Stroke is a critical health issue in China, and carotid artery stenosis and plaque play key roles in its prevalence. Despite the acknowledged significance of this condition, detailed information regarding the prevalence of carotid artery stenosis and plaque across the Chinese population has been scarce. This study analyzed data from the China Stroke High-risk Population Screening and Intervention Program for 2020-2021, focusing on 194 878 Chinese adults aged 40 years and above. It assessed the prevalence of carotid artery stenosis and plaque and identified their associated risk factors. Results revealed a standardized prevalence of 0.40% for carotid artery stenosis and 36.27% for carotid plaque. Notably, the highest rates of stenosis were observed in north and south China at 0.61%, while southwestern China exhibited the highest plaque prevalence at 43.17%. Key risk factors included older age, male gender, hypertension, diabetes, stroke, smoking, and atrial fibrillation. This study highlights significant geographical and demographic disparities in the prevalence of these conditions, underlining the urgent need for targeted interventions and policy reforms. These measures are essential for reducing the incidence of stroke and improving patient outcomes, addressing this significant health challenge in China.
Humans ; China/epidemiology* ; Male ; Female ; Prevalence ; Middle Aged ; Carotid Stenosis/epidemiology* ; Risk Factors ; Aged ; Adult ; Plaque, Atherosclerotic/epidemiology* ; Stroke/epidemiology* ; Aged, 80 and over

Objective To conduct a network meta-analysis on the effectiveness of first-line immunotherapy on patients with brain metastases from advanced non-small cell lung cancer(NSCLC).Methods Two investigators conducted a computerized search of Pubmed,Embase,Cochrane,and other databases to screen the literature,extract the information,and assess the risk of bias of the included studies.The included clinical trials were statistically analyzed using R(4.1.3)software.For the study outcome indicators OS and PFS,the risk ratios(HRs),and the 95%confidence intervals(CIs)were extracted from the included studies and logarithmically transformed into effect analysis statistics.Results Six randomized controlled trials were finally included,including 327 patients with non-excludable NSCLC brain metastases.Network meta-analysis suggested that PD-1 inhibitor+CTLA-4 was more advantageous than the conventional chemotherapy for enhancing patients'OS(HR:0.13,95%CI:0.03-0.71),followed by PD-L1 inhibitor(HR:0.17,95%CI:0.04-0.74)and PD-1 inhibitor+chemotherapy(HR:0.36,95%CI:0.2-0.63).PD-1 inhibitor+CTLA-4 was also more advantageous(HR:0.37,95%CI:0.15-0.93)than the conventional chemotherapy for boosting patients'PFS,followed by PD-L1 inhibitor+chemotherapy(HR:0.44,95%CI:0.29-0.66)and PD-1 inhibitor(HR:0.48,95%CI:0.27-0.86).Conclusion Immune checkpoint inhibitor therapy improves the survival of patients with brain metastases from advanced NSCLC.In particular,the combination of PD-1 inhibitor and CTLA-4 inhibitor show excellent survival benefit.

The tumors of central nervous system refer to a group of benign and malignant diseases originating from tissues or structures within the central nervous system. Common tumors of central nervous system are sporadic, but a few have familial onset. Compared with sporadic brain tumors, the clinical symptoms, diagnostic ideas and follow-up review plans of familial brain tumors are more complicated. The multidisciplinary diagnosis and treatment (MDT) mode usually refers to a treatment mode in which a case involving multiple organs and systems is discussed, and the best treatment plan is formulated for the patient based on the comprehensive opinions of various disciplines. Because familial brain tumors often involve multiple organs, multiple disciplines and multiple systems, and their low incidence leads to less clinical experience for neurosurgeons, the MDT model is more conducive to efficient diagnosis, treatment and management of familial brain tumors. This review elaborates on the neurosurgeon-led MDT model, and introduces the latest research on the epidemiology, genetic characteristics, clinical manifestations, diagnostic ideas and multidisciplinary management of familial brain tumors.