Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

Objective To explore the dietary nutrition status and nutritional intervention strategy of patients with Alzheimer’s disease (AD). Methods Among the 1 332 patients with AD diagnosed at Xijing Hospital from January 2021 to December 2023 were enrolled as the study subjects. The dietary intake data of patients were collected through questionnaire surveys and dietary reviews. During the study period, 30 patients did not complete the intervention due to withdrawal or loss of follow-up. Based on the actual number of people who completed the intervention, AD patients were randomly divided into intervention group (n=651, individualized nutritional intervention strategy) and control group (n=651, routine nutritional intervention), and both groups were intervened for 3 months. The cognitive function (MMSE score and MoCA score), nutritional status (MNA scale, NRS-2002 scale), and quality of life (GQOL-74) of the two groups of AD patients were compared to evaluate the effectiveness of the intervention strategies. Results A total of 1 332 questionnaires were distributed, and 1 302 valid questionnaires were finally recovered, with an effective recovery rate of 97.75% (1 302/1 332). The survey results showed that there were no statistical differences in baseline characteristics and dietary nutrition status between the two groups of AD patients before intervention (P>0.05). After nutritional intervention, the cognitive function, quality of life, and nutritional status of patients in the intervention group were significantly improved. The MMSE score, MoCA score, MNA score, and GQOL-74 score of the intervention group were significantly higher than those of the control group, while the NRS-2002 score was lower than that of the control group (P<0.05). Conclusion Nutritional intervention strategy has a significant effect on improving nutritional status, cognitive function, and quality of life of AD patients.

Objective:To construct and validate a depression risk prediction model for middle-aged and elderly patients with diabetes.Methods:Data were extracted from the fifth wave (2020) of the China Health and Retirement Longitudinal Study (CHARLS). A total of 900 diabetic patients were identified, and after excluding those with missing data or invalid questionnaires, 769 patients were included in the analysis. Patients were randomly divided into a training set and a validation set in a 7∶3 ratio. Univariate analysis and logistic regression analysis were performed to screen the optimal predictors of depression in diabetic patients, and a nomogram model was developed. The predictive performance of the model was assessed by the area under the receiver operating characteristic curve ( AUC). Model calibration and accuracy were evaluated using bootstrap resampling, calibration plots, and the Hosmer-Lemeshow test. The clinical utility was further assessed by decision curve analysis (DCA) and clinical impact curves (CIC) . Results:Among the 769 patients, 366 (47.59%) had depression. Logistic regression analysis showed that place of residence, pain, difficulty in toileting, difficulty in bathing, sleep duration, physical exercise, life satisfaction, and children's satisfaction were independent predictors of depression in diabetic patients. A nomogram was constructed based on these variables, yielding an AUC of 0.775. At the optimal cutoff value of 0.557, the model demonstrated a sensitivity of 59.1% and a specificity of 84.8%, indicating good discriminative ability. The Hosmer-Lemeshow test showed (χ 2=15.821, P=0.105), suggesting good agreement between predicted and observed outcomes. In the validation set, the AUC was 0.778, with Hosmer-Lemeshow (χ 2=8.557, P=0.575). DCA and CIC indicated favorable clinical applicability of the model. Conclusions:The depression risk prediction model constructed in this study demonstrated good predictive performance. It can assist clinicians in early identification of high-risk individuals with diabetes and provide a theoretical basis for targeted interventions.

Objective To addresses the challenges arising from the rapid expansion of pharmaceutical clinical trials and the growing demands for quality management,this paper investigates the application of low-code technology in project management.Its goals are to enhance the operational efficiency and execution capabilities of clinical trial institutions,ensure trial quality and safety,and accelerate the translation of pharmaceutical scientific achievements.Methods A brainstorming session was conducted to analyze the technical and functional requirements for managing pharmaceutical clinical trial projects.Utilizing the ＂template design＂ and ＂decision analysis＂ functionalities of low-code technology,the study adopted a modular and visually driven data management approach to develop a system compliant with Good Clinical Practice(GCP)standards.This system integrates key functionalities,including project progress management,funding management,drug inventory management,and quality control.Its effectiveness was evaluated through real-world operation and performance validation.Results The system had demonstrated stable operation with substantial improvements in practical application.Compared with conventional management approaches,it significantly enhanced project management efficiency:the time required for project schedule management was reduced by 80%,the efficiency of financial processing increased by 95%,drug inventory management efficiency improved by 75%,and the time spent on quality control was shortened by 60%.Conclusion The pharmaceutical clinical trial project management system developed using low-code technology offers substantial advantages and promising application potential.It represents a critical practice in applying digital and intelligent tools to advance pharmaceutical productivity in the medical and healthcare sectors.

Objective To explore the value of the minimum intensity projection(minIP)images generated by post-processing of susceptibility weighted imaging(SWI)and corrected phase image(CPI)in evaluating the asymmetrical prominent veins sign(APVS)in acute ischemic stroke.Methods A retrospective analysis was conducted on 86 patients with acute ischemic stroke.Group A underwent conventional SWI reconstruction to generate minIP images,while group B used CPI for re-reconstruction to produce minIP images.Both groups used the same scanning method but different post-processing techniques to generate two sets of images,with each group consisted of 86 patients.Two deputy chief physicians of imaging diagnostics scored subjectively with a double-blind 5-point method to compare the ability of the two groups to display APVS and analyze the display rate of APVS.Results The subjective scores of group B were significantly higher than those of group A,with a statistically significant difference(P<0.05).The display rates of APVS in groups A and B were 67.44%and 73.26%respectively.Group B had a higher display rate of APVS below the tentorium cerebelli than above it.Conclusion The minIP images generated by CPI post-processing can achieve the effects similar to phase difference enhanced imaging(PADRE),and is superior to SWI reconstruction method in displaying APVS.It can be used as a supplementary post-processing method when acute stroke shows poor APVS,which has practical clinical application value and can provide more imaging basis for clinical practice.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

Objective To observe the effectiveness and safety of DiaSphere embolized microsphere TACE for treating primary hepatocellular carcinoma(HCC).Methods Totally 188 patients with HCC were prospectively enrolled and randomly assigned to research group(n=93)and control group(n=95),who underwent TACE with DiaSphere embolized microspheres and Embosphere embolized microspheres,respectively.The incidence of TACE-related adverse events were recorded.The therapeutic efficacy 1 month after the first TACE,also 1 and 3 months after the last TACE,and liver functions 1 month after the first and last TACE were compared between groups.Results In research group,there were 69 cases underwent 1 time TACE,22 cases underwent 2 times and 2 cases underwent 3 times TACE,while in control group,there were 82 cases underwent 1 time and 13 cases underwent 2 times TACE,respectively.No statistical difference of the incidence of adverse events was found between groups(77.42%[72/93]vs.76.84%[73/95],P=1.000).One month after the first TACE,7 cases in research group and 11 cases in control group were lost to follow-up,respectively.One month after the last TACE,12 cases were lost to follow-up in both groups,and 3 months after the last TACE,28 cases were lost to follow-up in both groups.No significant difference of objective response rate nor disease control rate was found between groups at the above time points(all P＞0.05).One month after the first and last TACE,liver function indicators were not different between groups(all P＞0.05).Conclusion Both the short-term efficacy and safety of TACE with DiaSphere embolized microspheres for treating HCC were good.

Bone metastasis,as a common terminal event in patients with advanced malignant tumors,significantly impacts patients'quality of life and survival prognosis,posing a major clinical challenge in the field of oncology.With the deepening understanding of tumor biology,the treatment paradigm for bone metastasis has progressively shifted from traditional palliative care to precise targeted interventions.Currently,clinical treatment strategies have demonstrated diversified development,with various therapeutic approaches-including radiotherapy,immunotherapy,bone-modifying agents,and small-molecule targeted drugs—achieving notable clinical progress.However,existing treatment regimens still face challenges such as significant interindividual variability in efficacy,frequent drug resistance,and prominent adverse effects.This article systematically reviews the latest advances in precision therapy for bone metastasis,provides an in-depth analysis of the strengths and limitations of different treatment strategies,and offers perspectives on future research directions and therapeutic prospects,aiming to provide reference for optimizing clinical practice and promoting translational research.

Objective To analyze the association between plasma circulating tumor DNA(ctDNA)TP53 mutation status and survival outcomes in breast cancer patients.Methods PubMed,Embase,and the Cochrane Library were searched for relevant literature published between 2000 and 2025,examining the impact of plasma ctDNA TP53 mutations on survival outcomes in breast cancer patients,including overall survival(OS),progression-free survival(PFS),or disease-free survival(DFS).Two researchers independently screened the literature according to predefined inclusion and exclusion criteria and extracted relevant data.The Newcastle-Ottawa scale and Cochrane Risk of Bias Assessment Tool were used to evaluate study quality.Meta-analysis,publication bias assessment,and sensitivity analysis were performed using Review Manager 5.3 and STATA 18.0 software.Results A total of 14 studies(13 cohort studies and 1 randomized controlled trial)in-volving 3521 breast cancer patients were included,among whom 921 had TP53 mutations.All studies were as-sessed as high-quality or low-risk.The random-effects model demonstrated that TP53 mutations were significantly associated with poorer OS(I2=77%,HR=1.82,95%CI:1.15-2.88,P=0.010),PFS(I2=63%,HR=1.68,95%CI:1.30-2.17,P＜0.001),and DFS(I2=85%,HR=1.98,95%CI:1.05-3.75,P=0.040).Funnel plots indicated no significant publication bias,and sensitivity analysis confirmed the stabil-ity and reliability of the results.Subgroup analyses based on study design,breast cancer stage and molecular subtype revealed that TP53 mutations were associated with worse prognosis in prospective studies(OS:HR=2.32,95%CI:1.84-2.92,P＜0.001;PFS:HR=1.83,95%CI:1.47-2.27,P＜0.001),metastatic/ad-vanced breast cancer(OS:HR=2.03,95%CI:1.44-2.87,P＜0.001;PFS:HR=1.90,95%CI:1.57-2.31,P＜0.001),and hormone receptor-positive and human epidermal growth factor receptor 2-negative(HR+HER2-)patients(OS:HR=2.11,95%CI:1.56-2.85,P＜0.001;PFS:HR=1.94,95%CI:1.62-2.33,P＜0.001).Among different treatment regimens,patients with TP53 mutations receiving trastuzumab combined with paclitaxel exhibited relatively better prognosis(PFS:HR=0.08,95%CI:0.02-0.30,P＜0.001).Conclusion Plasma ctDNA TP53 mutations are closely associated with survival outcomes in breast cancer patients and may serve as a potential predictor of poor prognosis,providing support for clinical manage-ment and prognostic assessment.

Bone metastasis,as a common terminal event in patients with advanced malignant tumors,significantly impacts patients'quality of life and survival prognosis,posing a major clinical challenge in the field of oncology.With the deepening understanding of tumor biology,the treatment paradigm for bone metastasis has progressively shifted from traditional palliative care to precise targeted interventions.Currently,clinical treatment strategies have demonstrated diversified development,with various therapeutic approaches-including radiotherapy,immunotherapy,bone-modifying agents,and small-molecule targeted drugs—achieving notable clinical progress.However,existing treatment regimens still face challenges such as significant interindividual variability in efficacy,frequent drug resistance,and prominent adverse effects.This article systematically reviews the latest advances in precision therapy for bone metastasis,provides an in-depth analysis of the strengths and limitations of different treatment strategies,and offers perspectives on future research directions and therapeutic prospects,aiming to provide reference for optimizing clinical practice and promoting translational research.