OBJECTIVE: Asthma imposes a significant global health burden. This study examines changes in the asthma-related disease burden from 1990 to 2021 and projects future burdens for 2050 under different scenarios. METHODS: Using data from the Global Burden of Disease 2021 study, we analyzed asthma incidence, prevalence, mortality, and disability-adjusted life years (DALYs) from 1990 to 2021. We projected the disease burden for 2050 based on current trends and hypothetical scenarios in which all risk factors are controlled. Temporal trends in age-standardized incidence, prevalence, mortality, and DALY rates were explored using Annual Percent Change. RESULTS: In 2021, the age-standardized rates for asthma incidence, prevalence, mortality, and DALYs in China were 364.17 per 100,000 (95% uncertainty interval [ UI]: 283.22-494.10), 1,956.49 per 100,000 (95% UI: 1,566.68-2,491.87), 1.47 per 100,000 (95% UI: 1.15-1.79), and 103.76 per 100,000 (95% UI: 72.50-145.46), respectively. A higher disease burden was observed among Chinese men and individuals aged 70 years or older. Compared to the current trend, a combined scenario involving improvements in environmental factors, behavioral and metabolic health, child nutrition, and vaccination resulted in a greater reduction in the disease burden caused by asthma. CONCLUSION Addressing modifiable risk factors is essential for further reducing the asthma-related disease burden.
Humans ; Asthma/mortality* ; China/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Aged ; Child ; Adolescent ; Global Burden of Disease/trends* ; Child, Preschool ; Young Adult ; Infant ; Cost of Illness ; Disability-Adjusted Life Years ; Prevalence ; Incidence ; Infant, Newborn ; Aged, 80 and over ; Risk Factors

BACKGROUND: Lung cancer ranks as the foremost cause of cancer-related deaths in China, significantly undermining population health and longevity. By analyzing the trends of death and years of life lost caused by lung cancer in Handan from 2017 to 2023, data support is provided for the formulation of prevention and treatment strategies. METHODS: Lung cancer death data in Handan during 2017-2023 were collected. Excel 2010, SPSS 26.0 and Joinpoint 4.9.0.0 were used to analyze the mortality rate of lung cancer, average annual percentage change (AAPC), cause eliminated life expectancy (CELE), potential gains in life expectancy (PGLEs), Fulfillment index, potential years of life lost (PYLL), potential years of life lost rate (PYLLR), and standardized potential years of life lost rate (SPYLLR). RESULTS: The standardized mortality rate of lung cancer in Handan from 2017 to 2023 showed a decreasing trend (AAPC=-7.10%, P<0.01). The CELE of lung cancer increased by 2.49 years (AAPC=0.48%, P<0.05). The life loss rate decreased by 21.43% (AAPC=-4.61%, P<0.05). The Fulfillment index by lung cancer increased with the growth of age from 2017 to 2023. The PYLL, PYLLR, standardized potential years of life lost (SPYLL) and SPYLLR of lung cancer during 2017 to 2023 were 134,219.75 person years, 2.03‰, 98,735.63 person years, and 1.49‰, respectively. The annual PYLLR and SPYLLR showed a decreasing trend (AAPC=-6.34%, -9.34%, respectively, P<0.01). CONCLUSIONS The standardized mortality rate of lung cancer in Handan from 2017 to 2023 showed a decreasing trend, and the impact of lung cancer on life expectancy decreased. The mortality rates of lung cancer showed significant differences among different ages and genders. It is necessary to take good measures to prevent and control lung cancer in males and higher age groups.
Lung Neoplasms/mortality* ; Humans ; Male ; Life Expectancy/trends* ; Female ; China/epidemiology* ; Aged ; Middle Aged ; Aged, 80 and over ; Adult ; Young Adult

BACKGROUND: Neglected tropical diseases (NTDs) and malaria pose a major health challenge, especially in low- and middle-income countries. METHODS: Initially, we performed a descriptive analysis of the Global Burden of Disease (GBD) 2021 database, categorizing data by subtypes. Next, linear regression models were employed to analyze temporal trends. We then utilized four predictive models to forecast the future burden. Additionally, we explored the relationship between estimated annual percentage change (EAPCs) and age-standardized rates (ASRs), as well as Human Development Index (HDI) scores for 2021. Furthermore, decomposition analysis was applied to assess the influence of aging, population dynamics, and epidemiological changes. Lastly, frontier analysis was conducted to examine the connection between disease burden and sociodemographic development. RESULTS: In 2021, NTDs and malaria contributed significantly to the global disease burden, with considerable disparities across genders, age groups, Socio-demographic Index (SDI) regions, GBD regions, and individual countries. From 1990 to 2021, both the number of cases and the associated ASRs have shown a recent downward trend. The EAPCs are positively correlated with ASRs and HDI scores. Projections indicate a continued decline in disease burden through 2046. Additionally, our decomposition analysis highlighted the positive impact of aging and epidemiological shifts on the reduction of the disease burden. Finally, frontier analysis revealed that countries and regions with higher SDI scores have greater potential for further reducing their health burden. CONCLUSION While the global burden of NTDs and malaria has improved overall, significant disparities remain across regions and countries. Our findings highlight the importance of implementing targeted intervention strategies and maintaining sustained investments to tackle the ongoing challenges.
Malaria/epidemiology* ; Humans ; Neglected Diseases/epidemiology* ; Global Burden of Disease/trends* ; Global Health/statistics & numerical data* ; Male ; Female ; Tropical Medicine ; Adult ; Cost of Illness ; Child, Preschool ; Middle Aged ; Adolescent ; Young Adult ; Infant

In recent years, China has continued to face a high prevalence of oral diseases, along with uneven access to high-quality dental care. Against this backdrop, artificial intelligence (AI), as a data-driven, algorithm-supported, and model-centered technology system, has rapidly expanded its role in transforming the landscape of stomatology. This review summarizes recent advances in the application of AI in stomatology across clinical care, biomedical and materials research, education, and hospital management. In clinical settings, AI has improved diagnostic accuracy, streamlined treatment planning, and enhanced surgical precision and efficiency. In research, machine learning has accelerated the identification of disease biomarkers, deepened insights into the oral microbiome, and supported the development of novel biomaterials. In education, AI has enabled the construction of knowledge graphs, facilitated personalized learning, and powered simulation-based training, driving innovation in teaching methodologies. Meanwhile, in hospital operations, intelligent agents based on large language models (LLMs) have been widely deployed for intelligent triage, structured pre-consultations, automated clinical documentation, and quality control, contributing to more standardized and efficient healthcare delivery. Building on these foundations, a multi-agent collaborative framework centered around an AI assistant for stomatology is gradually emerging, integrating task-specific agents for imaging, treatment planning, surgical navigation, follow-up prediction, patient communication, and administrative coordination. Through shared interfaces and unified knowledge systems, these agents support seamless human-AI collaboration across the full continuum of care. Despite these achievements, the broader deployment of AI still faces challenges including data privacy, model robustness, cross-institution generalization, and interpretability. Addressing these issues will require the development of federated learning frameworks, multi-center validation, causal reasoning approaches, and strong ethical governance. With these foundations in place, AI is poised to move from a supportive tool to a trusted partner in advancing accessible, efficient, and high-quality stomatology services in China.
Artificial Intelligence ; Humans ; Oral Medicine/trends* ; China ; Delivery of Health Care ; Machine Learning

OBJECTIVES: Rheumatoid arthritis (RA) imposes a heavy burden on individuals, families, and society. This study analyzed the incidence and mortality trends of RA in China from 1990 to 2023 to provide epidemiological evidence for precise prevention and control. METHODS: Data on RA incidence, age-standardized incidence rate (ASIR), deaths, and age-standardized mortality rate (ASMR) in China by sex and age group from 1900 to 2021 were extracted from the Global Burden of Disease (GBD) 2021 database. Joinpoint regression was used to analyze trends in ASIR and ASMR. An age-period-cohort model was constructed using R4.3.1 to evaluate longitudinal age trends and estimate relative risk (RR) values for period and cohort effects. RESULTS: In 2021, the number of RA cases, ASIR, deaths, and ASMR in China were 247 300, 13.70 per 100 000, 10 300, and 0.54 per 100 000, respectively. From 1990 to 2021, the ASIR of RA increased annually among both females and males, with average annual percentage changes (AAPCs) of 0.44% and 0.72%, respectively. Over the same period, ASMR declined in the total population and among females, with AAPCs of -0.78% and -1.19%, while the change in males was not statistically significant. Age-period-cohort analysis showed that the peak incidence occurred in women aged 60-64 years and men aged 75-79 years, and mortality increased with age. The period effect for incidence rose in both sexes, reaching 1.10 [95% confidence interval (CI) 0.94 to 1.27] for females and 1.14 (95% CI 1.02 to 1.27) for males during 2017 to 2021, compared with 2002 to 2006. The mortality period effect RR exhibited a downward-upward-downward pattern, decreasing to 0.56 (95% CI 0.52 to 0.61) in females and 0.75 (95% CI 0.68 to 0.82) in males in 2017 to 2021. Cohort analysis indicated that the highest incidence risk occurred in individuals born during 2012 to 2016, while the cohort effect RR for female RA mortality showed a continuous decline beginning with the 1922 to 1926 birth cohort. CONCLUSIONS The incidence and mortality risks of RA in China have continued to decline. However, with the aging of the population, the incidence and mortality risks among the elderly have increased. Middle-aged women and elderly men should receive focused attention. Health authorities should strengthen education, prevention, and screening among middle-aged women and enhance disease monitoring in elderly populations to reduce the national burden of RA.
Humans ; China/epidemiology* ; Arthritis, Rheumatoid/epidemiology* ; Incidence ; Male ; Female ; Middle Aged ; Adult ; Aged ; Cohort Studies ; Mortality/trends* ; Age Distribution ; Age Factors ; Aged, 80 and over ; Adolescent

Immunomodulatory cancer therapy is witnessing the rise of viral immunotherapy. The oncolytic influenza A virus, although promising in preclinical investigations, remains to be implemented in clinical practice. Recent progress in genetic engineering, coupled with experiential insights, offers opportunities to enhance the therapeutic efficacy of the influenza A virus. This review explores the use of the influenza virus, its attenuated forms, and associated vaccines in cancer immunotherapy, highlighting their respective advantages and challenges. We further elucidate methods for engineering influenza viruses and innovative approaches to augment them with cytokines or immune checkpoint inhibitors, aiming to maximize their clinical impact. Our goal is to provide insights essential for refining influenza A virus-based viral tumor immunotherapies.
Humans ; Neoplasms/immunology* ; Immunotherapy/trends* ; Influenza A virus/immunology* ; Oncolytic Virotherapy/trends* ; Animals ; Cancer Vaccines/therapeutic use* ; Oncolytic Viruses ; Genetic Engineering ; Immune Checkpoint Inhibitors/therapeutic use*

Objective:Over the past decades, minimally invasive cochlear implantation（CI） have achieved significant advancements, evolving from initial emphasis on incision miniaturization to comprehensive strategies for preserving intracochlear structures and functions, as well as optimizing overall minimally invasive surgical procedure. However, current academic debates persist regarding standardized definitions and consensus on technical protocols. Future research should prioritize innovations in surgical-assistive robots, refinement of hidden cochlear implant, and exploration of drug deliver electrodes. These efforts aim to advance surgical methodologies toward enhanced minimally invasive approaches, functional preservation, and personalized therapeutic interventions.
Humans ; Cochlear Implantation/trends* ; Minimally Invasive Surgical Procedures/trends* ; Cochlear Implants

Surgical robots, leveraging a 10-fold magnified field of view, 3D visualization, and stable robotic arms, address the limitations of traditional 2D endoscopic surgery. They have been applied in multiple surgical fields, with remarkable potential in head and neck surgery. This article elaborates on their applications in surgeries for laryngeal cancer （supraglottic and glottic types）, pharyngeal tumors （oropharyngeal cancer, recurrent nasopharyngeal carcinoma, etc.）, thyroid tumors, and neck cysts. Combined with multi-center research data, it confirms the advantages of surgical robots in minimally invasive procedures and functional preservation. Additionally, the article looks ahead to the future applications of single-port robots, VR/AR, AI, domestically produced specialized robots, and 5G-enabled remote surgery. The development of robotic surgery is closely intertwined with advancements in science and technology, and it will undoubtedly drive the diagnosis and treatment of head and neck tumors into the "era of precise minimally invasive care".
Humans ; Robotic Surgical Procedures/trends* ; Head and Neck Neoplasms/surgery*

OBJECTIVES: To conduct a comprehensive analysis of the global burden of diarrheal diseases in children under 5 years. METHODS: The data from the Global Burden of Disease (GBD) 2021 were analyzed to assess the incidence, mortality rates and average annual percentage changes (AAPC) of diarrhea among children under 5 years across nations(regions) and GBD regions from 1990 to 2021 using joinpoint regression. Smoothed curve regression was employed to explore the correlation of diarrheal disease burden with the Social Development Index (SDI) and for analyzing the burden of specific diarrheal pathogens. The Slope and Concentration Indices quantified disparities across SDI levels and the future trend were projected by the Bayesian Age-Period-Cohort (BAPC) model. RESULTS: From 1990 to 2021, the global incidence (AAPC: -3.65) and mortality (AAPC: -5.15) rates of diarrheal diseases declined steadily in children below 5 years. In 2021, neonates (<28 days) were the most affected, with an incidence rate of 138 058.74 per 100 000 and a mortality rate of 251.14 per 100 000. Rotavirus was the leading cause of death. The incidence rate of diarrheal diseases was negatively correlated with SDI, and the Concentration Index decreased from -0.293 in 1990 to -0.314 in 2021 without a significant gender difference. The BAPC model suggested that the global incidence rate of diarrheal diseases tends to decrease progressively from 2022 to 2050, with a predicted rate of 23 448.04 per 100 000 for male and 29 932.59 per 100 000 for female by 2050. CONCLUSIONS Despite the reduction in the global burden of diarrhea and the projection of its further decline, diarrheal diseases disproportionately affect neonates and low-SDI regions. While rotavirus remains the primary etiological agent worldwide, the predominant pathogens vary by nations (regions) and GBD regions, and strengthened interventions targeting vulnerable populations are needed.
Humans ; Child, Preschool ; Diarrhea/mortality* ; Infant ; Incidence ; Infant, Newborn ; Global Burden of Disease/trends* ; Global Health ; Male ; Bayes Theorem ; Female

The Healthy China 2030 Plan set the goal of reducing premature deaths from diabetes by 30% by 2030. However, there has been a lack of assessment of premature mortality for diabetes since the action plan was issued. This study used data from the Global Burden of Disease Study 2021, calculated the premature deaths for diabetes by sex, provinces, and subtypes from 1990 to 2021. We explored the temporal trend of premature mortality using the average annual percent change (AAPC) for different sexes, provinces, and subtypes from 1990 to 2021. Furthermore, we predicted premature mortality for diabetes through 2030 for China and its provinces according to the average annual change rate from 2010 to 2021. There was a first slow upward trend in premature mortality for diabetes from 0.5% in 1990 to 0.6% in 2004, and then a decline until 2021 with premature mortality of 0.4%. By 2030, only Fujian (30.3%) will achieve the desired level of reduction, with only seven provinces meeting the target for females and none for males. There is a large range in the degree of decline between inland and coastal regions, showing obvious geographic differences, and there should be a focus on balancing medical resources.
Humans ; China/epidemiology* ; Female ; Male ; Mortality, Premature/trends* ; Diabetes Mellitus/mortality* ; Goals ; Middle Aged ; Adult