Objective To systematically analyze the literature characteristics of Journal of Organ Transplantation since its inception. Methods Using the China National Knowledge Infrastructure (CNKI) academic journal full-text database as the data source, all articles published in the Journal of Organ Transplantation from January 2010 to August 2025 were retrieved. After excluding non-academic papers, a total of 1 568 research papers were included. R language 4.3.0, Bibliometrix package 3.2.1, and Citespace software were used to analyze the number of publications, publishing institutions, authors, keywords and other aspects. Results The number of publications in Journal of Organ Transplantation increased from an average of 82 articles per year in the early years after its inception to 113 articles per year in recent years, a growth of 37.8%. The geographical distribution of publishing institutions covers 32 provinces, cities and autonomous regions nationwide, mainly concentrated in the South China, East China and North China regions, and has now basically covered the central and western regions in recent years. The author collaboration network includes 45 authors distributed across 7 major collaboration clusters, forming a stable multi-level national research system centered on key university-affiliated hospitals. The high-frequency keywords are dominated by "liver transplantation" (425 times) and "kidney transplantation" (396 times). The theme evolution shows a clear three-stage characteristic: initially focusing on clinical technology application, deepening to immune mechanism exploration in the middle stage, and recently (since 2022) focusing on cutting-edge research areas such as xenotransplantation. Conclusions Journal of Organ Transplantation has witnessed the rapid development of China's organ transplantation cause, fully reflecting the research status and trends in China's organ transplantation field, and has provided an important platform for the future development and international cooperation in China's organ transplantation field.

Cornelia de Lange syndrome （CdLS） is a rare genetic disorder characterized by multisystem developmental abnormalities， with its core pathogenic mechanism closely linked to dysfunction of the cohesin complex. Integrated multi‑omics evidence revealed that cohesin dysfunction disrupted three‑dimensional chromatin architecture and epigenetic homeostasis， triggered genome‑wide transcriptional dysregulation， and perturbed the regulatory networks of signaling pathways such as Wnt/β‑catenin， TGF‑β/BMP， and Sonic Hedgehog （SHH）. These disturbances collectively drove multisystem phenotypes involving the neurological， cardiovascular and skeletal systems， and laid a theoretical foundation for further understanding of the pathological mechanisms of CdLS and optimizing molecular diagnosis. This review summarized the genetic basis （including epigenetic dysregulation mechanisms） and disruption of key developmental signaling pathways in CdLS，and discussed strategies for optimizing molecular diagnosis.

Objective To explore the epidemiological characteristics of gouty arthritis in Northwest China from 2023 to 2025, and to formulate preventive intervention measures. Methods By retrospectively analyzing the case data of medical institutions in Northwest China from January 2023 to June 2025 (a total of 8 139 cases), the incidence trend and population distribution characteristics of gouty arthritis in this area were analyzed. Multivariate logistic regression analysis was performed to identify risk factors. Results From 2023 to 2025, the prevalence rate of gouty arthritis in adult residents in Northwest China was 3.74% (304/8 139). Among the sites affected by gouty arthritis, the metatarsophalangeal joint accounted for the highest proportion (P<0.05). From the perspective of age distribution, the prevalence rate was the highest in 40-59 years old group (5.90%), followed by 66-80 years old group (4.21%) and >80 years old group (2.75%). The incidence rate in 40-65 years old group was higher than that in the other age groups (P<0.05). High blood uric acid and creatinine, alcohol drinking, obesity, high purine diet, concurrent chronic kidney disease and metabolic syndrome were risk factors affecting gouty arthritis in Northwest China (P<0.05). Conclusion High blood uric acid level, high creatinine level, alcohol drinking, obesity, high purine diet, concurrent chronic kidney disease and metabolic syndrome are risk factors influencing gouty arthritis in Northwest China. Based on the above factors, this study proposes comprehensive prevention strategies from the individual, community and public health levels to provide a scientific basis for reducing the incidence rate of gouty arthritis.

SUMMARY Hip fractures are common in elderly patients and are associated with significant morbidity and mortality,often referred to as the"last fracture of life".These fractures frequently result in a loss of functional independence.Evidence suggests that early surgical intervention can reduce mortality.The selection of treatment modality should take into account factors such as the type of fracture,the patient's age,and overall health status.This case report discusses an 88-year-old female patient who sustained an unstable intertrochanteric fracture of the left femur following a fall.She underwent closed reduction and internal fixation using an InterTAN intramedullary nail,resulting in a satisfactory postoperative recovery.Sixteen months following the surgical procedure,the patient presented with progressive pain in the left hip and ambulatory difficulties,absent from any evident trauma.Radiographic analysis identified a fracture of the left femoral neck accompanied by some degree of acetabular bone degradation attributable to the im-plant.Subsequently,the patient underwent removal of the internal fixation device and received a hemiar-throplasty.The postoperative course was uneventful,with marked improvements in both pain levels and functional capacity.This case underscored the intricate nature of femoral neck fractures following the internal fixation of intertrochanteric fractures.Contributing factors may include advanced age,osteoporo-sis,and stress shielding induced by the implant.In patients presenting with hip pain or gait disturbances months to years post-intertrochanteric fracture surgery,the potential for a new fracture should be consi-dered,even in the absence of an explicit traumatic incident.Radiographic imaging is imperative to exclude the presence of a fracture,particularly in individuals with high-risk factors such as advanced age,osteo-porosis,alcohol abuse,and a history of hormone therapy.Management of such cases may necessitate the removal of internal fixation devices and the implementation of hemiarthroplasty or total hip arthroplasty,contingent upon the patient's surgical tolerance.Crucially,anti-osteoporosis therapy serves as a vital pre-ventive strategy.Considering the high-risk profile of elderly patients with hip fractures,diligent follow-up and timely intervention are paramount to mitigating complications and mortality,thereby enhancing the quality of life for these patients.This case highlights the critical need for increased vigilance and compre-hensive management of elderly patients with hip fractures to enhance treatment outcomes and improve prognosis.

This study analyzed soil-transmitted nematode infection surveillance data for children 3-9 years of age in Shaanxi Province from 2016 to 2023,to provide a scientific basis for control strategies for soil-transmitted nematode infections in children in the province.Since 2016,according to the requirements of the National Schistosomiasis and Soil-transmitted Nematode Surveillance Program(Trial),several counties and districts in Shaanxi Province were selected as surveillance sites every year.According to geo-graphical position,the surveillance sites were divided into five areas:east,west,south,north and middle,and one administrative vil-lage(community)was selected in each area for monitoring.The eggs of soil-transmitted nematodes(hookworm,Ascaris lumbricoides,Trichuris trichiura,and Enterobius vermicularis)were detected with the Kato-Katz technique in children 3-9 years of age at each sur-veillance site,and the eggs of Enterobius vermicularis were detected again with the cellophane tape anal swab method.The infection rate and intensity for E.vermicularis were calculated.Detection was performed in 12 462 children 3-9 years old at 75 surveillance sites in Shaanxi Province from 2016 to 2023;84 cases of soil-borne nematode infections were detected,and the overall infection rate was 0.67%.The infection rates for Ascaris lumbricoides and E.vermicularis were 0.18%(22/12 462)and 0.50%(62/12 462),respec-tively,and the infection rates for Trichuris trichiura and hookworm were not found.The infection rates of soil-transmitted nematodes in children were 1.28%(16/1 250),0.16%(2/1 252),1.25%(17/1 365),1.20%(18/1 494),0.17%(2/1 169),1.45%(20/1 382),0.00,and 0.36%(9/251),respectively.A linear trend was observed among years(χ2=11.973,P<0.001).The infection rates in the Weifen Basin ecological region,Loess Plateau ecological region,and Qinba Mountains ecological region were 0.51%,1.19%,and 0.72%,respectively,and the differences were statistically significant(χ2=9.726,P=0.008).Significant differences in infection rates were observed among scattered children(1.63%),preschool children(0.66%),and students(0.57%)(χ2=11.189,P=0.004).No significant differences in infection rates were observed by gender,age,and education level.Compared with the infection rates in the entire country and other provinces,the infection rate of soil-transmitted nematodes among children in Shaanxi Province was low,and the main infection species were Ascaris lumbricoides and E.vermicularis.The infection rates greatly varied within Shaanxi Prov-ince,possibly because of differences in economic development levels,children′s living habits,and personal hygiene status across re-gions.In the future,comprehensive control measures should be taken to strengthen the monitoring and control of key areas,popula-tions,and parasite species.

Objective To explore the distribution of common TCM syndromes and symptoms of insomnia;To prepare for the construction of the theoretical framework and item pool of syndrome diagnosis and efficacy evaluation scale.Methods TCM guideline standards of insomnia,textbooks and journals over the years were retrieved,the information of TCM syndromes,syndrome elements and symptoms was extracted,the guideline textbook and journal database were established,and descriptive statistics,association rules,systematic clustering,factor analysis,potential categories and implicit structure analysis were carried out.Results Totally 116 guide standards and textbooks over the years were included,and 454 articles of journals were included.The high-frequency symptoms accounted for≥3%of the guide textbooks and journal databases were 87 and 79 categories,respectively,and the cumulative proportion was 87.48%and 87.75%,respectively.According to the analysis results,five common TCM syndromes and their characteristic symptom classification of insomnia were finally deduced.According to the frequency/person time distribution,they were heart and spleen deficiency syndrome,yin deficiency and fire hyperactivity syndrome,liver fire disturbing heart syndrome,phlegm heat disturbing heart syndrome,heart and gallbladder qi deficiency syndrome.Conclusion There are five common TCM syndromes of insomnia,and the characteristic symptoms of each TCM syndrome provide a reference source for the theoretical framework of syndrome diagnosis and efficacy evaluation scale and the establishment of item pool.

Objective:To explore the association between the gross motor development of children and Chi-nese developmental dyslexia.Methods:A total of 54 children were enrolled,indadit 27 children with Chinese DD and 27 age-gender-matched normal children.The Test of Gross Motor Development-Third Edition(TGMD-3),and the balance tests from the Movement Assessment Battery for Children(M-ABC)were used to evaluate the children's gross motor development level.Children's reading ability was evaluated by primary school students'literacy test question bank,one-minute reading task,and the Reading Test on Pupils.Results:The overall analysis of motortests showed that the grossmotor total score,locomotor score,object control score,and balance score in the DD group were significantly lower than those in the normal control group(P＜0.05).Logistic regression analysis revealed a negative association between balance scores,locomotor scores,object control scores,TGMD-3 total scores and indi-viduals with dyslexia(OR=3.08,1.35,1.16,1.13,Ps＜0.05).Conclusion:The delayed gross motor development of children is associated with the occurrence of Chinese developmental dyslexia.

Objective To predict the invasion degree of subsolid nodule(SSN)lung adenocarcinoma using a combined model incorporating artificial intelligence(AI)quantitative parameters and imaging signs,and to validate the predictive efficacy of this model.Methods A total of 281 SSN lung adenocarcinoma CT images in 243 patients were retrospectively collected and randomly divided into training set(224 cases)and validation set(57 cases)in an 8∶2 ratio,with atypical adenomatous hyperplasia(A AH)+adenocarcinoma in situ(AIS)+minimally invasive adenocarcinoma(MIA)(191 cases)as the non-invasive adenocarcinoma(I AC)group and I AC(90 cases)as the IAC group.Multivariate logistic regression analysis was performed based on the AI quantitative parameters and CT signs in the training set to obtain independent predictors of IAC.A combined model and nomogram were then constructed and validated.The diagnostic efficacy and clinical applicability of the model were evaluated by the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA).Results Multivariate logistic regression analysis of the training set showed nodule type,spicule sign,vascular abnormality,long diameter＞11.5 mm,median CT value＞—426.25 HU,and mass＞391.5 mg were independent predictors of IAC(P＜0.05).The area under the curve(AUC)of the training set model,based on these independent predictive factors,was 0.915[95％confidence interval(CI)0.875-0.954],and the AUC of the validation set model was 0.903(95％CI 0.824-0.982),indicating both the training set and validation set models had high efficacy in distinguishing IAC.The nomogram model,which quantified these independent factors,demonstrated enhanced predictive power for IAC.The calibration curve indicated good fit of the prediction model,and the clinical DCA showed the model had good clinical applicability.Conclusion The model combining AI quantitative parameters and imaging signs has a higher ability to predict the risk of IAC,compared to a single indicator.It helps clinicians in determining the appropriate surgical timing,formulating surgical methods,and reducing overtreatment.

Objective To predict the invasion degree of subsolid nodule(SSN)lung adenocarcinoma using a combined model incorporating artificial intelligence(AI)quantitative parameters and imaging signs,and to validate the predictive efficacy of this model.Methods A total of 281 SSN lung adenocarcinoma CT images in 243 patients were retrospectively collected and randomly divided into training set(224 cases)and validation set(57 cases)in an 8∶2 ratio,with atypical adenomatous hyperplasia(A AH)+adenocarcinoma in situ(AIS)+minimally invasive adenocarcinoma(MIA)(191 cases)as the non-invasive adenocarcinoma(I AC)group and I AC(90 cases)as the IAC group.Multivariate logistic regression analysis was performed based on the AI quantitative parameters and CT signs in the training set to obtain independent predictors of IAC.A combined model and nomogram were then constructed and validated.The diagnostic efficacy and clinical applicability of the model were evaluated by the receiver operating characteristic(ROC)curve,calibration curve,and clinical decision curve analysis(DCA).Results Multivariate logistic regression analysis of the training set showed nodule type,spicule sign,vascular abnormality,long diameter＞11.5 mm,median CT value＞—426.25 HU,and mass＞391.5 mg were independent predictors of IAC(P＜0.05).The area under the curve(AUC)of the training set model,based on these independent predictive factors,was 0.915[95％confidence interval(CI)0.875-0.954],and the AUC of the validation set model was 0.903(95％CI 0.824-0.982),indicating both the training set and validation set models had high efficacy in distinguishing IAC.The nomogram model,which quantified these independent factors,demonstrated enhanced predictive power for IAC.The calibration curve indicated good fit of the prediction model,and the clinical DCA showed the model had good clinical applicability.Conclusion The model combining AI quantitative parameters and imaging signs has a higher ability to predict the risk of IAC,compared to a single indicator.It helps clinicians in determining the appropriate surgical timing,formulating surgical methods,and reducing overtreatment.

Objective:To explore the method for selecting characteristic prices of Chinese patent medicines based on informa-tion entropy theory.It involves analyzing the connotative differences among various price indicators and utilizing information entropy metrics to validate the scientific rigor of characteristic price selection so as to optimize the pricing model for Chinese patent medi-cines and improve the accuracy of price evaluation.Methods:A correlation analysis and information entropy calculation are con-ducted on the median price of the smallest preparation unit,average daily cost,and average course cost of TCM.It compares the information diversity and uncertainty of different pricing indicators.Results:The average daily cost exhibits the highest information diversity and uncertainty among all the pricing indicators examined.Conclusion:It is recommended that the average daily cost be used as the dependent variable for characteristic prices in TCM pricing research.This choice plays an important role in optimizing TCM pricing models and enhancing the accuracy of price evaluation.