lung， and large intestine meridians. The main external application methods were grinding into powder for topical use or preparing decoctions for fumigation and washing， with most dosages ranging from 9 to 15 g. Whether for internal or external use， cold Chinese medicines should be used with caution or contraindicated in pregnant women. ConclusionThe cold Chinese medicines included in the 2020 edition of the Chinese Pharmacopoeia are mainly suitable for patients with carbuncles， swellings， and coughs. However， in clinical practice， it is necessary to strictly follow the principles of syndrome differentiation and treatment， pay attention to administration methods and dosages， and use cold medicines rationally and effectively to improve clinical efficacy.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective:To develop a training content framework for hospice volunteers based on the competency model.Methods:This was a qualitative study. A draft of the training content framwork for hospice volunteers was first formed according to results of literature review and qualitative interviews based on the competency model. From December 2023 to March 2024, two rounds of Delphi consultation with 16 experts were conducted to develop the final version of the system, and the weights of each indicator were determined with analytic hierarchy process.Results:Among the 14 consulting experts who completed two rounds of consultation, including 10 females, all held intermediate or above professional titles, and their working years ranged from 10 to 34 years, covering fields of hospice care, nursing management, clinical nursing and nursing education. In two rounds of consultation the expert positive coefficient was 14/16 and 14/14, the expert authority coefficient was 0.882 and 0.893, and the Kendall coordination coefficient of all indicators was 0.109 and 0.161 ( P<0.01), the coefficient of variation was 0-0.31 and 0-0.19, respectively. The final version of the system consisted of 3 first-level indicators, 7 second-level indicators, 20 third-level indicators, and 55 specific training contents. The three first-level indicators were knowledge, skill, role and value, and the weight coefficients were 0.335, 0.313 and 0.352, respectively. Each judgment matrix was consistent. Conclusions:A training content system for hospice care volunteers has been developed in this study, which may be used for medical institutions and organizations to train hospice care volunteers.

Magnolol, a compound extracted from Magnolia officinalis, demonstrates potential efficacy in addressing metabolic dysfunction and cardiovascular diseases. Its biological activities encompass anti-inflammatory, antioxidant, anticoagulant, and anti-diabetic effects. Growth/differentiation factor-15 (GDF-15), a member of the transforming growth factor β superfamily, is considered a potential therapeutic target for metabolic disorders. This study investigated the impact of magnolol on GDF-15 production and its underlying mechanism. The research examined the pharmacological effect of magnolol on GDF-15 expression in vitro and in vivo, and determined the involvement of endoplasmic reticulum (ER) stress signaling in this process. Luciferase reporter assays, chromatin immunoprecipitation, and in vitro DNA binding assays were employed to examine the regulation of GDF-15 by activating transcription factor 4 (ATF4), CCAAT enhancer binding protein γ (CEBPG), and CCCTC-binding factor (CTCF). The study also investigated the effect of magnolol and ATF4 on the activity of a putative enhancer located in the intron of the GDF-15 gene, as well as the influence of single nucleotide polymorphisms (SNPs) on magnolol and ATF4-induced transcription activity. Results demonstrated that magnolol triggers GDF-15 production in endothelial cells (ECs), hepatoma cell line G2 (HepG2) and hepatoma cell line 3B (Hep3B) cell lines, and primary mouse hepatocytes. The cooperative binding of ATF4 and CEBPG upstream of the GDF-15 gene or the E1944285 enhancer located in the intron led to full-power transcription of the GDF-15 gene. SNP alleles were found to impact the magnolol and ATF4-induced transcription activity of GDF-15. In high-fat diet ApoE^-/- mice, administration of magnolol induced GDF-15 production and partially suppressed appetite through GDF-15. These findings suggest that magnolol regulates GDF-15 expression through priming of promoter and enhancer activity, indicating its potential as a drug for the treatment of metabolic disorders.
Lignans/pharmacology* ; Growth Differentiation Factor 15/metabolism* ; Animals ; Biphenyl Compounds/pharmacology* ; Endoplasmic Reticulum Stress/drug effects* ; Activating Transcription Factor 4/genetics* ; Mice ; Humans ; Male ; Magnolia/chemistry* ; CCAAT-Enhancer-Binding Proteins/genetics* ; Mice, Inbred C57BL

BACKGROUND:Gait dysfunction is one of the significant reasons for patient dissatisfaction following total knee arthroplasty.Clinical studies have identified a relationship between the preoperative strength of the quadriceps and hamstring muscles and postoperative gait dysfunction,but the exact nature of this correlation is not yet fully understood.OBJECTIVE:To investigate the correlation between the preoperative strength of the quadriceps and hamstring muscles and postoperative gait dysfunction in total knee arthroplasty.METHODS:A retrospective analysis was conducted on longitudinal data from 70 patients who underwent unilateral primary total knee arthroplasty.Preoperative measurements included peak torque of the extensor and flexor muscles,peak torque/body weight,and total work.Six months postoperatively,the Timed Up and Go Test and gait speed were measured.Ridge regression analysis was used to identify factors influencing postoperative gait function.RESULTS AND CONCLUSION:(1)Preoperative peak torque,peak torque/body weight,and total work of the extensor muscles,as well as the peak torque and total work of the flexor muscles,showed a very strong positive correlation with postoperative gait speed(P＜0.001).The preoperative flexor muscle peak torque/body weight had a strong positive correlation with postoperative gait speed(P＜0.001).Preoperative extensor and flexor muscle peak torques,peak torque/body weight,and total work showed a very strong negative correlation with results from postoperative Timed Up and Go Test(P＜0.001).(2)Ridge regression analysis indicated a 94.2％likelihood that preoperative extensor muscle peak torque,peak torque/body weight,and total work,along with flexor muscle peak torque and total work,had a positive impact on gait speed after total knee arthroplasty(P＜0.001).The preoperative flexor muscle peak torque/body weight had a negative impact on postoperative gait speed(P＜0.001).There was an 87.7％likelihood that preoperative extensor and flexor muscle peak torques,peak torque/body weight,and total work,along with flexor muscle peak torque and total work,had a negative impact on postoperative Timed Up and Go Test(P＜0.05),while the flexor muscle peak torque/body weight had no impact on the Timed Up and Go Test(P＞0.05).(3)It is indicated that the strength of the quadriceps and hamstring muscles prior to total knee arthroplasty correlates with postoperative gait speed and Timed Up and Go Test,and can predict the outcomes of postoperative gait function.Enhancing preoperative knee muscle exercises may be a way to reduce the incidence of gait dysfunction following total knee arthroplasty.

Objective:To develop a training content framework for hospice volunteers based on the competency model.Methods:This was a qualitative study. A draft of the training content framwork for hospice volunteers was first formed according to results of literature review and qualitative interviews based on the competency model. From December 2023 to March 2024, two rounds of Delphi consultation with 16 experts were conducted to develop the final version of the system, and the weights of each indicator were determined with analytic hierarchy process.Results:Among the 14 consulting experts who completed two rounds of consultation, including 10 females, all held intermediate or above professional titles, and their working years ranged from 10 to 34 years, covering fields of hospice care, nursing management, clinical nursing and nursing education. In two rounds of consultation the expert positive coefficient was 14/16 and 14/14, the expert authority coefficient was 0.882 and 0.893, and the Kendall coordination coefficient of all indicators was 0.109 and 0.161 ( P<0.01), the coefficient of variation was 0-0.31 and 0-0.19, respectively. The final version of the system consisted of 3 first-level indicators, 7 second-level indicators, 20 third-level indicators, and 55 specific training contents. The three first-level indicators were knowledge, skill, role and value, and the weight coefficients were 0.335, 0.313 and 0.352, respectively. Each judgment matrix was consistent. Conclusions:A training content system for hospice care volunteers has been developed in this study, which may be used for medical institutions and organizations to train hospice care volunteers.

BACKGROUND:Gait dysfunction is one of the significant reasons for patient dissatisfaction following total knee arthroplasty.Clinical studies have identified a relationship between the preoperative strength of the quadriceps and hamstring muscles and postoperative gait dysfunction,but the exact nature of this correlation is not yet fully understood.OBJECTIVE:To investigate the correlation between the preoperative strength of the quadriceps and hamstring muscles and postoperative gait dysfunction in total knee arthroplasty.METHODS:A retrospective analysis was conducted on longitudinal data from 70 patients who underwent unilateral primary total knee arthroplasty.Preoperative measurements included peak torque of the extensor and flexor muscles,peak torque/body weight,and total work.Six months postoperatively,the Timed Up and Go Test and gait speed were measured.Ridge regression analysis was used to identify factors influencing postoperative gait function.RESULTS AND CONCLUSION:(1)Preoperative peak torque,peak torque/body weight,and total work of the extensor muscles,as well as the peak torque and total work of the flexor muscles,showed a very strong positive correlation with postoperative gait speed(P＜0.001).The preoperative flexor muscle peak torque/body weight had a strong positive correlation with postoperative gait speed(P＜0.001).Preoperative extensor and flexor muscle peak torques,peak torque/body weight,and total work showed a very strong negative correlation with results from postoperative Timed Up and Go Test(P＜0.001).(2)Ridge regression analysis indicated a 94.2％likelihood that preoperative extensor muscle peak torque,peak torque/body weight,and total work,along with flexor muscle peak torque and total work,had a positive impact on gait speed after total knee arthroplasty(P＜0.001).The preoperative flexor muscle peak torque/body weight had a negative impact on postoperative gait speed(P＜0.001).There was an 87.7％likelihood that preoperative extensor and flexor muscle peak torques,peak torque/body weight,and total work,along with flexor muscle peak torque and total work,had a negative impact on postoperative Timed Up and Go Test(P＜0.05),while the flexor muscle peak torque/body weight had no impact on the Timed Up and Go Test(P＞0.05).(3)It is indicated that the strength of the quadriceps and hamstring muscles prior to total knee arthroplasty correlates with postoperative gait speed and Timed Up and Go Test,and can predict the outcomes of postoperative gait function.Enhancing preoperative knee muscle exercises may be a way to reduce the incidence of gait dysfunction following total knee arthroplasty.

Lung cancer (LC) is the leading cause of death among patients with cancer both in worldwide and China. China accounts for 11.4% of the total number of cancer cases and 18.0% of the total number of cancer deaths in the world. Standardizing the diagnosis and treatment of LC is a key measure to improve the survival rate of LC patients and reduce the mortality rate. However, county hospitals generally face the problem of inaccessibility to advanced diagnostic and treatment technologies. Therefore, when developing quality control standards and clinical diagnosis and treatment specifications, it is necessary to combine the actual situation of county hospitals and formulate specific recommendations. The recommendations of treatment measures also need to consider the approval status of indications and whether it is included in the National Reimbursement Drug List (NRDL), to ensure the access to medicines. In order to solve the above problems, based on existing guidelines at home and abroad and the clinical work characteristics of county hospitals, the first clinical pathway in Chinese county for LC diagnosis and treatment (2023 edition) was compiled. This pathway elaborated on the imaging diagnosis, pathological diagnosis, molecular testing, and precision medicine based on histological-pathological types, tumor-node-metastasis (TNM) classification, and molecular classification, developed different diagnosis and treatment processes for different types of LC patients. Simultaneously, according to the actual work situation of county hospitals, the diagnosis and treatment recommendations in clinical scenarios are divided into basic strategies and optional strategies for elaboration. The basic strategies are the standards that county hospitals must meet, while the optional strategies provide more choices for hospitals, which are convenient for county doctors to put into clinical practice. All the recommended diagnostic and treatment plans strictly refer to existing guidelines and consensus, ensuring the scientificity.

In the era of precision medicine,patients with lung cancer receive molecular subtype-based personalized management.The un-met clinical need initiated the concept of adaptive therapy,a novel personalized treatment strategy referring to the biomarker-directed treatment escalation or de-escalation based on the standard of care,aiming to improve efficacy,quality of life,and cost efficiency.Biomark-ers are validated under specific clinical scenarios to dynamically and stably predict disease-free status or efficacy.The optimal clinical scen-arios for adaptive therapy comprises post-treatment and radiologically lesion-free or metabolically inactive disease status.Several promising clinical situations are exploring de-escalation therapy,including epidermal growth factor receptor(EGFR)-mutated,totally resected non-small cell lung cancer(NSCLC),driver gene-negative,totally resected NSCLC,driver gene-negative,radiochemotherapy-treated,locally advanced NSCLC,and drug holidays for metastatic NSCLC.Therefore,circulating tumor DNA-minimal residual disease,(ctDNA-MRD)is considered an important biomarker.Concerning escalation therapy,this field is less well-supported with results,demanding further exploration.Related to future perspectives,more effort should be invested in focusing on patients with unmet clinical needs,even those with a standard of care,and providing biomarker-based adaptive therapy for efficacy and efficiency improvement.