Objective Based on data from the Global Burden of Disease Study 2023 (GBD 2023), this study analyzes the trends in disease burden and years lived with disability (YLD) of bladder cancer in China from 1990 to 2023. Methods Epidemiological data on bladder cancer in China were obtained from the GBD 2023 database.The age-standardized prevalence rate (ASPR), YLD and population attributable fraction (PAF) of risk factors were calculated.Temporal trends were evaluated using the estimated annual percentage change (EAPC), and Joinpoint regression was applied to compute the annual percent change (APC) and average annual percent change (AAPC) for trend analysis. Results Between 1990 and 2023, the number of bladder cancer patients requiring rehabilitation services increased from 213 568 cases to 587 191 cases, representing a 175.0% increase.The YLD rose from 22 158 to 56 620, marking a 155.6% growth.The ASPR increased from 22.6/100 000 to 25.7/100 000 (EAPC=0.06), indicating a stable trend.The age-standardized YLD rate (ASYR) remained at 2.5/100 000 (EAPC=-0.32), indicating a downward trend.Notably, gender disparities in disease burden were evident, with male patients and YLD being 4.63 times and 4.25 times higher than their female counterparts, respectively.Risk factor analysis showed that smoking and high fasting plasma glucose were the main risk factors for bladder cancer.The ASYR attributable to high fasting plasma glucose showed an increasing trend in males (EAPC=0.13) but a decreasing trend in females (EAPC=-1.41). Conclusion The demand for rehabilitation and disease burden of bladder cancer in China have significantly increased, with particularly heavy burdens among males and the elderly population.It is urgent to formulate targeted interventions, strengthen tobacco control, occupational protection, and weight management, and establish an integrated rehabilitation service system to address the increasingly severe disease burden caused by bladder cancer.

Objective:To explore the risk factors for in-hospital death after complete recanalization by mechanical thrombectomy and establish a risk prediction model in patients with acute large vessel occlusion stroke of the anterior circulation.Methods:A total of 468 patients with anterior circulation acute large vessel occlusion stroke who underwent mechanical thrombectomy in Stroke Center (Second Affiliated Hospital of Dalian Medical University), Department of Interventional Therapy (First Affiliated Hospital of Dalian Medical University), and Department of Neurointervention and Neurocritical Care (Central Hospital Affiliated to Dalian University of Technology) from January 2016 to November 2023 were selected. All patients achieved complete recanalization (modified thrombolysis in cerebral infarction: grading 3) immediately after thrombectomy. The clinical data, laboratory and imaging results of the patients were collected, and these patients were divided into in-hospital death group ( n=52) and in-hospital survival group ( n=416) according to occurrence of in-hospital death (all-cause death). Univariate analysis and multivariate Logistic regression analysis were used to screen the risk factors for in-hospital death, and a risk prediction model was constructed. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of the model, calibration curve and Hosmer-Lemeshow test were used to evaluate the accuracy of the model, and decision curve was used to evaluate the clinical utility of the model. Results:Univariate analysis showed that the in-hospital death group had significantly higher proportions of female patients, patients with atrial fibrillation, and patients with symptomatic intracranial hemorrhage compared with the in-hospital survival group (50.0% vs. 31.3%; 57.7% vs. 41.6%; 38.5% vs.11.8%), and significantly higher baseline blood glucose, and National Institutes of Health Stroke Scale score, neutrophil count, and neutrophil/lymphocyte ratio within 24 hours of thrombectomy (8.10 [7.05, 11.79] vs. 7.31[6.46, 9.25], 20 [16, 32] vs. 15 [10, 22], 10.09 [7.87, 13.19] vs. 8.47 [6.73, 10.32], 10.63 [5.87, 15.69] vs. 7.13 [5.16, 10.91], P<0.05). Multivariate Logistic regression analysis showed that female ( OR=2.533, 95% CI: 1.306-4.910, P=0.006), atrial fibrillation history ( OR=1.999, 95% CI: 1.044-3.827, P=0.037), neutrophil count within 24 hours of thrombectomy ( OR=1.162, 95% CI: 1.055-1.279, P=0.002), and symptomatic intracranial hemorrhage ( OR=4.066, 95% CI: 1.897-8.718, P<0.001) were independent risk factors for in-hospital death after complete recanalization; risk prediction model, accordingly, was 0.929×female+0.692×atrial fibrillation history+0.150×neutrophil count+1.403×symptomatic intracranial hemorrhage-5.349 ( P: probability of event occurrence). Area under ROC curve of the model was 0.765 (95% CI: 0.689-0.842, P<0.001); calibration curve and Hosmer-Lemeshow test of the model showed good accuracy ( χ2=7.656, P=0.468); decision curve of the model showed good clinical utility at threshold probability of 0.05-0.90. Conclusion:For patients with acute large vessel occlusion stroke at the anterior circulation complicated with atrial fibrillation, symptomatic intracranial hemorrhage or elevated neutrophil count within 24 hours of thrombectomy, or female patients with acute large vessel occlusion stroke at the anterior circulation, in-hospital death still needs to be highly alert after complete recanalization by mechanical thrombectomy.

Objective:To explore the risk factors for in-hospital death after complete recanalization by mechanical thrombectomy and establish a risk prediction model in patients with acute large vessel occlusion stroke of the anterior circulation.Methods:A total of 468 patients with anterior circulation acute large vessel occlusion stroke who underwent mechanical thrombectomy in Stroke Center (Second Affiliated Hospital of Dalian Medical University), Department of Interventional Therapy (First Affiliated Hospital of Dalian Medical University), and Department of Neurointervention and Neurocritical Care (Central Hospital Affiliated to Dalian University of Technology) from January 2016 to November 2023 were selected. All patients achieved complete recanalization (modified thrombolysis in cerebral infarction: grading 3) immediately after thrombectomy. The clinical data, laboratory and imaging results of the patients were collected, and these patients were divided into in-hospital death group ( n=52) and in-hospital survival group ( n=416) according to occurrence of in-hospital death (all-cause death). Univariate analysis and multivariate Logistic regression analysis were used to screen the risk factors for in-hospital death, and a risk prediction model was constructed. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of the model, calibration curve and Hosmer-Lemeshow test were used to evaluate the accuracy of the model, and decision curve was used to evaluate the clinical utility of the model. Results:Univariate analysis showed that the in-hospital death group had significantly higher proportions of female patients, patients with atrial fibrillation, and patients with symptomatic intracranial hemorrhage compared with the in-hospital survival group (50.0% vs. 31.3%; 57.7% vs. 41.6%; 38.5% vs.11.8%), and significantly higher baseline blood glucose, and National Institutes of Health Stroke Scale score, neutrophil count, and neutrophil/lymphocyte ratio within 24 hours of thrombectomy (8.10 [7.05, 11.79] vs. 7.31[6.46, 9.25], 20 [16, 32] vs. 15 [10, 22], 10.09 [7.87, 13.19] vs. 8.47 [6.73, 10.32], 10.63 [5.87, 15.69] vs. 7.13 [5.16, 10.91], P<0.05). Multivariate Logistic regression analysis showed that female ( OR=2.533, 95% CI: 1.306-4.910, P=0.006), atrial fibrillation history ( OR=1.999, 95% CI: 1.044-3.827, P=0.037), neutrophil count within 24 hours of thrombectomy ( OR=1.162, 95% CI: 1.055-1.279, P=0.002), and symptomatic intracranial hemorrhage ( OR=4.066, 95% CI: 1.897-8.718, P<0.001) were independent risk factors for in-hospital death after complete recanalization; risk prediction model, accordingly, was 0.929×female+0.692×atrial fibrillation history+0.150×neutrophil count+1.403×symptomatic intracranial hemorrhage-5.349 ( P: probability of event occurrence). Area under ROC curve of the model was 0.765 (95% CI: 0.689-0.842, P<0.001); calibration curve and Hosmer-Lemeshow test of the model showed good accuracy ( χ2=7.656, P=0.468); decision curve of the model showed good clinical utility at threshold probability of 0.05-0.90. Conclusion:For patients with acute large vessel occlusion stroke at the anterior circulation complicated with atrial fibrillation, symptomatic intracranial hemorrhage or elevated neutrophil count within 24 hours of thrombectomy, or female patients with acute large vessel occlusion stroke at the anterior circulation, in-hospital death still needs to be highly alert after complete recanalization by mechanical thrombectomy.

Objective To assess the effectiveness and safety of hyperthermia combined with chemotherapy(HCT)compared with chemotherapy (CT)for ovarian cancer. Methods Related literatures were searched by two independent investigators from the following electronic databases:PubMed,Cochrane Library,EMbase,VIP,WanFang Data,CNKI and CBM.Then the meta?analysis was performed by using RevMan 5.3 software. Results A total of 10 RCTs involving 546 patients were included. The results of Meta?analysis showed that the HCT group was superior to the CT group in the effective rate,tumor control rate,effective rate of CA125,ascites control rate and PD,with significant differences(P<0.05). There was no significant difference in the improvement rate of life quality and the incidences of myelosuppression,severe myelosuppression,severe nausea and vomiting,severe constipation and diarrhea,liver and renal damage(P>0.05). Conclusion Compared with CT,HCT can significantly increase short?term curative effect,ameliorate the quality of life,and it does not increase the incidence of adverse reactions. HCT is worthy of clinical applica?tion.