It is very limited that the benefit of perioperative chemotherapy in early non-small cell lung cancer (NSCLC), and the 5-year survival rate is only 5% higher than surgery. Antibodies that block programmed cell death protein 1/programmed death-ligand 1 significantly improve the survival of advanced NSCLC. The value of immunotherapy in early NSCLC is also being explored. This paper firstly summarized and analyzed the progress of immunotherapy in the perioperative period of NSCLC. Secondly, the safety and feasibility of surgical resection after neoadjuvant immunotherapy were discussed. Finally, the clinical value of different therapeutic efficacy prediction indicators was summarized, in order to clarify the current status of immunotherapy in the perioperative period, so as to improve the clinical benefits of early NSCLC patients.

Objective To explore the application value of three mainstream large language models in the diagnosis, differential diagnosis, and treatment decision support of the primary diseases related to pediatric liver transplantation. Methods Seventy-nine cases of pediatric liver transplantation-related diseases diagnosed through pathological or clinical follow-up data were collected from Renji Hospital, Shanghai Jiao Tong University School of Medicine or published high-quality case reports. These cases covered 25 types of primary diseases such as cholestatic liver disease, metabolic diseases, and tumors. Standardized prompts were used to input the case information into the DeepSeek-R1, ChatGPT-4o and Grok-3 models, and the accuracy of their preliminary diagnosis and differential diagnosis based on basic clinical data was evaluated. The final diagnosis accuracy and the response time after supplementary examination were also assessed, as well as the completeness and rationality of their analysis of disease treatment principles. Results In the initial diagnosis and differential diagnosis stage, the comprehensive accuracy of DeepSeek-R1 was the highest [72.1%, 95% confidence interval (CI) 61.4% - 80.8%], and there was a statistically significant difference in the comprehensive accuracy of the three models for initial diagnosis (P = 0.008). After adding further examination information, the final diagnosis accuracy of the three models increased, with DeepSeek-R1 at 88.6% (95% CI 79.7% - 93.9%), ChatGPT-4o at 87.3% (95% CI 78.2% - 93.0%), and Grok-3 at 78.5% (95% CI 68.2% - 86.1%). There was no statistically significant difference among the three models (P = 0.05). The scores given by experts for the treatment principles showed good consistency (Kappa = 0.769). In addition, the response time of ChatGPT-4o is shorter than that of the other two models [(24 ± 7) s]. Conclusions Large language models demonstrate good efficacy in the diagnosis and treatment decision-making process of various pediatric liver diseases, have a good application prospect for auxiliary diagnosis and decision support, and are expected to help improve the accuracy and efficiency of clinical diagnosis and treatment of pediatric liver transplantation-related primary diseases.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

To address the growing challenge of an increasing number of elderly lung cancer patients amidst China's aging population and to fill the gap in quality control standards for surgical treatment in this special population, this study aimed to develop a standardized surgical evaluation system for elderly lung cancer patients tailored to China's national conditions. The system was established through a literature review, integrated the pathophysiological characteristics of elderly patients, and was constructed following review, feedback, and revision by experts from multiple thoracic surgery centers. Employing a 100-point scoring system, it comprises three primary domains: physical infrastructure and geriatric adaptability foundational conditions (10 points); management level and perioperative care models (20 points); and technical proficiency and clinical outcomes (70 points). The system places a strong emphasis on geriatric adaptability, proposing specific, quantifiable indicators for age-friendly facility modifications, control of elderly-specific complications, multidisciplinary collaboration, and standardized perioperative management. It provides a convenient and measurable assessment tool for quality control in the surgical treatment of elderly lung cancer in China, which is expected to promote the standardization and homogenization of diagnosis and treatment.

Objective To investigate the efficacy of subcutaneous flap and/or pedicled penile skin flap combined with advancement flap coverage technique in the treatment of urethrocutaneous fistula(UCF)secondary to failed repair and to improve the success rate. Methods The clinical data of 36 UCF patients after urethral repair admitted to our hospital during Jan. 2020 and Jan. 2024 were retrospectively analyzed. According to the location and surrounding condition of the fistula, the fistula was closed without tension, the subcutaneous flap and/or pedicled penile skin flap was combined with advancement flap coverage technique. The effects of the treatment were followed up. Successful repair was defined as unobstructed urination, no recurrence of fistula and no urethral stricture. Results The patients' age was(25.7±11.6)years, and the diameter of fistula was(8.1±2.2)mm. UCF occurred in 24 cases after hypospadias repair, and in 12 cases after the repair of other urethral injuries, including 2 cases of urethral compression injury after improper indwelling catheterization, 2 cases of urethral stone removal, 2 cases of urethral diverticulum repair, 2 cases of circumcision repair, 1 case of congenital anal atresia repair, and 3 cases of other urethral repair. The primary repair success rate was 83.3%(30/36). Among the 6 patients with unsuccessful primary repair, 3 were cured with a secondary repair, 1 was cured after wound dressing, and 2 were lost to follow-up. The primary repair success rates of penile shape, penile scrotal junction, and perineal urethral skin fistulas were 82.1%(23/28), 83.3%(5/6), and 100%(2/2), respectively. The primary repair success rates for fistulas with diameter ≤1.0 cm and＞1.0 cm were 85.2%(23/27)and 77.8%(7/9), respectively; for single and two urethrocutaneous fistulas, the success rates were 84.8%(28/33)and 66.7%(2/3); for patients with 1 and ≥2 previous repair attempts, the success rates were 87.5%(14/16)and 80.0%(16/20). During the follow-up of(15.1±3.5)months, no recurrence of fistula occurred, and all patients experienced unobstructed urination with a maximum urinary flow rate of(19.5±4.2)mL/s. Conclusion The failure rate of UCF repair is still high. Based on the location of the fistulas and the condition of the surrounding tissue, the surgical success rate can be improved by utilizing subcutaneous flap and/or pedicled penile skin flap combined with advancement flap coverage technique. This approach allows for tension-free suturing and multi-layer closure of the fistula.

AIM To compare total sugar,total protein,total phenol,total flavonoid,calycosin-7-O-β-D-glucoside,liquiritin,lobetyolin,quercetin,isoferulic acid,hesperidin,glycyrrhizic acid contents and their antioxidant activities,hypoglycemic activities of big honey pill,small honey pill,water pill,concentrated pill,granule,mixture and decoction of Buzhong Yiqi Recipe.METHODS Anthraquinone-sulfuric acid method,Coomassie brilliant blue method,Folin-phenol colorimetry method,sodium nitrite-aluminum nitrate method and HPLC were adopted in the content determination of total sugar,total protein,total phenol,total flavonoid and seven constituents,respectively,after which the scavenging capacities,reducing powers on DPPH·free radical,ABTS+free radical,hydroxyl free radical,and inhibition capacity on α-glucosidase activity were detected.Subsequently,correlation analysis was performed.RESULTS Total sugar,total protein,total phenol and total flavonoid contents demonstrated significant differences among different dosage forms(P＜0.05,P＜0.01).Calycosin-7-O-β-D-glucoside,glycyrrhizin,codonoside and quercetin displayed the highest contents in the decoction,while those of isoferulic acid,hesperidin and glycyrrhizin were observable in the mixture.The water pill exhibited the strongest antioxidant activity,while those of the concentrated pill and mixture were weak;the big honey pill exhibited the strongest hypoglycemic activity,while that of the decoction was the weakest.Total protein,total phenol,total flavonoid and liquiritin contents displayed significant positive correlations between antioxidant activity(P＜0.05,P＜0.01),while hesperidin content displayed significant negative correlation between the latter(P＜0.05);total protein,calycosin-7-O-β-D-glucoside,codonoside and quercetin contents displayed significant negative correlations between hypoglycemic activity(P＜0.05,P＜0.01).CONCLUSION Active constituent contents and their biological activities of Buzhong Yiqi Recipe with different dosage forms exist differences,total sugar,total protein,total flavonoids,calycosin-7-O-β-D-glucoside,licorice glycoside,hesperidin,codonoside and quercetin can be taken as quality control indices for this prescription.

This study systematically summarizes and analyses the current situation and the generation mechanism of overmedication in China based on the uncertainty and information asymmetry of medical services,and then puts forward targeted governance strategies.The study finds that overmedicalization in China is mainly manifested in the overuse of hospitalization,examinations,and surgical procedures,with the problem being particularly severe in primary healthcare institutions.The study concludes that the formation of overmedicalization in China is the product of the combined effect of multiple factors including the interest-driven mechanism,the supply of medical resources,the cognitive bias of patients,the payment method of medical insurance and the regulatory mechanism of medical behaviour.Based on these analyses,we propose five governance measures:deepening the reform of public hospital compensation systems,strengthening the planning of medical and health insurance resources,optimizing the health insurance benefit system and payment methods,establishing a disease-based medical behavior regulation system,and enhancing public health education.The coordinated implementation of these measures could suppress the overmedicalization effectively,improve the efficiency of healthcare services and achieve the high-quality development of China's healthcare system.

Objective:To comprehensively analyze the current situation of the policy tools for primary healthcare medication continuity and security in China,and to provide advice for improving the policy system of primary healthcare medication continuity and security.Methods:Based on the theory of policy tools,a two-dimensional analysis framework of"policy tools-policy goals"was constructed.Results:A total of 407 policy text codes were generated from 58 policy texts included in the analysis.Among them,the supply-based policy tools were the most(41.03%),followed by environmental(37.59%)and demand-based(21.38%);the policy goals mainly focused on promoting the equipment and linkage of medication(21.84%),optimizing the types of medication(18.88%),and improving the centralized supply and distribution of medication(18.25%).Conclusions:Significant regional disparities exist in the design and implementation of China's primary healthcare medication continuity and security policies.Certain policy tools are absent,policy objectives lack comprehensive coverage,and coordination remains inadequate.It is suggested to optimize regional policy layouts through differentiated configuration and cross-regional coordination,enhance policy adaptability by refining policy tool combinations,strengthen weak segments and vertical coordination,promote the articulation of primary healthcare medication based on tight medical consortium,and finally build a systematic and dynamically adaptive primary healthcare medication continuity and security policy system.

Objective:To comprehensively analyze the current situation of the policy tools for primary healthcare medication continuity and security in China,and to provide advice for improving the policy system of primary healthcare medication continuity and security.Methods:Based on the theory of policy tools,a two-dimensional analysis framework of"policy tools-policy goals"was constructed.Results:A total of 407 policy text codes were generated from 58 policy texts included in the analysis.Among them,the supply-based policy tools were the most(41.03%),followed by environmental(37.59%)and demand-based(21.38%);the policy goals mainly focused on promoting the equipment and linkage of medication(21.84%),optimizing the types of medication(18.88%),and improving the centralized supply and distribution of medication(18.25%).Conclusions:Significant regional disparities exist in the design and implementation of China's primary healthcare medication continuity and security policies.Certain policy tools are absent,policy objectives lack comprehensive coverage,and coordination remains inadequate.It is suggested to optimize regional policy layouts through differentiated configuration and cross-regional coordination,enhance policy adaptability by refining policy tool combinations,strengthen weak segments and vertical coordination,promote the articulation of primary healthcare medication based on tight medical consortium,and finally build a systematic and dynamically adaptive primary healthcare medication continuity and security policy system.

Objective To investigate the therapeutic effects of copper-doped barium titanate(BaCuTiO4)piezoelectric materials combined with low-intensity pulsed ultrasound(LIPUS)to activate their piezoelectric-catalytic synergistic effect for treating implant-associated infections.Methods BaCuTiO4 coatings were synthesized on the surface of Ti-6Al-4V substrates using a hydrothermal method,and their surface morphology was characterized by scanning electron microscopy.The piezoelectric characteristics of the coatings were analyzed using a piezoresponse force microscope.An in vitro biofilm model of methicillin-resistant staphylococcus aureus(MRSA)was used,with barium titanate(BaTiO3)coatings serving as the control group.Under LIPUS intervention(1.0 W/cm2,1 MHz,10 min),the bacterial viability was assessed using colony counting to evaluate the antibacterial performance of the BaCuTiO4 coatings.Confocal microscopy was used to observe biofilm viability in different groups,assessing the biofilm removal capability of the coatings.Reactive oxygen species(ROS)generation in each group was detected using Rhodamine b as a probe to evaluate the catalytic efficiency of the coatings in generating ROS.Results Copper doping significantly reduced the piezoelectric coefficient of the coating(from 17.7 pm/V to 7.8 pm/V),bringing its piezoelectric performance closer to the requirements of natural bone tissues.Under LIPUS activation,the BaCuTiO4 coatings increased the generation efficiency of reactive oxygen species by 67.5％and effectively disrupted and removed biofilms formed by MRSA,achieving an antibacterial rate of 90.5％.Conclusions The BaCuTiO4 coatings achieve efficient antibacterial and biofilm-clearing functions through a piezoelectric-catalytic synergistic mechanism.Their piezoelectric properties are well-matched with natural bone tissues,promoting implant osseointegration.