Objective: To investigate the current status and trends of depressive symptoms among middle school and college students in Hunan Province, and to explore the primary related factors of depressive symptoms, so as to provide a scientific basis for strengthening mental health among students. Methods: A total of 279 382 students in Hunan Province were selected through a stratified cluster random sampling method from 2021 to 2023. National Survey Questionnaire on Common Diseases and Health Influencing Factors among Students was adopted for the survey, and the Center for Epidemiological Studies Depression Scale was used to assess their depressive symptoms. The χ 2 test and trend χ 2 test were used to analyze depressive symptoms prevalence and trends, and multivariable Logistic regression was used to analyze the related factors of depressive symptoms. Results: The prevalence of depressive symptoms among students in Hunan Province from 2021 to 2023 were 19.66%, 20.17% and 21.47%, respectively, showing an upward trend ( χ 2 trend =9.07, P <0.01). In addition, the results of the multivariable Logistic regression analysis showed that students with healthy diet ( OR=0.43, 95%CI =0.40-0.45), adequate sleep ( OR=0.88, 95%CI =0.86-0.90), and acceptable screen time ( OR=0.61, 95%CI =0.60-0.62) had lower risks in depressive symptoms detection, while students with smoking ( OR= 1.95, 95%CI =1.88-2.02), secondhand smoke exposure ( OR=1.33, 95%CI =1.30-1.36) and Internet addiction ( OR= 4.19 , 95%CI =4.05-4.34) had higher risks in depressive symptoms detection, with differences in the degree of association among different genders, educational stages and urban rural groups ( OR=0.40-6.04, Z =-12.69-11.98) ( P <0.05). Conclusions There is an increasing trend of depressive symptoms among middle school and college students in Hunan Province from 2021 to 2023.Targeted depression prevention measures should be taken for students with different demographic characteristics to promote their mental health.

The 2024 World Conference on Lung Cancer (WCLC) and the European Society for Medical Oncology (ESMO) Annual Meeting, two of the most prestigious events in oncology, have concluded sequentially. As the most authoritative annual gatherings in lung cancer and the entire oncology field, the WCLC and ESMO conferences brought together top oncology experts and scientists from around the world to share, discuss, and publish the latest cutting-edge advancements in oncology. In both conferences, lung cancer immunotherapy remained a hot topic of considerable interest. This article aims to summarize and discuss the important research progress on perioperative immunotherapy for non-small cell lung cancer reported at the two conferences.

Pinellia ternata， belonging to the Pinellia genus within the Araceae family， is a medicinal plant due to its tubers. There are severe issues with unclear germplasm and mixed varieties in its cultivation， necessitating urgent new variety protection efforts. The distinctness， uniformity， and stability （DUS） testing of the plant variety is the basis for protecting new plant varieties， and the DUS test guidelines are the technical basis for DUS testing. To develop the DUS test guidelines for P. ternata， agronomic traits of 229 germplasm of P. ternata were observed and measured during its two growth stages over the years， and each character was graded and described. A total of 38 traits were selected as the test traits of the DUS test guideline for P. ternata. There were three plant traits， 19 leaf traits， six flower traits， two fruit traits， two tuber traits， five bulbil traits， and one ploidy trait. These traits could be divided into 22 quality characters， 12 quantitative characters， and four pseudo-quantitative characters， as well as seven groups， including plants， leaves， flowers， fruit， tubers， bulbils， and ploidy. By searching for standard traits， 10 standard varieties were ultimately determined. Preparing these guidelines will have great significance for reviewing and protecting P. ternata varieties， safeguarding breeders' rights， and promoting the development of the P. ternata industry.

The 2025 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held from January 23 to 25, 2025. Several significant studies on the treatment of esophageal and gastroesophageal junction (GEJ) cancer were presented at the symposium, highlighting notable advances, particularly in the perioperative and advanced settings. Immunotherapy has demonstrated significant promise in the neoadjuvant treatment of esophageal cancer, showing potential to become a standard treatment. Furthermore, the long-term survival benefits of combining immunotherapy with chemotherapy for advanced GEJ cancer were further validated. This article summarizes and interprets the researches presented at the symposium concerning perioperative and advanced treatments for esophageal and GEJ cancers.

The 2025 European Lung Cancer Congress (ELCC) convened in Paris, France, centering on the optimization and innovation of immunotherapy for non-small cell lung cancer (NSCLC). Key topics at the congress included the application strategies for perioperative immunotherapy, breakthroughs in combination therapy models for advanced NSCLC, and the emerging roles of biomarkers in predicting diverse treatment outcomes. This paper integrates data from several key pivotal studies to systematically analyze the clinical value of neoadjuvant therapy within the perioperative setting, the potential of targeted combination regimens, and the challenges of managing drug resistance, thus offering new directions for clinical practice.

OBJECTIVES: To investigate the effect of needle knife release on median nerve (MN) and transverse carpal ligament (TCL) morphology and function and expression levels of inflammatory factors in rabbit models of carpal tunnel syndrome (CTS). Methods Thirty adult New Zealand rabbits were randomized equally into control group, CTS model group, ultrasound-guided needle knife release group, needle knife release group without ultrasound guidance, and sham treatment groups. In all but the control group, the rabbits were subjected to CTS modeling by 10% glucose solution injection into the carpal tunnel once a week for 4 consecutive weeks, followed by interventions with a single treatment session. At 3 days and 30 days after the interventions, 3 rabbits from each group were selected for ultrasound measurement of TCL and MN thickness, electrophysiological testing, ultrasound elastography, and inflammatory cytokine level assessment. RESULTS: In the rabbit models of CTS, ultrasound-guided needle knife release significantly reduced the thickness of TCL and MN and improved sensory nerve conduction velocity at both 3 and 30 days after the intervention. Elastography of the TCL showed markedly softened intra-carpal tissues after ultrasound-guided needle knife release and achieved superior outcomes over those in the other groups. The treatment also significantly reduced IL-17 levels and lowered IL-6 and PGE2 expression at 30 days after the intervention. CONCLUSIONS Needle knife release of the TCL reduces thickness of the MN and TCL, enhances median nerve function, alleviates intrascatic tissue stiffness, and downregulates inflammatory factors in the carpal tunnel in rabbit models of CTS, and ultrasound guidance further enhances its therapeutic efficacy.
Animals ; Rabbits ; Carpal Tunnel Syndrome/surgery* ; Median Nerve/physiopathology* ; Disease Models, Animal

Objective Heart failure(HF)complicated by acute kidney injury(AKI)significantly impacts patient outcomes,and it is crucial to make early predictions of short-term mortality.This study is focused on developing an interpretable machine learning model to enhance early prediction accuracy in such clinical scenarios.Methods This retrospective cohort study utilized data from the Medical Information Mart for Intensive Care Ⅳ(MIMIC-Ⅳ,version 2.0)database.Data from the first 24 hours after admission to the ICU were extracted and divided into a training set(70％)and a validation set(30％).We utilized the SHapley Additive exPlanation(SHAP)method to interpret the workings of an extreme gradient boosting(XGBoost)model and identify key prognostic factors.The XGBoost model's predictive ability was evaluated against three other machine learning models using the area under the curve(AUC)metric,and its interpretation was enhanced using the SHAP method.Results The study included 8 028 patients with HF complicated by AKI.The XGBoost model outperformed the other models,achieving an AUC of 0.93(95％confidence interval[CI]:0.78-0.94;accuracy=0.89),while neural network model showed the worst performance(AUC=0.79,95％CI:0.77-0.82;accuracy=0.82).Decision curve analysis showed the superior net benefit of the XGBoost model within the 9％to 60％threshold probabilities.SHAP analysis was performed to identify the top 20 predictors,with age(mean SHAP value 1.29)and Glasgow Coma Scale score(mean SHAP value 1.24)emerging as significant factors.Conclusions Our interpretable model offers an enhanced ability to predict mortality risk in HF patients with AKI in ICUs.This model can be used to assist in formulating effective treatment plans and optimizing resource allocation.

The 2024 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held in San Francisco, the USA from January 18th to 20th, 2024 (local time). The multiple studies presented in this symposium will have a significant impact on the clinical practice of esophageal cancer. This article will focus on the surgical methods of esophageal cancer, perioperative immunotherapy, drug therapy for advanced esophageal cancer, rescue treatment after immunotherapy resistance, and other relevant aspects. It aims to summarize and interpret the significant advancements in the field of esophageal cancer presented in this symposium.

Screening and evaluating the diseases responding specifically to traditional Chinese medicine （TCM） will help to highlight the advantages of TCM treatment， and the evaluation method should be standardized with consideration to the unique characteristics of the diseases. The incidence of Sjögren's Syndrome （SS） is increasing year by year， while the pathogenesis of this disease remains unclear. Modern therapies for this disease include biological agents and immunosuppressants， which generally have unsatisfactory efficacy. The TCM treatment of SS focuses on the harmony of the physical and mental health. The Rheumatology Branch of the China Association of Chinese Medicine organizes experts in TCM， Western medicine， and evidence-based medicine to form working groups. Delphi method and bibliometric method were used for analysis， and SS was selected as a disease responding specifically to TCM. Furthermore， the evaluation system was established for this disease， and the consensus regarding this disease was reached after seminar discussion. This paper summarized the whole process of the evaluation of the advantages of TCM treatment of SS. First， because TCM atomization is widely used in clinical practice and enriches TCM administration methods， this therapy is included after other non-drug therapies were taken as characteristic therapies. Second， the evaluation indicators of therapeutic effect should be determined with consideration to international acceptance and the current research status. Third， the expression method should be accurate， standardized， and objective， highlight the natural advantages of TCM， and avoid arbitrary extension. This paper provides a reference for clinicians to explore other diseases responding specifically to TCM.

Reducing low-value care is a key measure to optimize service model for cancer patients and improve the quality of and value of care.We summarizes the conceptual connotation of low-value medical services for cancer patients,compares the relevant measurement indicators at home and abroad,explains the logic of low-value medical services use for cancer patients at the three levels of"individual-institution-system",and proposes strategies for reducing low-value medical services for cancer patients in five aspects:construction of service value framework,dissemination of evaluation results,connection of drug access mechanisms,moni-toring of cancer care services,and empowering shared decision-making.