ObjectiveTo evaluate the efficacy and safety of Janus kinase （JAK） inhibitors combined with Chinese herbal medicine （CHM） in treating rheumatoid arthritis （RA）. MethodsClinical data from 169 RA patients were retrospectively collected. Among them， 71 cases received JAK inhibitors as the control group， while 98 cases received JAK inhibitors plus CHM as the observation group， both treated for 24 weeks. The rheumatoid factor （RF）， cyclic citic peptide antibody （anti-CCP）， erythrocyte sedimentation rate （ESR）， C-reactive protein （CRP）， and white blood cell count （WBC） were recorded before and after treatment. Databases including CNKI， Wanfang， VIP， PubMed and Web of Science were searched from inception till August 31st， 2025 for randomized controlled trials （RCTs） on the combined use of JAK inhibitors and CHM for RA. The methodological quality of the included studies was evaluated using the risk of bias assessment tool. Meta-analyses were performed for RF， anti-CCP， ESR， CRP， 28-joint disease activity score （DAS28）， overall clinical effective rate， and incidence of adverse events. Sensitivity analysis were also performed. ResultsThe retrospective study demonstrated that after treatment， ESR， CRP， and anti-CCP levels decreased in the observation group， while ESR and CRP levels decreased in the control group （P＜0.05）. Moreover， ESR and RF levels in the observation group were lower than those in the control group （P＜0.05）. A total of 9 RCTs involving 770 patients were included in the meta-analysis. The results indicated that the JAK inhibitors plus CHM group was superior to the JAK inhibitors group in reducing RF （MD=-8.97， 95%CI -15.01 to -2.94， P=0.004）， CRP （MD=-3.34， 95%CI -3.82 to -2.86， P＜0.001）， ESR （MD=-5.33， 95%CI -7.98 to -2.69， P＜0.001）， and DAS28 score （MD=-0.54， 95%CI -0.74 to -0.34， P＜0.001）， as well as in improving the overall clinical effective rate （OR=4.53， 95%CI 2.55 to 8.03， P＜0.001）. No statistically significant differences were observed between groups in anti-CCP levels （SMD=-2.08， 95%CI -4.41 to 0.24， P=0.080） or incidence of adverse events （OR=0.93， 95%CI 0.55 to 1.57， P=0.790）. ConclusionThe combination of JAK inhibitors and CHM demonstrates remarkable efficacy in treating RA， contributing to improved disease activity and reduced inflammatory markers with a favorable safety profile.

Objective To investigate the relationship between stationing years of personnel on an island and their traditional Chinese medicine(TCM)constitution,thus providing a reference for adjusting the health status of stationed personnel,preventing and treating diseases.Methods Based on The Scale of Constitution in Chinese Medicine Questionnaire,TCM constitution of 734 personnel stationed on an island was investigated.Pearson χ2 method was used for data analysis.Results Of the 734 personnel stationed on an island 345(47.0%)were of the balanced constitution type and 389(53.0%)were of the biased constitution types.Among the people with biased constitution types,composite constitution accounted for 80.5%(313 people)and the simple accounted for the rest(19.5%,76 people).The top three types of the biased were dampness heat(15.2%),qi deficiency(14.0%),and yin deficiency(10.7%).The distribution of TCM constitution types was significantly different in terms of stationing years on the island(P<0.05).There was a significant difference in the balanced type and yin deficiency type between people with stationing time≤2 years and>8 years(P<0.05).There was a significant difference in qi deficiency type and qi depression type between people with stationing time≤2 years and>5 years(P<0.05).Compared to people with stationing time≤2 years,significant difference was found in yang deficiency type in people with stationing time ranging from 2 to 5 years and those with>8 years(P<0.05).There were significant differences in the phlegm dampness type,blood stasis type,and specific diathesis type between people with stationing time≤2 years and people with stationing time ranging from>2～5 years and>8 years(P<0.05).There were significant differences in the dampness heat type between people with stationing time≤2 years and people with stationing time ranging from>5～8 years and>8 years,between pepole with stationing time ranging from>2～5 years and people with stationing time>8 years(P<0.05).Conclusion The dampness heat type,qi deficiency type and yin deficiency type are common biased TCM constitution in personnel stationed on islands.The longer the time spent on islands,the greater the possibility of forming biased constitution.

Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Energy metabolism reprogramming is one of the pathological mechanisms involved in the occurrence and development of tumors.This article focused on the theory of spleen deficiency in TCM and energy metabolism reprogramming to elaborate the pathological mechanism of tumors.TCM believes that spleen deficiency is an important organ pathogenesis that causes cancer due to deficiency,and spleen deficiency runs through the occurrence and development of tumors.The spleen is the source of qi and blood transformation and dominates the energy metabolism of the whole body.Mitochondria are the regulatory center of energy metabolism in the body,and abnormal mitochondrial energy metabolism is the manifestation of spleen deficiency at the cellular micro level,which is mainly manifested as the limitation of mitochondrial oxidative phosphorylation and the conversion to aerobic glycolysis to provide energy for the rapid growth of tumors.Therefore,based on the theory of spleen deficiency,the treatment based on spleen strengthening is used to prevent and treat tumors by improving energy metabolism,which not only enriches the modern medical connotation of spleen deficiency in TCM,but also provides a new perspective for TCM to treat malignant tumors from the perspective of spleen strengthening.

Acute lateral ankle sprain (ALAS) is one of the most common sport injuries, with high incidence, recurrence and disability rates. Currently, exercise rehabilitation-based non-surgical treatment is the primary management approach for ALAS. However, there remain improper practices such as excessive immobilization or uncontrolled activity, which contribute to recurrent sprains and chronic ankle instability, significantly impairing patients′ athletic function and quality of life. To standardize the non-surgical management of ALAS, improve the cure rates, and reduce the recurrence and disability rates, Chinese Sports Rehabilitation Medicine Training Project of Chinese Medical Association, Foot and Ankle Basics and Orthopedics Group, Orthopedic Branch of Chinese Medical Doctor Association, and Sports Medicine Branch of Jiangsu Medical Association organized relevant experts to formulate Expert consensus on non-surgical treatment for acute lateral ankle sprain ( version 2025), following the principles of scientific vigor, practicality, and innovation. Thirteen recommendations were proposed for standardized treatment protocols across different healing phases, aiming to provide references for standard management of ALAS and improve the therapeutic outcomes.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Energy metabolism reprogramming is one of the pathological mechanisms involved in the occurrence and development of tumors.This article focused on the theory of spleen deficiency in TCM and energy metabolism reprogramming to elaborate the pathological mechanism of tumors.TCM believes that spleen deficiency is an important organ pathogenesis that causes cancer due to deficiency,and spleen deficiency runs through the occurrence and development of tumors.The spleen is the source of qi and blood transformation and dominates the energy metabolism of the whole body.Mitochondria are the regulatory center of energy metabolism in the body,and abnormal mitochondrial energy metabolism is the manifestation of spleen deficiency at the cellular micro level,which is mainly manifested as the limitation of mitochondrial oxidative phosphorylation and the conversion to aerobic glycolysis to provide energy for the rapid growth of tumors.Therefore,based on the theory of spleen deficiency,the treatment based on spleen strengthening is used to prevent and treat tumors by improving energy metabolism,which not only enriches the modern medical connotation of spleen deficiency in TCM,but also provides a new perspective for TCM to treat malignant tumors from the perspective of spleen strengthening.

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Objective To investigate the modeling of Henoch-Sch?nlein purpura nephritis based on data mining,and to provide a reference for the preparation of a standardized Henoch-Sch?nlein purpura nephritis animal model.Methods We searched the CNKI,Wanfang Data,VIP,China Biomedical Literature Database,and PubMed Chinese-English Database by computer to obtain studies of animal experiments relating to Henoch-Sch?nlein purpura nephritis in the past 20 years.The species,modeling method,dosage,dosing cycle,modeling standards,and detection indexes were screened manually,and a database was established by using Microsoft Excel 2021 software for statistical analysis.The association rules of high-frequency indicators were analyzed using SPSS Modeler 18.0,and Cytoscape 3.6.1 was used to visually upgrade the association network diagram.Results A total of 106 articles that met the inclusion criteria were summarized.SD rats and KM mice were the mostly commonly used animal models of Henoch-Sch?nlein purpura nephritis and most studies used drug-induced models.Bovine serum albumin(BSA)+lipopolysaccharide(LPS)+carbon tetrachloride(CCl4)+castor oil,ovalbumin(OVA)+Freund's complete adjuvant,gliadin+Indian ink,and BSA+staphylococcal enterotoxin B(SEB)were used to produce the animal models,generally with cycles of 5～14 weeks.The standard of modeling was skin purpura and increased numbers of urine red blood cells.Proteinuria,glomerular mesangial hyperplasia in kidney tissue,and immune complex mainly composed of immunoglobulin A(IgA)deposited in small blood vessels indicated successful modeling.There were 36 medical indexes,including 23 indexes related to the kidney and urine and nine indexes related to blood.Among these,10 indexes,such as 24 h urine protein quantification,interleukin,renal pathology,urine red blood cell count,IgA,circulating immune complex and creatinine were used in≥10%of cases.Cluster analysis of high-frequency indicators showed that the comprehensive evaluation model of 24 h urinary protein quantification+interleukin+renal pathology+urinary red blood cell count+IgA was mostly used.Conclusions Most existing animal models of Henoch-Sch?nlein purpura nephritis have used male SD rats or female Kunming mice,and most models were induced by drugs.Among these,the method of stasis-heat syndrome combined with IgA nephropathy(disease-syndrome combination method)has the advantages of good repeatability and a high modeling rate,and may thus provide a reference for the selection of animal experimental models of Henoch-Sch?nlein purpura nephritis.