ObjectiveTo investigate the imaging features of calcium salt deposition and serological markers in patients with alveolar echinococcosis through a retrospective analysis， as well as independent risk factors for the degree of calcium salt deposition in lesions， and to provide a basis for assessing disease process. MethodsA retrospective analysis was performed for the imaging and clinical data of 107 patients with alveolar echinococcosis who were admitted to The First Affiliated Hospital of Shihezi University from December 2023 to June 2025， and according to the volume of calcium salt deposition， they were divided into non-deposition group with 16 patients， mild deposition group with 52 patients， moderate deposition group with 16 patients， and severe deposition group with 23 patients. A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between groups， and the χ² test or Fisher’s exact test was used for comparison of categorical data between groups. The four groups were further combined into the low deposition group （no/mild deposition） and the high deposition group （moderate/severe deposition）. A binary logistic regression analysis was used to investigate the independent influencing factors for calcium salt deposition， and a predictive model was established. The receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model， and the Bootstrap method was used for internal validation. ResultsThere were significant differences between the four groups in sex distribution， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.05）. The univariate analysis showed that there were significant differences between the four groups in sex， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， alanine aminotransferase， albumin， creatinine， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.1）. The multi-collinearity diagnosis showed that the VIF values for all continuous variables ranged from 1.104 to 1.760， suggesting that collinearity did not affect modeling. An ordinal logistic regression model was established based on sex， involvement of other sites， calcium ion， lymphocyte percentage， and uric acid. The multivariate analysis showed that lymphocyte percentage （odds ratio ［OR］=1.106， 95% confidence interval ［CI］： 1.041 — 1.174， P=0.001） and blood calcium level （OR=0.005， 95%CI： 0.000 —0.230， P=0.007） were independent influencing factors for the degree of calcium salt deposition. The regression equation was established as Logit（P）=8.231 + 0.100 × lymphocyte percentage -5.344 × calcium ion. The ROC curve analysis showed that the model had an area under the ROC curve of 0.716， with a Youden index of 0.353， a sensitivity of 1.000， and a specificity of 0.353. The Hosmer-Lemeshow test showed that the model had poor calibration （χ²=20.688， P=0.008）. The Bootstrap method with 1000 repeated samples showed that the estimated values of lymphocyte percentage （OR=1.106， 95%CI： 1.049 — 1.186， P=0.002） and calcium ion （OR=0.005， 95%CI： 0.000 — 0.214， P=0.010） were consistent with the original model， and the confidence intervals did not include 1， which further supported the reliability of the model. ConclusionBoth lymphocyte percentage and blood calcium level are independent influencing factors for calcium salt deposition in alveolar echinococcosis， and the degree of calcium salt deposition in alveolar echinococcosis lesions increases with the reduction in blood calcium level and the increase in lymphocyte percentage.

OBJECTIVE To construct a preoperative medication reconciliation model assisted by a localized large language model （LLM） for gastric cancer and evaluate its clinical efficacy. METHODS A total of 249 gastric cancer patients with a history of continuous medication before admission in the Gastric Surgery Department of Jiangsu Cancer Hospital were retrospectively enrolled. Patients were divided into training set （154 cases） and validation set （95 cases） based on the order of time. Based on guidelines， drug package inserts， and other evidence， a standardized medication reconcili ation process and a structured knowledge base were constructed. DeepSeek-V3 LLM was deployed privately in the hospital， combined with retrieval-augmented generation technology， to achieve automated integration of medication information， risk screening， and generation of personalized recommendations. The quality of LLM-generated recommendations was evaluated using automatic metrics （BERT Score and ROUGE-1， 2， L） and manual scoring [seven-dimensional index （7DI） ] . Spearman correlation analysis was performed to explore the correlation between automatic scores and manual scores. Cronbach’s α coefficient was used to test the internal consistency of manual scoring results. The time consumed by manual and LLM-assisted medication reconciliation was compared across tasks of different difficulty levels （simple， moderate， and high）. RESULTS A structured knowledge base covering 8 major drug categories was finally established， covering common and high-risk preoperative medication scenarios and providing structured retrieval support for the LLM. For automatic evaluation， the precision， recall， and F1-score of BERT Score were 0.783±0.033， 0.811±0.038， and 0.796±0.028， respectively. The F1-scores of ROUGE-1， ROUGE-2 and ROUGE-L were 0.566±0.067， 0.338±0.076 and 0.468±0.082， respectively. The 7DI scores from three manual raters ranged from 32.06 to 33.45. The F1-score of automatic scoring was significantly positively correlated with the 7DI score of manual scoring （maximum coefficient of determination＝0.611， P ＜0.001）， and the internal consistency of manual scoring was good （Cronbach’s α ＝ 0.876）. In terms of efficiency， LLM-assisted medication reconciliation reduced time consumption by more than 90% compared with manual reconciliation in the simple， moderate， and high-difficulty groups （ P ＜0.001）. CONCLUSIONS The medication reconciliation model constructed based on a localized LLM and structured knowledge base shows high accuracy， consistency， and clinical applicability in complex preoperative medication scenarios for gastric cancer. It can improve the efficiency of medication reconciliation and reduce potential medication risks.

Objective Compare the depression phenotypes of a breast cancer tumor-bearing mouse model constructed using two different method and a mouse model of breast cancer depression with clinical manifestations,as well as assess their suitability for basic research.Methods We constructed a tumor model with 4T1 breast cancer cells alone(4T1 group)and a tumor-depression composite model given chronic unpredictable mild(CUMS)(4T1+CUMS group).The experimental period was 42 d,and the body mass,tumor volume,and survival time of the mice were monitored throughout the whole process.Two depressive behavioral tests(of sucrose preference test,open field test,tail suspension test,and elevated plus maze)were performed on the 15th and 29th days,respectively.Hematoxylin-eosin(HE)staining was used to observe the pathological changes of hippocampal neurons in brain tissue sections.Results(1)Body mass:The body mass of the 4T1 group and 4T1+CUMS group began to decrease from 29 d,and the body mass of the 4T1+CUMS group was significantly lower than that of the 4T1 group and Control group at the end of the experiment(P<0.001).(2)Tumor volume:There was no significant difference in the growth rate of tumors between the two model groups throughout the experiment(P>0.05).(3)Survival time:The survival rates of the 4T1 group and 4T1+CUMS group were 100％and 60％,and the first death of mice in the 4T1+CUMS group was on the 36th day.(4)Behavior test of depression:There was no significant difference between the three groups in the first depressive behavior tests(P>0.05),and the two groups showed obvious depressive phenotypes in the second behavioral tests.The sucrose preference index and activity distance in the central area were significantly decreased in the two model groups(P<0.001),and the immobility time was significantly increased(P<0.001).(5)Pathological section of brain tissue:On pathological examination of brain tissue,we observed a reduced number of neuronal cells in the hippocampus of the 4T1 group and 4T1+CUMS group,their morphology was irregular,the arrangement between the cells was disordered and the gap was unclear,and some nucleoli were blurred.Conclusions Although the tumor-only method and the tumor with compound stress stimulation method can both be used to prepare breast cancer depression models,the tumor-only modeling method is simpler and the mortality rate after successful modeling is higher.The long window of time is convenient for subsequent drug administration and detection,and the causes of the depression phenotype are more in line with the clinical causes and manifestations.Therefore,the 4T1 model can provide a reference model for future animal experiments on breast cancer tumor-related depression.

Objective To conduct a comprehensive review on application status and future development prospects of proton therapy for pediatric medulloblastoma.Methods A total of 218 literatures were retrieved from PubMed and CNKI database using the search terms"pediatric medulloblastoma,proton therapy,radiotherapy"(English)and"儿童髓母细胞瘤,质子治疗,放射治疗"(Chinese),with a publication timeframe from January 1,2004,to June 1,2025.Inclusion criteria were as follow:(1)proton therapy for pediatric medulloblastoma;(2)radiotherapy for pediatric medulloblastoma;(3)proton therapy for pediatric brain tumors;(4)development and applications of proton therapy.Exclusion criteria were as follow:(1)outdated literatures;(2)redundant or highly similar studies.After screening,89 literatures met the inclusion criteria.Results Compared with conventional treatments such as surgery,photon therapy,and chemotherapy,proton therapy for pediatric medulloblastoma significantly reduced acute toxicity and long-term side effects including cognitive dysfunction,endocrine disorders,and hearing loss.Additionally,proton therapy exhibited favorable cost-effectiveness.In the future,the therapeutic outcomes would be further enhanced through the optimization of proton therapy techniques,treatment planning,and equipment.Conclusion With ongoing technological advancements and growing clinical experience,proton therapy is expected to become one of the standard treatment modalities for pediatric medulloblastoma.

Prescription sequence symmetry analysis (PSSA) is one of the important methods for post-marketing pharmacovigilance based on the real-world medical prescription databases. It can be used to detect prescription cascades and mine adverse drug reaction (ADR) signals, which has been verified by many studies. PSSA shows high specificity and medium sensitivity in identifying ADR. It can quantify the correlation or risks of ADR. It is easy to use and simple in algorithm, and it has good robustness to some non time-dependent confounding factors. However, the results may be affected by some human confounding factors and data quality. This paper reviews the principle, calculation method, application scope, and precaution of PSSA by reviewing related literature on PSSA domestically and abroad, in order to provide reference for pharmacovigilance in China.

Objective:To understand the application situation and role of prescription sequence symmetry analysis (PSSA) in pharmacovigilance.Methods:The relevant databases at home and abroad were searched (up to April 30, 2024), and the original articles using PSSA as the research method were collected. The basic information of the literature (first author, publication year, country, etc.), the purpose and main content of the study, the index drugs as well as the marker drugs or medical diagnoses involved in the adverse drug reactions (ADRs) were extracted. Descriptive statistical analysis was carried out.Results:A total of 66 articles were included in the analysis. The first article was published in 1996, the number of articles published in recent years has increased significantly, and those published after 2016 accounted for 68.2% (45/66). The top 3 countries in terms of published literature quantity were the United States, Denmark, and Japan. The index drugs most commonly studied were those for the cardiovascular system and the neuropsychiatric system, in 18 and 14 articles respectively. The drugs studied in 3 or more papers were hypolipidemic drugs, antihypertensive drugs, antipsychotics, antiepileptics, proton pump inhibitors, hypoglycemic drugs and anticoagulants. The targeted ADRs/diseases most studied were those about the neuropsychiatric system (in 13 studies), followed by those about the endocrine and metabolic system (in 12 studies). The research objective in 47 articles was to explore the association between index drugs and ADRs/diseases through PSSA. Finally, the associations between 21 ADRs and index drugs were identified in 24 articles, of which 9 were new ADRs not recorded in drug instructions; benefits or potential preventive and therapeutic effects of index drugs on certain diseases were found in 7 studies. Ten studies were conducted to explore ADR information of specific drugs or detect suspicious drugs that cause specific ADRs, and some correlation signals between drugs and ADRs that previously unknown were detected. Nine studies evaluated the prescribing cascades, including the use of antitussive drugs after ACEI, the prescribing cascades related to drug-induced lower urinary tract symptoms and edema, the prescription cascades of statins, and the prescribing cascade relic.Conclusion:PSSA is a useful method for identifying potential prescribing cascades and mining ADR signals using medical prescription databases, especially suitable for the safety monitoring of long-term medication for chronic diseases and the signal detection of ADR that causal relationships are difficult to determine.

Objective:To investigate the mediating effect of dyadic coping on the relationship between self-disclosure and fertility anxiety in women of childbearing age with thyroid cancer.Methods:A total of 258 women of childbearing age diagnosed with thyroid cancer who received treatment at the Department of Thyroid Surgery, First Hospital of Shanxi Medical University between January and October 2024 were selected using convenience sampling. Participants completed a general information questionnaire, the Chinese version of the Reproductive Concerns After Cancer scale (RCAC), the Dyadic Coping Inventory (DCI), and the Distress Disclosure Index (DDI). Structural equation modeling was constructed using SPSS PROCESS v4.1 to examine the mediating role of dyadic coping between self-disclosure and fertility anxiety. Pearson correlation analysis was used to assess the relationships among self-disclosure, dyadic coping, and fertility anxiety.Results:A total of 258 questionnaires were distributed, and 245 valid responses were collected, with an effective response rate of 94.96% (245/258). Among the 245 participants, the mean score of DDI was (37.38±8.42), RCAC was (53.54±12.53), and DCI was (117.10±29.07). Self-disclosure was positively correlated with dyadic coping ( P<0.01), while both self-disclosure and dyadic coping were negatively correlated with fertility anxiety ( P<0.01). Dyadic coping played a partial mediating role between self-disclosure and fertility anxiety, accounting for 43.38% of the total effect. Conclusions:Fertility anxiety in women of childbearing age with thyroid cancer deserves close clinical attention. Interventions should focus on enhancing patients' self-disclosure and dyadic coping abilities to effectively reduce fertility-related anxiety.

ObjectiveTo understand the whole genome characteristics and the information for genetic evolution in the two coxsackievirus A2 (CVA2) strains isolated from patients with herpangina in Shanghai, and to provide a scientific basis for the prevention and treatment of herpetic angina. MethodsTwo CAV2 strains isolated from patients with herpetic angina in Shanghai were performed whole genome sequencing and analysis for phylogenetics, nucleotide homology, and evolution. ResultsA phylogenetic analysis of the VP1 region revealed that the two Shanghai strains both belonged to CVA2 genotype D, with the highest homology to OL357660, a strain from Yunnan. The average nucleotide identity (ANI) of the whole genome between the two Shanghai strains was 98.88%, and the ANI of the whole genome comparisons to other CVA2 genotype D strains and CVA2 genotypes A-C strains ranged from 84.64% to 97.42% and from 79.21% to 84.20%, respectively. The two Shanghai strains had low homology in the 3D region compared to the existing CVA2 strains. The phylogenetic analysis and sliding window nucleotide similarity analysis indicated that the two Shanghai strains and the Yunnan OL357660 strain might constitute a new genetic lineage. ConclusionThe two CVA2 strains isolated for the first time in Shanghai are assigned to genotype D (GenBank: PQ130039 and PQ130040), which is identical to the existing subtype prevalent in China. As represented by the Shanghai strains, a new CVA2 genetic lineage is been identified. This study has enriched the data on genetic evolution and genetic variation of CVA2 in Shanghai, indicating the requirement to strengthen surveillance for the epidemiological pattern of CVA2.

Objective:To investigate the mediating effect of dyadic coping on the relationship between self-disclosure and fertility anxiety in women of childbearing age with thyroid cancer.Methods:A total of 258 women of childbearing age diagnosed with thyroid cancer who received treatment at the Department of Thyroid Surgery, First Hospital of Shanxi Medical University between January and October 2024 were selected using convenience sampling. Participants completed a general information questionnaire, the Chinese version of the Reproductive Concerns After Cancer scale (RCAC), the Dyadic Coping Inventory (DCI), and the Distress Disclosure Index (DDI). Structural equation modeling was constructed using SPSS PROCESS v4.1 to examine the mediating role of dyadic coping between self-disclosure and fertility anxiety. Pearson correlation analysis was used to assess the relationships among self-disclosure, dyadic coping, and fertility anxiety.Results:A total of 258 questionnaires were distributed, and 245 valid responses were collected, with an effective response rate of 94.96% (245/258). Among the 245 participants, the mean score of DDI was (37.38±8.42), RCAC was (53.54±12.53), and DCI was (117.10±29.07). Self-disclosure was positively correlated with dyadic coping ( P<0.01), while both self-disclosure and dyadic coping were negatively correlated with fertility anxiety ( P<0.01). Dyadic coping played a partial mediating role between self-disclosure and fertility anxiety, accounting for 43.38% of the total effect. Conclusions:Fertility anxiety in women of childbearing age with thyroid cancer deserves close clinical attention. Interventions should focus on enhancing patients' self-disclosure and dyadic coping abilities to effectively reduce fertility-related anxiety.

Objective To conduct a comprehensive review on application status and future development prospects of proton therapy for pediatric medulloblastoma.Methods A total of 218 literatures were retrieved from PubMed and CNKI database using the search terms"pediatric medulloblastoma,proton therapy,radiotherapy"(English)and"儿童髓母细胞瘤,质子治疗,放射治疗"(Chinese),with a publication timeframe from January 1,2004,to June 1,2025.Inclusion criteria were as follow:(1)proton therapy for pediatric medulloblastoma;(2)radiotherapy for pediatric medulloblastoma;(3)proton therapy for pediatric brain tumors;(4)development and applications of proton therapy.Exclusion criteria were as follow:(1)outdated literatures;(2)redundant or highly similar studies.After screening,89 literatures met the inclusion criteria.Results Compared with conventional treatments such as surgery,photon therapy,and chemotherapy,proton therapy for pediatric medulloblastoma significantly reduced acute toxicity and long-term side effects including cognitive dysfunction,endocrine disorders,and hearing loss.Additionally,proton therapy exhibited favorable cost-effectiveness.In the future,the therapeutic outcomes would be further enhanced through the optimization of proton therapy techniques,treatment planning,and equipment.Conclusion With ongoing technological advancements and growing clinical experience,proton therapy is expected to become one of the standard treatment modalities for pediatric medulloblastoma.