OBJECTIVE To evaluate the cost-effectiveness of amivantamab combined with lazertinib （hereinafter referred to as “AL”） regimen as first-line treatment for EGFR -mutated advanced non-small cell lung cancer （NSCLC） from the perspective of China’s healthcare system. METHODS A partitioned survival model was established based on updated data from the MARIPOSA study， with a 10-year time horizon and 28-day cycles. The primary outcome index was quality adjusted life year （QALY）， and the willingness-to-pay （WTP） threshold was set at three times China’s per capita GDP in 2024 （287 247 yuan/QALY）. Cost-utility analysis was used to calculate the incremental cost-effectiveness ratio （ICER） of AL regimen versus osimertinib monotherapy regimen as first-line treatment for EGFR -mutated advanced NSCLC. One-way and probabilistic sensitivity analyses were performed to test model robustness. Scena rio analyses were conducted to explore the impact of utility values for different health states on the outcomes and determine the required price reductions of amivantamab and lazertinib to achieve cost-effectiveness. RESULTS Compared with the osimertinib monotherapy regimen， the ICER for the AL regimen as first-line treatment for advanced EGFR -mutated NSCLC was 2 062 096.15 yuan/QALY， significantly exceeding the WTP threshold established in this study. One-way sensitivity analysis revealed that the utility value of progression-free survival state and the price of amivantamab were the primary factors influencing the ICER. Probabilistic sensitivity analysis revealed that the AL regimen only became cost-effective when the WTP threshold was set at 2 050 000 yuan/QALY. Scenario analysis indicated that altering the utility value still rendered the AL regimen non-cost-effective. When amivantamab （350 mg） prices decreased by 80%， 85%， and 90% respectively， lazertinib （80 mg） prices would need to decrease by 95.97%， 40.63%， 5.29%， respectively. This would enable the AL regimen’s ICER to consistently fall within the WTP threshold established in this study. CONCLUSIONS At the WTP threshold established in this study， the AL regimen does not demonstrate cost-effectiveness for first-line treatment of advanced EGFR -mutated NSCLC compared to the osimertinib monotherapy regimen. Significant price reductions for both drugs would be required to alleviate the financial burden on patients.

OBJECTIVE To evaluate the cost-effectiveness of culmerciclib combined with fulvestrant as second-line treatment for patients with hormone receptor-positive（HR+）/human epidermal growth factor receptor 2-negative （HER2–） locally advanced or metastatic breast cancer， within the context of the Chinese healthcare system. METHODS A partitioned survival model was established based on the CULMATE-1 study， with a simulation time horizon set at 15 years and a cycle length of 28 days. The incremental cost-effectiveness ratio （ICER） of culmerciclib combined with fulvestrant versus fulvestrant monotherapy as second-line treatment for HR+/HER2– breast cancer was calculated. One-way sensitivity analysis and probabilistic sensitivity analysis were performed to assess the robustness of the model. Meanwhile， scenario analysis of culmerciclib price reduction was conducted； the required price reduction and price to reach the willingness-to-pay （WTP） threshold in this study were calculated. RESULTS The results of the base-case analysis indicated that， compared with the fulvestrant monotherapy regimen， culmerciclib combined with fulvestrant yielded an additional 0.823 quality-adjusted life year （QALY）， with a corresponding ICER of 371 696.26 yuan/QALY， which exceeded the WTP threshold （199 330 yuan/QALY）. The results of the univariate sensitivity analysis indicated that the cost of culmerciclib， the discount rate， the utility values for progression disease and progression free survival status were significant factors influencing the ICER； both the univariate sensitivity analysis and the probabilistic sensitivity analysis validated the robustness of the model results. Scenario analysis indicated that when the price of culmerciclib was reduced by 30%， 55% and 85% respectively， the corresponding ICER values fell below 3， 2， and 1 times China’s per capita GDP in 2025， with the probability of cost-effectiveness being 3.00%， 94.90%， 100%. When the cost of culmerciclib （60 mg） was reduced by 52.6% to 50.96 yuan， the ICER value met the WTP threshold established in this study. CONCLUSIONS When the WTP threshold is set at twice China’s per capita GDP in 2025， second-line treatment with culmerciclib combined with fulvestrant for HR+/HER2– locally advanced or metastatic breast cancer does not exhibit cost-effectiveness advantage over fulvestrant monotherapy. Therefore， a reasonable price reduction is required to alleviate the financial burden on patients.

Objective: The precise mechanisms driving intervertebral disc degeneration (IVDD) development remain unclear, but evidence suggests a significant involvement of gut microbiota (GM) and blood metabolites. We aimed to investigate the causal relationships between GM, IVDD, and blood metabolites using Mendelian randomization (MR) analysis. Methods: We utilized the summary statistics of GM from the MiBioGen consortium, 1400 blood metabolites from the genome-wide association studies (GWAS) Catalog, and IVDD data from the FinnGen repository, which are sourced from the largest GWAS conducted to date. Employing bidirectional MR analyses, we investigated the causal relationships between GM and IVDD. Additionally, we conducted 2 mediation analyses, 2-step MR and multivariable MR (MVMR), to identify potential mediating metabolites. Results: Five bacterial genera were causally associated with IVDD, while IVDD did not show a significant causal effect on GM. In the 2-step MR analysis, Eubacteriumfissicatenagroup, RuminococcaceaeUCG003, Lachnoclostridium, and Marvinbryantia genera, along with metabolites X-24949, Pimeloylcarnitine/3-methyladipoylcarnitine (C7-DC), X-24456, histidine, 2-methylserine, Phosphocholine, and N-delta-acetylornithine, were all significantly associated with IVDD (all p < 0.05). MVMR analysis revealed that the associations between Eubacteriumfissicatenagroup genus and IVDD were mediated by X-24949 (8.1%, p = 0.024); Lachnoclostridium genus and IVDD were mediated by histidine (18.1%, p = 0.013); and RuminococcaceaeUCG003 genus and IVDD were mediated by C7-DC (-7.5%, p = 0.041). Conclusion The present MR study offers evidence supporting the causal relationships between several specific GM taxa and IVDD, as well as identifying potential mediating metabolites.

The Expert Consensus on the Deployment of DeepSeek in Medical Institutions serves as a detailed guideline for the deployment of DeepSeek in medical institutions. It was developed by experts in the fields of healthcare， hospital management， medical information， health policy， law， and medical ethics from nearly 30 leading domestic medical and academic research institutions， based on relevant domestic and international laws and regulations as well as the practices of medical institutions. It aims to provide medical institutions with a scientific， standardized， and secure deployment guideline to ensure that the application of artificial intelligence （AI） technologies in healthcare， including but not limited to DeepSeek， conforms to the unique characteristics of the healthcare industry and effectively promotes the improvement of medical service levels. From the three aspects of pre-deployment evaluation， deployment implementation， and post-deployment management and monitoring， the key factors that medical institutions should consider when introducing DeepSeek were elaborated in detail， including medical demand compatibility， technical capabilities and infrastructure， legal and ethical risks， data preparation and management， model selection and optimization， system integration and training， performance monitoring and continuous optimization， risk management and emergency response， as well as compliance review and evaluation. This provides a comprehensive deployment framework for medical institutions to ensure the safety and effectiveness of technology applications.

ObjectiveTo explore the therapeutic effect and mechanism of Xianglian Huazhuo prescription on chronic atrophic gastritis （CAG） in rats based on the Hedgehog signaling pathway. MethodsThe CAG rat model was established by sodium salicylate， N-methyl-N′-nitro-N-nitroguanidine （MNNG）， and irregular feeding. The successfully modeled rats were randomly divided into a model group （180 mg·L^-1）， a moradan group （1.4 g·kg^-1）， and Xianglian Huazhuo Prescription groups with high， medium， and low doses （36， 9， 18 g·kg^-1）， followed by drug intervention. Hematoxylin-eosin （HE） staining was used to observe morphological changes in the gastric mucosa. Transmission electron microscopy was used to observe the ultrastructure of gastric mucosa cells. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of Sonic Hedgehog （Shh）， Patched 1 （Ptch1）， and Glioma-associated oncogene homolog 1 （Gli1）. Western blot was used to detect the protein expression levels of Shh， Ptch1， and Gli1 in the gastric mucosa. Immunohistochemistry was used to observe the protein expression of the epithelial marker E-cadherin. ResultsCompared with the normal group， the CAG model group showed a reduction in gastric mucosal intrinsic glands and infiltration of inflammatory cells. The ultrastructure of gastric mucosal cells showed nuclear pyknosis， fewer mitochondria， and abnormal mitochondrial structure. The mRNA and protein expression of Shh， Ptch1， and Gli1 in the gastric mucosa were significantly decreased （P<0.05）， and E-cadherin protein expression was decreased. Compared with the model group， the intervention groups showed varying degrees of improvement in histopathological morphology and cellular ultrastructure. The mRNA and protein expression of Shh， Ptch1， Gli1， and E-cadherin increased to varying degrees. Xianglian Huazhuo Prescription upregulated the expression of key Hedgehog pathway factors and E-cadherin at both the mRNA and protein levels （P<0.05）. ConclusionXianglian Huazhuo prescription has a therapeutic effect on CAG in rats， and its mechanism may be related to activation of the Hedgehog signaling pathway and inhibition of epithelial-mesenchymal transition （EMT）.

OBJECTIVE To evaluate the cost-effectiveness of sacituzumab tirumotecan （ST） versus chemotherapy treatment physician’s choice （TPC） as second-line and later-line treatment for metastatic triple-negative breast cancer （mTNBC） from the perspective of China’s healthcare system. METHODS A partitioned survival model was constructed based on the OptiTROP-Breast 01 trial， with a cycle length of 4 weeks and a time horizon of 10 years， applying a 5% discount rate. Quality adjusted life year （QALY） and costs were used as outcome measures， and the incremental cost-effectiveness ratio （ICER） of ST versus TPC for second-line and later-line treatment of mTNBC was calculated. Sensitivity analyses were conducted to validate the robustness of the base-case results. RESULTS At a willingness-to-pay threshold （WTP） of 3 times China’s 2024 per capita gross domestic product （GDP） （287 247 yuan/QALY）， patients receiving ST gained incremental utility （0.42 QALY） at a higher cost， yielding an ICER of 205 562.07 yuan/QALY， which was lower than WTP， indicating that ST was more cost-effective compared to TPC. One-way sensitivity analysis revealed that key factors influencing the ICER included the utility value of progression-free survival and the price of ST. Probabilistic sensitivity analysis and scenario analysis showed that the base-case results were robust. CONCLUSIONS From the perspective of China’s healthcare system， at a WTP of 3 times China’s per capita GDP， ST is more cost-effective than TPC as second-line and later-line treatment for mTNBC.

Objective:Exploring the efficacy and safety of the combination of programmed cell death protein 1 (PD-1) inhibitors with chemotherapy for the treatment of local recurrence at the primary tumor site of esophageal squamous cell carcinoma (ESCC) following definitive chemoradiotherapy.Methods:Seventy-six patients with local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy, who were treated at the Cancer Hospital Affiliated with Nanjing Medical University from January 2019 to January 2024. All patients received treatment with a PD-1 inhibitor combined with chemotherapy, and the short-term efficacy, long-term efficacy, and adverse reactions were observed. Univariate and multivariate Cox regression models were employed to identify the factors influencing overall survival (OS) and after-recurrence survival (ARS).Results:Among the 76 patients, 7 achieved partial response, 35 had stable disease, and 34 experienced progressive disease. The objective response rate was 9.2% (7/76), and the disease control rate was 55.3% (42/76). With a median follow-up time of 23.1 months, 33 out of 76 patients died. The median survival time was 38.5 months (95% CI: 29.6-47.3 months); the 1-year, 2-year, and 3-year OS were 94.5%, 66.6%, and 51.7%, respectively. The median ARS was 14.7 months (95% CI: 10.4-19.1 months); the 6-month, 12-month, and 24-month ARS were 85.8%, 59.6%, and 25.7%, respectively. Univariate analysis showed that the initial radiation dose, the Eastern Cooperative Oncology Group (ECOG) performance status of patients after recurrence, the recurrence-free interval (RFI), and the approach to chemotherapy treatment following local esophageal recurrence were factors affecting OS and ARS ( P＜0.05). Multivariate analysis showed that initial radiotherapy dose ( HR=0.268, 95% CI: 0.100-0.720), the ECOG performance status after recurrence ( HR=4.106, 95% CI: 1.228-13.728), and RFI ( HR=0.248, 95% CI: 0.106-0.582) were independent prognostic factors for OS. Additionally, the initial radiation dose ( HR=0.289, 95% CI: 0.098-0.853) and the ECOG performance status after recurrence ( HR=5.143,95% CI:1.404-18.838) were independent prognostic factors for ARS. The incidence of treatment-related adverse-reactions was 85.5% (65/76). Grade 3 or higher treatment-related adverse reactions primarily included anemia in 4 cases, leukopenia in 8 cases, neutropenia in 9 cases, thrombocytopenia in 2 cases, liver function abnormalities in 4 cases, and elevated troponin T in 2 cases. There were no cases of treatment-related mortality. Conclusions:The combination of PD-1 inhibitors with chemotherapy is safe and effective for local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy and can provide survival benefits for patients. This approach can be considered as a therapeutic option for local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy.

Objective To identify key acoustic features associated with the progression of Alzheimer's disease(AD)through voice analysis combined with machine learning and feature selection techniques,thereby constructing classification models that serve as candidate tools for the early screening of AD.Methods Voice samples from AD,mild cognitive impairment(MCI)and healthy(HC)elderly individuals were obtained from the NCMMSC2021 AD voice dataset.The voice samples underwent data preprocessing,followed by feature extraction from the eGeMAPS feature set via the OpenSmile toolkit.Classification models were obtained utilizing random forest and support vector machine(SVM)algorithms.Significance testing and feature importance ranking were conducted using Python,and the further selection of the optimal features was performed through sequential forward selection(SFS).The classification performance before and after feature selection was compared and evaluated using accuracy and the area under the receiver operating characteristic curve(AUC).Results The significant acoustic features in the classification models primarily derived from spectral slope,formant,fundamental frequency,and loudness.The optimal classification performance was achieved with the SVM model following SFS feature selection,with recognition accuracies of 0.926(AUC=0.974)for AD/MCI group,0.875(AUC=0.956)for AD/HC group,and 0.879(AUC=0.904)for MCI/HC group.Conclusion SVM model performs better than random forest model,and the use of SFS for feature selection can effectively enhance model performance.Voice analysis has the potential to serve as a valuable supplementary tool for the rapid AD assessment and screening.

Objective To evaluate the cost-effectiveness of deucravacitinib in the treatment of moderate to severe plaque psoriasis from the perspective of the Chinese health system.Methods Based on POETYK PSO-1 study and related cost and utility data,a decision tree combined with Markov model was established.The model period was 10 years,and the output indicators of the model were cost and quality-adjusted life year(QALY).The evaluation index of the model was the incremental cost-effectiveness ratio(ICER).The willingness-to-pay threshold(WTP)was 3 times of China's per capita GDP in 2023.Sensitivity analysis was performed to evaluate the robustness of the model results.Results The incremental utility and incremental cost were 0.598QALYs and 130 677.51 yuan(RMB),respectively.The ICER of the two strategies was 218 487.11 yuan(RMB)per QALY gained,which was less than 3 times GDP per capita in 2023.Sensitivity analyses confirmed the robustness of the model.Conclusion Under the threshold of 3 times the GDP per capita in China,deucravacitinib is cost-effective in the treatment of moderate to severe plaque psoriasis.

BACKGROUND:The clearance pathway of metabolic waste in the brain is crucial for maintaining neural homeostasis.The accumulation of metabolic waste disrupts this equilibrium,representing a common pathological feature of many central nervous system diseases.In recent years,research focusing on the glymphatic system has emerged as a hotspot in the nervous system field.OBJECTIVE:To construct a knowledge map of glymphatic system research,visually analyze the current state of research,main hotspots,and future development trends within this area.METHODS:Utilizing CiteSpace,VOSviewer,and the Bibliometrix package in the R language environment,this study conducted an in-depth visual analysis of glymphatic system-related literature from the Web of Science Core Collection database,spanning from January 2012 to March 2024.This analysis included authors,institutions,countries,journals,keywords,and co-citation frequencies.RESULTS AND CONCLUSION:A total of 687 related articles were included in this study.The number of publications in this field increased year by year,showing an explosive growth trend in the past three years.The countries,institutions,and authors with the largest number of publications in this research field were the United States,University of Rochester,and Professor Maiken Nedergaard.The journal with the highest number of publications was JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM.The high-frequent and high-central keywords mainly focused on the mechanism such as cerebrospinal fluid hydrodynamics,neurological diseases such as Alzheimer's disease,and imaging techniques such as diffusion tensor imaging.The literature with the highest co-citation frequency was a classic review of the glymphatic system.The above results show that the research of glymphatic system is an emerging and active field,which has attracted wide attention at home and abroad and gradually expand from theoretical research to clinical practice.