ObjectiveThis paper aims to conduct the feature analysis and correlation analysis on the ocular collateral features and differential metabolites in patients with chronic hepatitis B （CHB） complicated by glucose metabolism disorder （GMD），particularly those with the damp-heat syndrome type，by integrating shadowless scleral imaging and metabolomics technologies. MethodsA total of 313 patients were recruited from the Hepatology and Endocrinology Outpatient Departments of Public Health Clinical Center of Chengdu according to the inclusion/exclusion criteria，and they were divided into a CHB group and a CHB complicated by GMD groups （damp-heat syndrome group and non-damp-heat syndrome group）. All patients underwent high-definition ocular image acquisition and feature extraction using an intelligent analysis system for shadowless scleral imaging to analyze the differences in the counting of morphological feature scores of ocular collaterals among groups. By using a digital sampling method，24 patients from each group were randomly selected，along with 20 healthy volunteers，for untargeted metabolomic analysis of peripheral serum. Differential metabolites were identified，statistically analyzed，and subjected to potential biomarker analysis and pathway enrichment. Spearman method was performed to conduct the correlation analysis on the differential ocular collateral features and differential metabolites，followed by correlation network construction. ResultsCompared with those in the CHB group，patients with CHB complicated by GMD showed significant changes in ocular collateral feature scores such as "hillock"，"blood vessels"，and "pale dusky coloration" （P<0.05）. In comparison with those in the healthy group，metabolites including N-acetylglucosamine，acetylhomoserine，and myo-inositol （AUC>0.7） were identified as potential biomarkers for the disease. Compared with those in the CHB complicated by GMD group with non-damp-heat syndrome，patients with damp-heat syndrome exhibited significant changes in feature scores of "plaques"，"yellow coloration"，"spleen"，and "gallbladder" （P<0.05）. In comparison with those in the healthy group，metabolites such as O²′-4a-cyclic tetrahydrobiopterin，theobromine，xanthurenic acid，and L-glutamic acid 5-phosphate （AUC>0.7） were identified as potential biomarkers for the damp-heat syndrome type. The Spearman correlation analysis reveals weak to moderate linear correlations between the differential scleral collateral features and metabolites. By constructing a "disease-syndrome" network of ocular diagnosis and metabolites，"xanthurenic acid-gallbladder" and "theobromine-plaque/yellow coloration" were identified as specific molecular-phenotypic correlated biomarker clusters for CHB complicated by GMD with dampness-heat syndrome. ConclusionPatients with CHB complicated by GMD demonstrate differential ocular diagnostic features and serum metabolites corresponding to disease states and dampness-heat syndrome. These objective biomarkers can guide both clinical syndrome differentiation and medication. The macro-micro integration based on ocular feature clusters and potential metabolic biomarkers offers an innovative approach to a combined traditional Chinese and Western medicine diagnosis and treatment model for this disease.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To explore the feasibility, safety, and effectiveness of a novel suture instrument for closure of full thickness defects of the gastric wall under gastroscopy.Methods:Ten pigs were used as experimental animals. Perforation model (30 mm in long diameter) was created in the stomach of each pig. The perforations were then closed by the novel suture instrument under gastroscopy. The completion time and efficacy of each perforation repair were recorded. The pigs were euthanized 14 days after the procedure. The healing condition was observed under gastroscopy. A postmortem examination was performed to observe the abdominal infection and healing condition of perforation. Ascites sample was taken for bacterial culture.The stomach biopsy were taken for histopathologic examination.Results:All gastric perforation models in the 10 pigs were established successfully. Endoscopic closure for the stomach perforation was technically successful in all 10 pigs. The procedure time was 34.10±10.32 minutes. All animals survived. Gastroscopy and necropsy showed that the perforation healed well with local adhesion. One pig developed abdominal infection. Ascites culture were negative in 9 cases, 1 bacterial infection was caused by Arcanobacterium pyogenes and Escherichiacoli. The pathology results showed that the muscular layer of the gastric wall defect in the entire group was well repaired. Conclusion:The novel suture instrument is safe and effective in repairing full-thickness gastric wall defects under ordinary single clamp gastroscopy, providing an experimental basis for further clinical research.

Background and Aims:Pancreatic cancer is one of the most aggressive malignancies of the digestive system and is associated with an inferior prognosis.In recent years,its incidence has shown a trend toward younger onset.Early-onset pancreatic cancer(EOPC),defined as pancreatic cancer diagnosed at≤50 years of age,has been increasing annually and may possess distinct biological and prognostic characteristics.Given the limited data from China,this study aimed to investigate the clinicopathological features and prognostic outcomes of EOPC patients.Methods:Clinical data of 113 patients with EOPC admitted to Xiangya Hospital,Central South University,from January 2017 to December 2023 were retrospectively analyzed.Variables included demographic characteristics,clinicopathological features,and survival information.Kaplan-Meier survival curves were plotted,and differences in survival between the surgical and non-surgical groups were compared.Results:The median age at diagnosis was 46(42-49)years,and males accounted for 65.49%of cases.Blood type A(40.71%)and type O(34.51%)were most common.The main presenting symptoms were abdominal pain(69.91%),weight loss(62.83%),jaundice(43.36%),and abdominal distension(36.28%).Imaging findings showed bile duct dilation in 32.74%,pancreatic duct dilation in 39.82%,vascular invasion in 59.29%,and distant metastasis in 52.21%of patients.Histopathology revealed that adenocarcinoma and ductal adenocarcinoma accounted for 93.81%of all cases,with predominantly moderate or poor differentiation(76.10%).Tumors were the most frequently located in the pancreatic head(65.42%).TNM staging showed lymph node metastasis in 77.88%and stage Ⅳ disease in 52.21%.Laboratory tests demonstrated markedly elevated CA19-9 levels.Kaplan-Meier analysis indicated a median overall survival of 18.6 months for the entire cohort,with significantly longer survival in the surgical group compared with the non-surgical group(29.4 months vs.13.8 months,P=0.001 5).Conclusion:EOPC predominantly affects males and tends to arise in the pancreatic head.It is often diagnosed at an advanced stage or with distant metastasis and is characterized by poor differentiation and strong invasiveness.Surgical resection markedly improves survival and remains the key to prolonged prognosis.Young individuals presenting with unexplained abdominal pain,weight loss,or jaundice should be carefully evaluated through imaging to enable early diagnosis and timely surgical intervention.Future multicenter,large-sample prospective studies are warranted to validate these findings further.

Objective:To analyze the characteristics of highly cited articles on spine and spinal cord injuries published in Chinese Journal of Trauma (hereinafter referred to as the "Journal") from 1985 to 2024. Methods:All the articles related to spine and spinal cord injuries published in the Journal from 1985 to 2024 were retrieved from the Wanfang Database and the articles with citation frequency ≥15 times were defined as highly cited, with the retrieval cut-off date of April 15, 2025. For articles related to spine and spinal cord injuries, the total publication count, number of cited articles, total citation frequency, average citation frequency per article, number of fund-supported articles were recorded and analyzed. For the highly cited articles among them, the total number of articles, types of literature, distribution periods, number of fund-supported articles, core authors, institution distribution, region distribution, frequency of and key words were also statistically analyzed.Results:From 1985 to 2024, the Journal published 1 182 articles on spinal and spinal cord injuries, of which 993 (84.01%) were cited, with a total citation frequency of 10 739 and an average of 10.81 citations per article. A total of 388 articles (32.83%) were supported by research funds. There were 184 highly cited articles on spinal and spinal cord injuries, with the following characteristics: (1) The most common type of highly cited literature was original articles (150 articles, 81.52%), while consensus and guideline articles achieved the highest average citation rate (44.75 citations per article). (2) The period 2015-2019 had the highest number of highly cited articles, accounting for 33.70%. (3) Fifty-four highly cited articles (29.35%) were supported by research funds, including 19 by national-level funds and 35 by funds of other levels. (4) Among the highly cited articles, 8 (4.35%) were authored by one person, and 176 (95.65%) were co-authored by two or more persons. Sixty-two authors who published ≥3 highly cited articles were identified as core authors. (5) A total of 123 highly cited articles (66.85%) were authored by researchers affiliated with a single institution, whereas 61 articles (33.15%) were the result of inter-institutional collaboration. Fifteen first-author institutions published≥3 highly cited articles. (6) Regions with ≥15 highly cited articles were Zhejiang Province (28 articles), Chongqing Municipality (23 articles), Guangdong Province (18 articles), Shaanxi Province (18 articles), Jiangsu Province (16 articles), and Shanghai Municipality (15 articles). (7) The top five key words in the highly cited articles were "spinal fractures" (71 times), "thoracic vertebrae" (45 times), "lumbar vertebrae" (44 times), "spinal cord injuries" (27 times), and "vertebroplasty" (27 times).Conclusions:Over the 40-year period, original articles constitute the majority of highly cited articles on spine and spinal cord injuries in the Journal, while consensus and guideline articles demonstrate the highest average citation frequency. Nearly 30% of the highly cited articles receive research funding support. Core authors and institutions show a relatively concentrated distribution, with spinal fractures, spinal cord injuries, and vertebroplasty emerging as research hotspots in the field.

Objective To conduct a scoping review of the intervention design and application status of intelligent interactive cognitive-motor training(IICMT)in fall prevention among older adults,providing references for subsequent research in this field.Methods Following the scoping review framework,systematic searches were conducted in PubMed,Web of Science,Embase,Cochrane Library,CINAHL,Scopus,IEEE Xplore,Chinese Biomedical Literature Database,CNKI,Wanfang Database,and VIP Database from their inception to September 17,2024.The included studies were analyzed and summarized.Results A total of 19 articles were included.The main intelligent interactive technologies included virtual reality,commercial games,computer touch sensing,wearable devices,and infrared sensing,typically combining basic cognitive ability training,advanced cognitive function training,spatial cognitive training,and comprehensive application training with functional activity training such as balance and coordination,gait and strength,stair climbing,and obstacle avoidance.Assessment indicators included balance and gait,fall risk and self-efficacy,physiological indicators,muscle strength,postural stability,physical function,as well as feasibility and safety assessments.Conclusion IICMT is safe and feasible among older adults,and can improve balance and fall efficacy,reducing the risk of falls.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

AIM To compare total sugar,total protein,total phenol,total flavonoid,calycosin-7-O-β-D-glucoside,liquiritin,lobetyolin,quercetin,isoferulic acid,hesperidin,glycyrrhizic acid contents and their antioxidant activities,hypoglycemic activities of big honey pill,small honey pill,water pill,concentrated pill,granule,mixture and decoction of Buzhong Yiqi Recipe.METHODS Anthraquinone-sulfuric acid method,Coomassie brilliant blue method,Folin-phenol colorimetry method,sodium nitrite-aluminum nitrate method and HPLC were adopted in the content determination of total sugar,total protein,total phenol,total flavonoid and seven constituents,respectively,after which the scavenging capacities,reducing powers on DPPH·free radical,ABTS+free radical,hydroxyl free radical,and inhibition capacity on α-glucosidase activity were detected.Subsequently,correlation analysis was performed.RESULTS Total sugar,total protein,total phenol and total flavonoid contents demonstrated significant differences among different dosage forms(P＜0.05,P＜0.01).Calycosin-7-O-β-D-glucoside,glycyrrhizin,codonoside and quercetin displayed the highest contents in the decoction,while those of isoferulic acid,hesperidin and glycyrrhizin were observable in the mixture.The water pill exhibited the strongest antioxidant activity,while those of the concentrated pill and mixture were weak;the big honey pill exhibited the strongest hypoglycemic activity,while that of the decoction was the weakest.Total protein,total phenol,total flavonoid and liquiritin contents displayed significant positive correlations between antioxidant activity(P＜0.05,P＜0.01),while hesperidin content displayed significant negative correlation between the latter(P＜0.05);total protein,calycosin-7-O-β-D-glucoside,codonoside and quercetin contents displayed significant negative correlations between hypoglycemic activity(P＜0.05,P＜0.01).CONCLUSION Active constituent contents and their biological activities of Buzhong Yiqi Recipe with different dosage forms exist differences,total sugar,total protein,total flavonoids,calycosin-7-O-β-D-glucoside,licorice glycoside,hesperidin,codonoside and quercetin can be taken as quality control indices for this prescription.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.

Objective:To analyze the characteristics of highly cited articles on spine and spinal cord injuries published in Chinese Journal of Trauma (hereinafter referred to as the "Journal") from 1985 to 2024. Methods:All the articles related to spine and spinal cord injuries published in the Journal from 1985 to 2024 were retrieved from the Wanfang Database and the articles with citation frequency ≥15 times were defined as highly cited, with the retrieval cut-off date of April 15, 2025. For articles related to spine and spinal cord injuries, the total publication count, number of cited articles, total citation frequency, average citation frequency per article, number of fund-supported articles were recorded and analyzed. For the highly cited articles among them, the total number of articles, types of literature, distribution periods, number of fund-supported articles, core authors, institution distribution, region distribution, frequency of and key words were also statistically analyzed.Results:From 1985 to 2024, the Journal published 1 182 articles on spinal and spinal cord injuries, of which 993 (84.01%) were cited, with a total citation frequency of 10 739 and an average of 10.81 citations per article. A total of 388 articles (32.83%) were supported by research funds. There were 184 highly cited articles on spinal and spinal cord injuries, with the following characteristics: (1) The most common type of highly cited literature was original articles (150 articles, 81.52%), while consensus and guideline articles achieved the highest average citation rate (44.75 citations per article). (2) The period 2015-2019 had the highest number of highly cited articles, accounting for 33.70%. (3) Fifty-four highly cited articles (29.35%) were supported by research funds, including 19 by national-level funds and 35 by funds of other levels. (4) Among the highly cited articles, 8 (4.35%) were authored by one person, and 176 (95.65%) were co-authored by two or more persons. Sixty-two authors who published ≥3 highly cited articles were identified as core authors. (5) A total of 123 highly cited articles (66.85%) were authored by researchers affiliated with a single institution, whereas 61 articles (33.15%) were the result of inter-institutional collaboration. Fifteen first-author institutions published≥3 highly cited articles. (6) Regions with ≥15 highly cited articles were Zhejiang Province (28 articles), Chongqing Municipality (23 articles), Guangdong Province (18 articles), Shaanxi Province (18 articles), Jiangsu Province (16 articles), and Shanghai Municipality (15 articles). (7) The top five key words in the highly cited articles were "spinal fractures" (71 times), "thoracic vertebrae" (45 times), "lumbar vertebrae" (44 times), "spinal cord injuries" (27 times), and "vertebroplasty" (27 times).Conclusions:Over the 40-year period, original articles constitute the majority of highly cited articles on spine and spinal cord injuries in the Journal, while consensus and guideline articles demonstrate the highest average citation frequency. Nearly 30% of the highly cited articles receive research funding support. Core authors and institutions show a relatively concentrated distribution, with spinal fractures, spinal cord injuries, and vertebroplasty emerging as research hotspots in the field.