To systematically analyzed the reporting status of core elements in publicly available clinical practice guideline(hereafter referred to as "guideline") protocols published domestically and internationally over the past decade, identified existing problems, and provided evidence to inform the standardized writing and publication of future guideline protocols.

Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

Objective To establish an epirubicin (EPI)-resistant murine triple-negative breast cancer (TNBC) (4T1/EPI) cell line and evaluate its biological characteristics and drug resistance. Methods The EPI-resistant cell line 4T1/EPI was developed through intermittent induction with gradually increasing EPI concentrations in vitro. Morphological changes were observed under an inverted microscope. Drug resistance index (MTT assay), cell doubling time (CCK-8 assay), and migration ability (wound healing assay) were evaluated. Western blot was used to detect the expression of drug resistance-related proteins. Transcriptome sequencing and KEGG pathway enrichment analysis were performed to identify the pathways and targets involved in EPI resistance, followed by experimental validation. Results The 4T1 cells eventually grew normally in a medium containing 100 ng/mL EPI, confirming the establishment of the 4T1/EPI resistant cell line. After stable resistance was acquired, morphological alterations were observed. Compared with their parental 4T1 cells, 4T1/EPI cells showed significantly prolonged doubling time (P<0.01) and enhanced migration ability (P<0.05). Expression levels of drug resistance-related proteins MDR1, MRP1 (P<0.01), and ABCG2 (P<0.05) were elevated in 4T1/EPI cells. In vivo models also demonstrated significant EPI resistance in 4T1/EPI tumors in terms of tumor weight and volume. Transcriptome sequencing highlighted the involvement of the PI3K/Akt signaling pathway and ABC transporter pathway. Validation experiments showed the upregulation of Erbb3, Egfr, PI3K, and Akt (P<0.05) and significant downregulation of Fgfr1 (P<0.01) in 4T1/EPI cells. Conclusion The EPI-resistant TNBC cell line 4T1/EPI was successfully established, exhibiting significant resistance in vitro and in vivo. The mechanism may involve the EPI-induced upregulation of Egfr and Erbb3, activating the PI3K/Akt pathway and subsequently enhancing ABC transporter expression.

Shift work, as a form of non-conventional work schedule, significantly increases the risk of vascular aging and related diseases due to circadian rhythm disruption, sleep disturbances, and unhealthy lifestyle behaviors. This review systematically summarized the mechanisms and epidemiological evidence linking shift work to vascular aging. Available studies indicated that shift work disrupts the rhythmic expression of core circadian clock genes (e.g., BMAL1, CLOCK, PER, CRY), leading to dysregulated glucose and lipid metabolism, enhanced oxidative stress, chronic inflammation, and altered diurnal blood pressure patterns, thereby directly impairing endothelial function and accelerating arterial stiffness. Sleep deprivation and fragmentation further reduce nitric oxide bioavailability and promote endothelin-1 secretion, exacerbating vascular constriction and inflammatory responses. Existing epidemiological data show that shift workers exhibit higher prevalence of hypertension, metabolic syndrome, and atherosclerosis compared with non-shift workers, accompanied by abnormal vascular function indicators such as pulse wave velocity and carotid intima-media thickness. Additionally, unhealthy dietary habits, psychological stress, and sedentary behavior in shift workers synergistically contribute to vascular aging. This review aims to provide a theoretical basis for the pathological link between shift work and vascular aging and to inform public health policy formulation and occupational health management.

Objective To explore the role of chloride intracellular channel 5 (CLIC5) in the development of lung adenocarcinoma (LUAD). Methods The expression levels of CLIC5 in LUAD samples were determined using bioinformatics and qRT-PCR. The correlation between CLIC5 expression and LUAD progression was revealed through survival analysis and clinicopathological feature analysis. After the knockdown or overexpression of CLIC5 in the LUAD cells, cell proliferation was assessed through colony formation assay, cell apoptosis rate by flow cytometry, and cell migration and invasion by scratch and Transwell invasion assay. The protein levels of vimentin and Snail were detected by Western blot. Results Bioinformatics analysis results showed low CLIC5 expression levels in the LUAD samples. This finding was associated with the aggressive progression of LUAD and the poor survival of patients with LUAD. The qRT-PCR results confirmed that CLIC5 was mainly expressed in the cytoplasm of the LUAD cells. CLIC5 overexpression inhibited cell activity and proliferation and promoted the apoptosis of LUAD cells. The knockdown of CLIC5 exhibited the opposite effect. CLIC5 overexpression inhibited the migration and invasion of LUAD cells, downregulated Bcl-2, vimentin, and Snail and upregulated Bax, cleaved caspase-3 and E-cadherin in the LUAD cells. CLIC5 knockdown exhibited opposite effects. Conclusion CLIC5 overexpression promotes cell apoptosis and inhibits cell proliferation and invasion, thereby inhibiting the development of LUAD. Hence, CLIC5 is a novel biomarker of prognosis and therapeutic target for LUAD.

ObjectiveTo perform metabolic associated fatty liver disease （MAFLD） screening among individuals attending community health institutions， to identify the patients at a low， moderate or high risk of advanced liver fibrosis based on fibrosis-4 index （FIB-4） and liver stiffness measurement （LSM） measured by liver transient elastography， and to implement stratified management. MethodsA cross-sectional study was conducted among 630 individuals attending Beijing Baizhifang Community Health Service Center from January to July 2024， and they were divided into MAFLD group and non-MAFLD group. According to body mass index （BMI）， the MAFLD group was further divided into lean MAFLD group （BMI<23 kg/m²） and non-lean MAFLD group （BMI≥23 kg/m²）. The above groups were compared in terms of demographic features， laboratory markers， hepatic steatosis， and LSM. Fibrosis risk stratification was performed for MAFLD patients based on FIB-4 and LSM， and a closed-loop management system involving referral to tertiary hospitals and follow-up at community health institutions was implemented. The Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. ResultsThere were 445 individuals （70.6%） in the MAFLD group and 185 individuals （29.4%） in the non-MAFLD group. Compared with the non-MAFLD group， the MAFLD group had a significantly lower proportion of male individuals （χ²=4.299， P<0.05）， a significant reduction in the level of high-density lipoprotein cholesterol （Z=3.484， P<0.05）， and significant increases in body weight （Z=-7.366， P<0.05）， BMI （Z=-9.740， P<0.05）， waist circumference （Z=-6.397， P<0.05）， hip circumference （Z=-6.935， P<0.05）， alanine aminotransferase （ALT） （Z=-2.765， P<0.05）， fasting blood glucose （Z=-3.646， P<0.05）， triglyceride （TG） （Z=-6.569， P<0.05）， total cholesterol （Z=-2.033， P<0.05）， low-density lipoprotein cholesterol （Z=-2.935， P<0.05）， controlled attenuation parameter （CAP） （Z=-19.784， P<0.05）， and LSM （Z=-5.703， P<0.05）. Within the MAFLD group， there were 124 individuals （27.9%） in the lean MAFLD group and 321 individuals （72.1%） in the non-lean MAFLD group. Compared with the non-lean MAFLD group， the lean MAFLD group had significantly lower body weight （Z=-12.414， P<0.05）， BMI （Z=-16.363， P<0.05）， waist circumference （Z=-7.733， P<0.05）， hip circumference （Z=-8.595， P<0.05）， ALT （Z=-2.835， P<0.05）， aspartate aminotransferase （Z=-1.972， P<0.05）， TG （Z=-2.407， P<0.05）， CAP （Z=-4.429， P<0.05）， degree of steatosis （χ²=16.588， P<0.05）， and LSM （Z=-3.908， P<0.05）. Based on the results of FIB-4 and LSM， 76 patients at a moderate or high risk of liver fibrosis should be referred to a higher-level hospital for further management. ConclusionThe detection rate of MAFLD reaches 70.6% among the individuals attending community health institutions， among whom 76 （17.1%） should be referred to a higher-level hospital. Establishing a liver fibrosis risk stratification and management system based on FIB-4 and LSM among MAFLD individuals in communities provides a practical pathway for chronic disease management and referral system construction in community health institutions.

Patients with sudden deafness encounter greater psychological challenges and communication barriers after experiencing sudden hearing loss， and traditional medical models often fail to adequately address their unique needs. This paper analyzed the current situation of emotional and behavioral changes in patients with sudden deafness， and the gap between their expectations and the reality of medical care. From the perspective of narrative medicine， the theory and characteristics of the reconstruction of the doctor-patient relationships in patients with sudden deafness were explored. The results showed that narrative medicine can enhance patients’ emotional resonance and understanding， improve the efficiency and quality of doctor-patient communication， promote the formulation of personalized treatment plans， and enhance treatment adherence and satisfaction. Based on these results， strategies and pathways for the reconstruction of doctor-patient relationships for patients with sudden deafness were proposed， including building empathetic bridges and tapping into mechanisms of emotional resonance within narrative medicine； optimizing communication strategies and promoting the application of narrative techniques in doctor-patient dialogues； connecting narrative pathways and advocating the exploration of stories and strategies in personalized treatments； as well as facilitating treatment adherence and making full use of the psychodynamic effects of narrative medicine. Narrative medicine， as a patient-centered medical practice， can effectively promote the reconstruction of doctor-patient relationships， enhance treatment effectiveness， and offer a more humane treatment experience for patients.

With the continuous advancement of internet technology and the improvement of internet literacy among the general population, the concept of online-offline integration in internet hospitals has gradually gained acceptance and has been applied and developed both domestically and internationally. In thoracic surgery, the applicability of this model lies in enhancing efficiency and delivering comprehensive, diversified, and personalized medical services to address complex and severe conditions. However, challenges such as hardware limitations and diagnostic/treatment risks persist during the implementation of internet hospitals. Through future in-depth and localized research, the online-offline integration of internet hospitals is expected to undergo further development and refinement. This progress will facilitate its integration into clinical practice in thoracic surgery, ultimately providing patients with improved medical care services.

Diabetic retinopathy(DR)is one of the most common and severe microvascular complications in diabetic patients and has become one of the leading causes of blindness worldwide. With the continuous rise in the prevalence of diabetes, in-depth exploration of the pathogenesis of DR and effective intervention measures is of great clinical significance. The mechanistic target of rapamycin(mTOR), as a protein kinase, is widely involved in cellular processes such as growth, metabolism, and autophagy. Research indicates that the mTOR signaling pathway plays a crucial regulatory role in the pathological progression of DR, and its abnormal activity can disrupt retinal cell autophagy function, thereby accelerating cellular damage and disease progression. Autophagy, as an important regulatory mechanism for cellular homeostasis, maintains cellular functional balance by clearing damaged organelles and protein aggregates. This article provides a systematic review of the structural and functional aspects of the mTOR signaling pathway, the molecular regulatory mechanisms of autophagy, and their roles in retinal pathological changes. By summarizing current research findings, the article aims to clarify the key regulatory role of the mTOR-autophagy axis in DR, providing theoretical support for elucidating the molecular pathogenesis of DR and offering potential targets and research directions for developing novel targeted therapeutic strategies, thereby holding significant scientific and clinical value.

OBJECTIVE To construct a classification prediction model for vancomycin blood concentration， and to optimize its precision dosing strategies. METHODS Patient records meeting inclusion criteria were extracted from the Medical Information Mart for Intensive Care database. Following data cleaning and preprocessing， a final cohort of 9 902 patient was analyzed. Feature selection was performed through correlation analysis and the Boruta feature selection algorithm. Vancomycin blood concentrations were discretized into three categories based on clinical therapeutic windows： low （＜10 μg/mL）， intermediate （10-20 μg/mL）， and high （≥20 μg/mL）. Six machine learning algorithms were employed to construct classification models： tabular prior-data fitted network （TabPFN）， logistic regression （LR）， random forest （RF）， extreme gradient boosting （XGBoost）， support vector machine （SVM）， K-nearest neighbors （KNN）. Model performance was evaluated using 10-fold cross-validation （10-CV）， with primary metrics including： accuracy， balanced accuracy， precision macro， recall macro， macro F1， area under the receiver operating characteristic curve （OvR-AUC）. Shapley Additive Explanations （SHAP） was adopted to analyze the direction and magnitude of the impact that different features had on the model’s predictive outcomes. RESULTS The results showed that the RF and TabPFN models performed the best （with accuracy of 0.741 4 and 0.737 7， and OvR-AUC of 0.907 0 and 0.895 8， respectively）. XGBoost model exhibited moderate performance， while LR， SVM， and KNN models demonstrated relatively poor performance. Confusion matrix heatmap analysis revealed that both RF and TabPFN achieved higher accuracy in predicting high- concentration cases but exhibited slightly lower performance in the low and medium concentration categories. Bootstrap with 10-CV revealed that the RF model demonstrated stable performance across various evaluation metrics （accuracy： 0.741 4； balanced accuracy： 0.740 3； precision macro： 0.732 1； recall macro： 0.736 0； macro F1： 0.736 0； OvR-AUC： 0.907 0）， indicating good classification performance and generalization ability. SHAP analysis revealed that creatinine， urea nitrogen， daily cumulative dose and administration frequency of vancomycin， which were key predictors， had a significant impact on the prediction results. CONCLUSIONS RF and TabPFN models demonstrate certain advantages in the classification prediction of vancomycin trough blood concentrations； however， their performance in the low to moderate concentration categories still requires improvement.