Uveal melanoma(UM)is the most common primary intraocular malignancy in adults, characterized by high invasiveness and unique metastatic biological features. Although local treatments(such as proton beam therapy and brachytherapy)can effectively control the primary lesion, approximately 50% of patients eventually develop distant metastasis, with the liver being the primary target organ(occurring in 90% of cases). This highlights a paradigm shift in treatment focus from mere local control to systemic prevention and management. For metastatic UM(mUM), current treatment strategies encompass biomarker-guided molecular targeted therapy, immunotherapy(including Tebentafusp, vaccines, and oncolytic virus therapy), and liver-directed therapy. Focusing on the synergy between local and systemic prevention and control, this article systematically elaborates on the precision local treatment for primary UM, the decision-making pathway for systemic treatment of metastatic UM based on molecular subtyping, the integration of local and systemic therapies for liver metastases, and the translational value of nanomedicine in addressing therapeutic bottlenecks. It provides insights for optimizing clinical management of mUM and developing novel therapeutic strategies.

Objective:To investigate the relationship between different types of tea intake and COVID-19 infection.Methods:Data were retrieved from a genome-wide association study(GWAS),involving 447 485,and 64 949 people for single nucleotide polymorphisms(SNPs).Two-sample Mendelian randomization(MR)analysis was used to investigate the relationship of different types of tea intake with four subgroups of COVID-19 infected population,including COVID-19 infected population versus general population,COVID-19 hospitalized population versus general population,COVID-19 hospitalized population versus non-hospitalized population,and very severe respiratory confirmed population versus general population.Inverse-variance weighted(IVW)method was used as the main method of causal analysis.MR Egger intercept was used for pleiotropy test,and Cochran's Q-statistic was used for heterogeneity test.Results:Compared to the general population,tea intake decreased the incidence of COVID-19 in the infection population(IVW method,OR=0.806,95%CI:0.651-0.999),and the hospitalized population(IVW method,OR=0.533,95%CI:0.369-0.770).Additionally,the underlying pleiotropy was not found following the MR-Egger regression intercept(MR intercept=-0.002,P=0.667),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=52.712,P=0.057).Compared to the general population,the underlying pleiotropy in the hospitalized patients was not found by MR-Egger regression intercept(MR intercept=-0.001,P=0.909),and the Cochran's Q-statistic showed no heterogeneity(Q-statistic=25.214,P=0.945).However,green tea and herbal tea had no effect on COVID-19 infection.Conclusions:Overall tea intake reduces the risk of COVID-19 infection in the general population compared to COVID-19 infected and hospitalized populations,while green tea and herbal tea have no protective effect against COVID-19 infection.

Complete dentures can be fabricated by cutting and grinding the resin in one step.It is worth trying to manufacture removable partial dentures through simulating this approach to minimize manual fabrication as much as possible.This article reports on a case where a digitally designed and milled removable partial denture was made from a cuttable resin.After a two-month postoperative follow-up,there was no significant pain or discomfort in the soft or hard tissues.This preliminary study suggests that this digital restoration plan could a-chieve good restoration results and can be further clinically promoted.

Objective To translate the English version of communicative effectiveness index(CETI)into Chinese and validate its reliability and validity for use in the elderly population.Methods The English version of CETI was translated into Chinese and back-translated using the Brislin translation model.After adjustments and pilot testing,a Chinese version of CETI was created.Between January and March 2024,a total of 395 elderly individuals aged 60 years and over were recruited from Jiangsu and Henan Provinces via convenience sampling.A total of 30 elderly people were retested with the Chinese version of CETI after two weeks of primary test to assess the reliability and validity of the scale.Results The Chinese version of CETI comprised two dimensions:conversational comprehensibility(5 items)and conversational initiative(4 items).The Cronbach α coefficient of the scale was 0.831with the split-half reliability 0.785 and the test-retest reliability 0.909.The Cronbach α coefficients of each dimension ranged from 0.641 to 0.778.The test-retest reliability of each dimension ranged from 0.889 to 0.936.The KMO value of exploratory factor analysis was 0.893,Bartlett's sphericity test valueχ 2=583.291(P<0.01),and the total explanatory rate of variation was 63.305%.Conclusion The Chinese version of CETI has good reliability and validity.It is suitable to be used in the assessment of the status of verbal communicative function in the elderly.

Objective To study the effect of wall thickness on the accuracy(trueness and precision)of 3D printed models.Methods The 3D scanning data of the standard gypsum dental arch model was imported into Exocad software.And four sets of models were de-signed,including horseshoe shaped solid model and horseshoe shaped hollow models with different wall thicknesses(2 mm,3 mm,4 mm).On the first and seventh day after printing,the 3D scanning data of resin models were imported into Geomagic software.Deviation analysis were performed on 3D printed models for the root mean square(root mean square,RMS).Results The trueness range of the four groups of printed models on the first day was(34.63±4.17)μm to(45.26±6.50)μm,there was no statistical difference.The pre-cision range was(30.25±10.18)μm to(47.65±14.77)μm,and the precision of the solid group was lower than the other three groups(P＜0.05).The trueness range of the four groups of printing models on the 7th day was(49.00±9.11)μm to(69.25±9.70)μm.The trueness of the 2 mm wall thickness group was lower than that of the solid group and the 4 mum wall thickness group(P＜0.05).Con-clusion The accuracy of printing models with different wall thicknesses was within the clinical acceptance range.There was no statisti-cally significant difference in the trueness values of the four groups of printing models on the first day.The precision value of the solid group was the lowest.On the 7th day,the trueness of the wall thickness of 2 mm group was lower than that of the solid group and the 4 mum wall thickness group.

Objective To study the effect of wall thickness on the accuracy(trueness and precision)of 3D printed models.Methods The 3D scanning data of the standard gypsum dental arch model was imported into Exocad software.And four sets of models were de-signed,including horseshoe shaped solid model and horseshoe shaped hollow models with different wall thicknesses(2 mm,3 mm,4 mm).On the first and seventh day after printing,the 3D scanning data of resin models were imported into Geomagic software.Deviation analysis were performed on 3D printed models for the root mean square(root mean square,RMS).Results The trueness range of the four groups of printed models on the first day was(34.63±4.17)μm to(45.26±6.50)μm,there was no statistical difference.The pre-cision range was(30.25±10.18)μm to(47.65±14.77)μm,and the precision of the solid group was lower than the other three groups(P＜0.05).The trueness range of the four groups of printing models on the 7th day was(49.00±9.11)μm to(69.25±9.70)μm.The trueness of the 2 mm wall thickness group was lower than that of the solid group and the 4 mum wall thickness group(P＜0.05).Con-clusion The accuracy of printing models with different wall thicknesses was within the clinical acceptance range.There was no statisti-cally significant difference in the trueness values of the four groups of printing models on the first day.The precision value of the solid group was the lowest.On the 7th day,the trueness of the wall thickness of 2 mm group was lower than that of the solid group and the 4 mum wall thickness group.

Objective: To investigate the influencing factors for cognitive function among aluminum workers, so as to provide the basis for intervention and prevention of cognitive function among aluminum-exposed populations. Methods: From July to August 2019, male aluminum workers in the electrolytic aluminum workshop of an aluminum factory in Shanxi Province were selected using the cluster sampling method. Demographic information, prevalence of chronic diseases, lifestyle behaviors, night shifts, and sleep quality were collected through questionnaire surveys. Blood aluminum levels were measured using inductively coupled plasma-mass spectrometry. Cognitive function was investigated using the Montreal Cognitive Assessment. Factors affecting cognitive function among aluminum workers were analyzed by a quantile regression model. Results: A total of 142 aluminum workers were surveyed, including 57 workers aged 20 to <40 years (40.14%) and 85 workers aged 40 to 60 years (59.86%). The median blood aluminum level was 38.23 (interquartile range, 21.82) μg/L. The median cognitive function score was 24.00 (interquartile range, 3.00) points. Quantile regression analysis revealed that older age (βQ5=-0.186, 95%CI: -0.269 to -0.102), lower educational level (βQ5=1.933, 95%CI: 1.029 to 2.838; βQ10=1.743, 95%CI: 0.480 to 3.006; βQ50=1.038, 95%CI: 0.141 to 1.935; βQ75=1.006, 95%CI: 0.437 to 1.575; βQ90=1.111, 95%CI: 0.291 to 1.930), smoking (βQ5=-2.056, 95%CI: -3.264 to -0.849), alcohol consumption (βQ5=-1.821, 95%CI: -3.247 to -0.396) and higher blood aluminum level (βQ5=-0.075, 95%CI: -0.110 to -0.040; βQ10=-0.078, 95%CI: -0.127 to -0.029; βQ50=-0.075, 95%CI: -0.110 to -0.040; βQ75=-0.057, 95%CI: -0.079 to -0.035; βQ90=-0.067, 95%CI: -0.099 to -0.035) were associated with cognitive function decline among aluminum workers. Conclusions Educational level and blood aluminum level are the main factors affecting the cognitive function among aluminum workers. Among those with lower cognitive function scores, age, smoking and alcohol consumption are also associated with cognitive function.

Objective To describe the evolution of multidimensional health poverty among Chinese residents over a decade and to depict the characteristics of vulnerable groups.Methods We collected data from 76 999 households in the China Family Panel Studies across six periods from 2010 to 2020.Using tools developed by the research team,it measured the multidimensional health poverty index and decomposed its contributing factors.A comprehensive multi-level analysis was conducted based on household head,family,and regional characteristics.Results From 2010 to 2020,the multidimensional health poverty index and incidence significantly decreased from 0.338 and 68.5％to 0.163 and 37.9％respectively.The contribution of the health rights dimension initially decreased and then increased,the health capability dimension's contribution decreased from 0.256 to 0.158,and the health risk dimension's contribution steadily increased from 0.375 to 0.500.If the head of the household is male,older,less educated,has chronic disease comorbidities,participates in the new rural cooperative medical system,and the household income is low and lives in rural areas and western regions,the multidimensional health poverty index of the household is higher.Conclusion From 2010 to 2020,the multidimensional health poverty index and incidence rate of Chinese families decreased,in which health risk gradually became the dominant factor,and the distribution of health poverty index showed distinct demographic,household and regional characteristics.

Glioma is the most common primary malignant tumor of the central nervous system in adults. Despite the standard treatment of surgery combined with radiotherapy and chemotherapy, the prognosis for high-grade glioma patients remains poor, highlighting the urgent need to further explore its pathogenesis and develop new therapeutic strategies. This article reviews the research progress in the field of glioma in China in 2024, covering tumorigenesis mechanisms, tumor immune microenvironment composition, advances in imaging techniques and novel imaging agents, improvements in surgical approaches, mechanisms of radio- and chemoresistance, and explorations of new therapeutic modalities. These studies provide a solid theoretical foundation for advancing clinical diagnosis and treatment of gliomas and may offer new opportunities to improve patient outcomes.

Background Some studies have suggested that exposure to multiple metals is closely linked to the development of metabolic syndrome (MS) in the populations, but the effect of aluminum exposure on MS remains unclear. Objective To analyze the prevalence and influencing factors of MS among employees with aluminum exposure in Shanxi Province. Methods Cluster sampling was employed to survey male frontline workers in an aluminum factory in Shanxi Province. Data on general demographic information, lifestyle, occupational history, medical history, and family history of chronic diseases were collected through questionnaires. The concentration of fasting blood glucose was determined using the glucose oxidase technique, and blood lipid levels were determined using the peroxidase method. Serum aluminum levels were detected using inductively coupled plasma-mass spectrometry (ICP-MS), and blood biochemical indicators were measured using the peroxidase method. Based on the China's 2020 diagnostic criteria for MS, the participants were and divided into an MS group anda non-MS group. Variables with statistical significance in univariate analysis were included to construct a logistic regression model. Results A cohort of 312 workers participated in this research, with 84 individuals diagnosed with MS, yielding a prevalence rate of 26.92%. The logistic regression model revealed that body mass index (BMI)≥24.0 kg·m⁻² (OR=1.967, 95%CI: 1.057, 3.659), alcohol consumption (OR=1.883, 95%CI: 1.063, 3.336), experiencing major life event (OR=3.886, 95%CI: 1.509, 10.008), family history of hypertension (OR=2.112, 95%CI: 1.162, 3.837), serum aluminum concentration (OR=1.024, 95%CI: 1.012, 1.035), alanine aminotransferase (ALT) level (OR=1.032, 95%CI: 1.011, 1.054), and white blood cell (WBC) count (OR=1.210, 95%CI: 1.001, 1.465) were significant influencing factors for MS. Conclusion BMI≥24.0 kg·m⁻², alcohol consumption, experiencing major life event, family history of hypertension, elevated serum aluminum concentration, increased ALT level, and elevated WBC count are risk factors for MS among occupationally aluminum-exposed workers.