[Objective] To explore the diagnosis and treatment experience of tension hydrocele. [Methods] The clinical data of 2 patients with tension hydrocele treated in our hospital were retrospectively analyzed.Relevant literature was retrieved to analyze the clinical characteristics of this disease. [Results] Case 1 was diagnosed due to swelling and pain of the left scrotum after trauma for more than one month, which worsened for one day.Physical examination showed high tension in the left scrotum and positive light transmission test.Ultrasound examination revealed that the blood flow signal in the left testis disappeared.Emergency left scrotal exploration and hydrocelectomy were performed.There was no sign of testis torsion during the operation.Case 2 was diagnosed mainly due to hydrocele of the right testis for 1 year, which worsened for 1 week and complicated with testis distension and pain.Physical examination showed high tension in the right scrotum and positive light transmission test.Ultrasound examination revealed that the blood flow signal in the right testis decreased.After 40ml of fluid was extracted under ultrasound monitoring, the blood flow signal in the right testis recovered.Hydrocelectomy was performed the next day.During the follow-up of 8 months, there was no recurrence of hydrocele.A search of domestic and foreign literature showed that there were no reports in domestic literature, while a total of 11 cases were reported in foreign literature. [Conclusion] Tension hydrocele of the testis is a rare emergency of the scrotum.Surgery or decompression should be performed as soon as possible to restore testicular blood supply, and hydrocelectomy should be performed simultaneously or in stages to prevent recurrence.

OBJECTIVE To investigate and analyze the current management of drug clinical trial institutions in Jiangxi Province and the situation of undertaking drug clinical trials after the implementation of the filing system. METHODS A survey was conducted on 38 new institutions （obtained qualifications during the implementation of the filing system） and old institutions （obtained qualifications during the implementation of the recognition system） that had completed drug clinical trial institution qualification filing for more than one year in Jiangxi Province. The survey focused on the basic information of the institutions， the number of registered principal investigator （PI）， institutional hardware and information construction， personnel allocation and training， and drug registration clinical trials undertaken by the institutions. RESULTS Of 38 institutions surveyed， there were 22 general hospitals and 16 specialized hospitals； there were 24 old institutions and 14 new institutions. Whether in general hospitals or specialized hospitals， the old institutions were better than the new institutions in the number of approved beds， the number of outpatients， the number of inpatients， the number of specialties， and the number of PI； both old and new institutions had separate offices； all new institutions were set up with GCP pharmacy. The adoption of clinical trial management system in new institutions is significantly less than in old institutions. In the general hospital， both the number of full-time managers and the number of quality controllers in old institutions were significantly more than in the new institutions， while the opposite was true at the level of specialized hospitals. In terms of centralized training on GCP， new institutions were all better than the old ones. Whether in general hospitals or specialized hospitals， the number of drug registration clinical trial projects undertaken by new institutions was significantly less than that of old ones. CONCLUSIONS The new institutions are worse than the old institutions in comprehensive strength and information construction of hospitals， and the number of clinical trials undertaken by new institutions is also less than old institutions.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Due to patient compliance and convenience, oral medication is likely the most common and acceptable method of drug administration. However, traditional dosage forms such as tablets or capsules may lead to low drug bioavailability and poor therapeutic efficiency. Therefore, with advancements in material science and micro/nano manufacturing technology, various carriers have been developed to enhance drug absorption in the gastrointestinal tract. In this context, we initially discuss the key biological factors that hinder drug transport and absorption (including anatomical, physical, and biological factors). Building on this foundation, recent progress in both conventional and innovative oral drug delivery routes aimed at improving drug bioavailability and targeting is reviewed. Finally, we explore future prospects for oral drug delivery systems as well as potential challenges in clinical translation.

Objective To investigate the relationship between tooth loss and the occurrence of esophageal cancer in a natural village in Wenfeng District, Anyang City, Henan Province. Methods A prospective cohort study was conducted to observe the occurrence of tooth loss and esophageal cancer among the asymptomatic residents of the natural village for 16 years from January 2008 to July 2024. Data were analyzed by chi-square test, binary logistic regression, and restricted cubic spline. Results Among the total population of 711 cases, 136 cases were lost to follow-up and 575 cases were included in the final statistics, including 45 cases with esophageal cancer. Significant statistical difference was found between esophageal cancer patients with and without tooth loss (P<0.05). Logistic regression analysis showed that tooth loss was associated with the occurrence of esophageal cancer (OR=3.977, 95%CI: 1.543-10.255). After the adjustment for confounders, tooth loss remained significantly associated with the occurrence of esophageal cancer (OR=3.038, 95%CI: 1.035-8.914). A nonlinear dose-response relationship was observed between the number of teeth lost and the incidence of esophageal cancer. When the number of teeth lost was less than 12, the risk of esophageal cancer increased with the number of teeth lost. When more than 12 teeth were lost, the risk of esophageal cancer decreased as the number of teeth lost increased. Conclusion Tooth loss is a risk factor for the occurrence of esophageal cancer in this natural village. When the number of teeth lost is less than 12, the risk of esophageal cancer increases with the number of teeth lost.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Objective To investigate the expression of WD repeat-containing protein 5(WDR5)in cervical cancer tissue and its relationship with clinical pathological characteristics and prognosis of patients.Methods 105 CA patients admitted to our hospital from January 2018 to March 2020 were included as the study subjects,the cancer tissue and adjacent tissue samples of patients were collected,Immunohistochemical staining and Western blot were used to detect the level of WDR5 in CA tissue and adjacent cancer tissues.Immunohistochemistry and Western blot were used to determine the level;Survival analysis was conducted using the Kaplan Meier method;The influencing factors of patient prognosis were analyzed through Cox regression.Results Among 105 CA tissue samples,the positive expression rate of WDR5(WDR5 positive cases/total cancer tissue cases)was 68.57% (72/105),which was higher than 22.86% (24/105)in adjacent cancer tissues(P<0.05);Compared to adjacent tissues(1.00±0.11),the expression level of WDR5 was higher in CA tissues(4.66±0.98)(t = 38.030,P<0.05).The expression level of WDR5 is related to the degree of differentiation,TNM staging,and lymph node metastasis(P<0.05);The survival rate of WDR5 positive expression was 65.28% (47/72)lower than that of negative expression of 90.91% (30/33)(Log rank χ2 = 6.732,P = 0.009);TNM staging,WDR5,degree of dif-ferentiation,and lymph node metastasis are all influencing factors for patient prognosis(P<0.05).Conclusion The expression of WDR5 is elevated in cervical cancer tissues,and its changes are closely related to TNM staging,differentiation,lymph node metastasis,and prognosis in cervical cancer patients.

Background Heavy metal exposure may be associated with the risk of metabolic syndrome (MetS) and serum uric acid. The role of serum uric acid in the relationship between heavy metal exposure and MetS is currently unclear. Objective To evaluate the relationships of heavy metal exposure with MetS and serum uric acid, and to quantify the role of serum uric acid in the relationship. Methods In 2021, convenience sampling was used to select 571 local adults in Liuzhou, Guangxi. Demographic characteristics, lifestyle habits, and physiological and biochemical indicators were collected through questionnaire surveys and physical examinations. Fasting blood and mid-stream morning urine were also collected. The concentrations of 16 heavy metals in urine were measured using inductively coupled plasma mass spectrometry. Least absolute shrinkage and selection operator (LASSO) regression was employed to identify heavy metals associated with MetS. Logistic regression and linear regression models were employed to evaluate the association between the selected heavy metals and MetS as well as serum uric acid. Bayesian kernel machine regression (BKMR) model was utilized to assess the impact of combined exposures to multiple metals on the risk of MetS and identify the main effect metals. Generalized structural equation model was used to evaluate potential mediating effect of serum uric acid on the relationship between heavy metal exposure and MetS. Results The LASSO regression identified a total of 9 heavy metals that were associated with MetS. The logistic regression revealed a positive correlation between zinc and copper in urine and MetS (P _trend<0.05), while vanadium showed a negative correlation with MetS (P _trend<0.05). Compared to the low concentration groups, the high concentration groups of zinc (OR=2.37, 95%CI: 1.33, 4.20) and copper (OR=2.29, 95%CI: 1.26, 4.18) had an increased risk of MetS, while the high concentration group of vanadium showed a decreased risk of MetS (OR=0.47, 95%CI: 0.27, 0.84). The main effect metals identified by the BKMR model were consistent with the results of logistic regression. The linear regression analysis demonstrated an association between urinary zinc and vanadium concentrations and serum uric acid levels (P _trend<0.05). Compared to the low concentration group, the high concentration group of zinc showed an increase in serum uric acid level (β=0.07, 95%CI: 0.03, 0.11), while the high concentration group of vanadium showed a decrease in serum uric acid level (β=-0.06, 95%CI: -0.09, -0.02). The mediation analysis revealed that serum uric acid played a mediating role in the relationship between urinary zinc and vanadium concentrations and MetS, with mediation proportions of 8.33% and 16.67%, respectively. Conclusion Exposure to heavy metals zinc, copper, and vanadium are closely associated with MetS. Zinc and vanadium exposures are correlated with serum uric acid levels, and serum uric acid plays a partial mediating role in the relationship between zinc and vanadium exposures and MetS.

Objective:To explore the clinical characteristics and related socio-demographic factors of schizo-phrenia patients with different ages of onset.Methods:Totally 2 016 patients with schizophrenia aged 15 to 70 were selected according to the diagnostic criteria for schizophrenia in the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition.All of the patients were interviewed by psychiatrists using the Mini International Neuropsy-chiatric Interview to diagnose schizophrenia,Clinical-Rated Dimensions of Psychosis Symptom Severity(CRDPSS)and the Positive and Negative Syndrome Scale(PANSS)to assess symptoms.The cut-off points were 18 and 25 years old for three age groups,i.e.early onset(EOS),youth onset(YOS)and adult onset(AOS).Statistical analy-ses were performed by analysis of variance Pearson correlation analysis,and multivariate linear regression.Results:The early-onset patients had the highest total PANSS score(73.8±28.0)and CRDPSS score(11.7±5.4).Fe-male gender,high education level,Han ethnicity,early onset age,and slower onset of illness were negatively corre-lated with the total and dimension score of PANSS scale and CRDPSS scale(standardized regression coefficient:0.04-0.47),and income level and smoking were negatively correlated with those score(standardized regression coefficient:-0.04--0.14).Conclusion:Early-onset schizophrenia patients have more severe symptoms,and fe-male,high education level,early-onset disease,and chronic onset are the risk factors of symptom severity in patients with schizophrenia.

OBJECTIVE To analyze the occurrence of adverse drug reactions （ADR） between bevacizumab biosimilars and original drugs， and to provide data support for rational use of drugs in clinical. METHODS ADR reports of bevacizumab biosimilars and original drugs reported by Jiangsu Cancer Hospital from January to December 2022 were retrospectively analyzed. RESULTS A total of 6 818 patients were treated with bevacizumab， and 136 ADR patients were reported. The incidence of ADR caused by bevacizumab biosimilars was higher than original drugs （2.18% vs. 0.71%， P＝0.004）. In ADR reports， the main treatment plan was bevacizumab combined with other tumor drugs （129 patients）； 118 patients were cured and improved； there were 108 general reports and 28 serious reports； the main system/organ involved in ADR was the cardiovascular system； there were no statistical significance in the incidence rates of hypertension/blood pressure increase， leukocyte/platelet decrease， diarrhea and fever caused by bevacizumab biosimilars and original drugs. CONCLUSIONS The incidence of ADR related to bevacizumab biosimilars is significantly higher than that of the original drugs， but there is no significant difference in the clinical manifestation of ADR. Clinicians can use bevacizumab biosimilars or original drugs based on the willingness of patients and their families.