Diabetes of the exocrine pancreas(DEP) refers to a complication of diseases of the exocrine pancreas, associated with an increased risk of pancreatic cancer. Recent evidence has indicated that DEP, after type 2 diabetes, has become the second most common type of adults-onset diabetes, with a higher prevalence than type 1 diabetes. DEP is not a single condition but encompasses various exocrine pancreatic disorders that lead to hyperglycemia through different mechanisms, creating significant diagnostic and therapeutic challenges. This review examines the latest research on the risk factors and pathogenesis of DEP, aiming to provide insights to improve its clinical management strategies.

Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.

Diabetes of the exocrine pancreas(DEP) refers to a complication of diseases of the exocrine pancreas, associated with an increased risk of pancreatic cancer. Recent evidence has indicated that DEP, after type 2 diabetes, has become the second most common type of adults-onset diabetes, with a higher prevalence than type 1 diabetes. DEP is not a single condition but encompasses various exocrine pancreatic disorders that lead to hyperglycemia through different mechanisms, creating significant diagnostic and therapeutic challenges. This review examines the latest research on the risk factors and pathogenesis of DEP, aiming to provide insights to improve its clinical management strategies.

Objective:To analyze the prevalence trends and epidemiological characteristics of cardiometabolic multimorbidity(CMM) in Beijing from 2005 to 2022.Methods:A series of representative cross-sectional surveys were conducted in Beijing between 2005 and 2022 using a stratified multistage cluster random sampling method. A total of 110 496 permanent residents aged 18-79 years participated in face-to-face interviews, physical examinations, and laboratory testing. Complex sampling logistic regression models were employed to identify factors associated with CMM, and Joinpoint regression was used to assess temporal trends in prevalence. Results:The prevalence of CMM was 22.3% in 2005 and 24.3% in 2022, with an average annual percent change of 0.1%(95% CI -1.3%-1.3%, P>0.05). In rural areas, the prevalence increased by 1.3% per year(95% CI 0.2%-2.6%, P<0.05), while among obese individuals, it decreased by 1.0% annually( P<0.05). The most common CMM patterns were hypertension combined with dyslipidemia(13.2%), hypertension combined with diabetes(7.0%), and diabetes combined with dyslipidemia(5.8%). The prevalence of hypertension and dyslipidemia comorbidity showed a long-term decline among females, those aged 60-79 and obese individuals( P<0.05). In contrast, the prevalence of hypertension and diabetes comorbidity increased over time in rural residents and individuals with normal body weight( P<0.05). Furthermore, diabetes and dyslipidemia comorbidity rates increased significantly among males, adults aged 18-59 years, those with a college education or above, rural residents and individuals with normal body weight( P<0.05). Multivariable logistic regression indicated that male, older age, overweight, obese, and lower education level were independently associated with a higher risk of CMM( P<0.05). Conclusion:From 2005 to 2022, the prevalence of CMM remained high among adults in Beijing. While prevalence decreased among obese individuals, it increased significantly in rural areas. Hypertension combined with dyslipidemia was the most common multimorbidity pattern throughout the study period.

Objective:To explore the construction and application methods of multicenter bone tumor-specific database.Methods:Experts from multiple centers including Shanghai General Hospital, Shanghai Changzheng Hospital, Zhongshan Hospital, Shanghai Sixth People's Hospital, Ruijin Hospital, Fudan University Shanghai Cancer Center and Shanghai Ninth People's Hospital established a standard dataset for bone tumors through research and discussion. Clinical data will be automatically collected and standardized according to standard fields. A database will be built and a users' interface will be developed to ensure secure data storage, while providing services such as exporting raw data, visualizing statistical analysis, establishing clinical queue research projects, et al. Finally, the bone tumor database will be shared by integrating with the Shenkang's Big Data Platform to achieve multi-center data integration.Results:A standard data set for bone tumors containing 603 fields has been established and published. An automated data collection system for bone tumors has been established, including complete data collection, data collation and visualization functions. The data categories include modules such as patients' electronic case information, laboratory information on blood routine, biochemistry and tumor markers, imaging information, surgery information, pathology information and radiotherapy records. Personal information such as patients' names and ID numbers are desensitized and encrypted and can be exported for further research. From 2015 to 2023, the total number of bone tumor cases collected in the database was 10,789. From 2015 to 2019, 112 cases of the osteosarcoma cohort were retrospectively analyzed for admission, with a statistical 5-year survival rate of 68%.Conclusion:A regional bone tumor specialty big data network and data sharing platform has been established, along with data sharing mechanisms and standards including data standards, security standards, and quality evaluation standards. This provides data and efficient new solutions for the construction of China's bone tumor database, as well as a research and development platform for standardized diagnosis and treatment of bone tumors and new technologies.

Rats ; Animals ; Sciatic Neuropathy ; Muscle, Skeletal ; Sciatic Nerve/physiology* ; Sequence Analysis, RNA ; Nerve Regeneration/physiology*