Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Objective:To investigate the survival outcomes and prognostic factors in patients undergoing radical resection for pancreatic body and tail cancer.Methods:A retrospective case series study was conducted on 992 patients who underwent radical resection for pancreatic body and tail cancer at the Pancreatic Center of the First Affiliated Hospital of Nanjing Medical University from January 2016 to June 2024. In this study, 577 (58.2%) were male and 415 (41.8%) were female,with an age of (65±9) years (range: 26 to 86 years). Follow-up continued until June 2024. Survival rates were estimated using the Kaplan-Meier method,and prognostic factors were identified using univariate and multivariate Cox proportional hazards models.Results:Among 992 patients,open surgery was the predominant approach (89.1%, 884/992), and radical antegrade modular pancreatosplenectomy (RAMPS) was performed in 317 patients (32.0%). Combined organ resection,venous resection,and arterial resection were performed in 23.5%, 9.3%,and 11.2% of patients,respectively. The rates of R0, R1-1 mm, and R1-direct resections were 49.8% (494/992),41.5% (412/992), and 8.7% (86/992),respectively. Stage ⅡB was the most common TNM stage (32.2%,319/992). A total of 801 patients (80.8%) received adjuvant chemotherapy. The median follow-up period was 32.0(8.8) months(range:3.2 to 105.3 months),during which 508 patients (51.2%) died. The overall median survival (OS) was 26.4 months,with 1-,3-, and 5-year survival rates of 79.0%,40.0%, and 29.0%, respectively. In the recent five years (from 2020 to 2024), the median OS improved significantly to 34.1 months compared to 20.0 months from 2016 to 2019 ( P<0.01). Histological subtype analysis showed that the median OS time was 26.7 months for pancreatic ductal adenocarcinoma (PDAC, n=855),58.9 months for invasive intraductal papillary mucinous carcinoma (IPMC, n=32),and 15.7 months for adenosquamous carcinoma of pancreas (ASCP, n=73) ( P=0.001). Among PDAC patients, adjuvant chemotherapy significantly improved survival (29.1 months vs. 14.4 months, P<0.01);in IPMC patients, adjuvant chemotherapy also extended survival (65.7 months vs. 58.9 months, P=0.047). Although ASCP patients receiving chemotherapy had a longer median OS time than those without (18.8 months vs. 8.9 months),the difference was not statistically significant ( P=0.151). Multivariate Cox regression analysis in PDAC patients indicated that adjuvant chemotherapy, R0 resection, T stage,N stage,and tumor differentiation were independent prognostic factors ( P<0.01). The median OS time by TNM stage was:not reached for stage ⅠA, 51.6 months for ⅠB, 25.5 months for ⅡA, 23.7 months for ⅡB, 23.0 months for Ⅲ, and 14.4 months for Ⅳ. The median OS time for R0,R1-1 mm,and R1-direct resections was 34.1,24.7,and 15.7 months,respectively ( P<0.01). Conclusion:Adjuvant chemotherapy,R0 resection,tumor stage,and differentiation are independent prognostic factors for pancreatic body and tail cancer.

Hepatitis B virus（HBV）infection poses a significant global health burden，with chronic infection driving progression to cirrhosis，hepatic failure，and hepatocellular carcinoma（HCC）. Mounting evidence implicates immune dysfunction and microbiota dysbiosis as core drivers of disease progression across all HBV infection stages. Gut and tissue-specific microbiota alterations disrupt innate/adaptive immunity，fueling inflammation，immunosuppression，and tumor immune evasion in chronic and end-stage disease. This review synthesizes mechanisms of immune-microbiota interplay in HBV pathogenesis and explores their translational potential for diagnostics and targeted interventions，including microbiota modulation and microbial biomarker applications.

Objective:To analyze the clinical characteristics of the Chikungunya fever outbreak in Shunde District, Foshan City, Guangdong Province in July 2025 and the risk factors associated with delayed viral RNA clearance.Methods:A total of 562 patients with Chikungunya fever admitted to three designated hospitals in Shunde District from July 10 to 30, 2025 were enrolled. Demographic data, clinical manifestations, and laboratory findings were collected. Patients were categorized into four age groups including minors (<18 years), young adults (18 to 39 years), middle-aged adults (40 to 64 years) and elderly adults (≥65 years). The differences of clinical characteristics among these age groups were analyzed. Intergroup comparisons were performed using chi-square test, one-way analysis of variance, or Kruskal-Wallis H test. Pairwise comparisons between groups were conducted using the Bonferroni or Games-Howell or Dunn method. Binary logistic regression was employed to analyze risk factors associated with delayed viral RNA clearance (>7 days). Results:The mean age of the 562 enrolled Chikungunya fever patients was (44.8±21.3) years. Fever, arthralgia and rash were the three core symptoms, with incidence rates of 87.5% (492/562), 88.4%(497/562) and 69.6%(391/562), respectively. At discharge, only 54.1%(304/562) of patients achieved complete symptom resolution, while 26.5%(149/562) still had arthralgia and 36.1%(203/562) had residual rash. Significant differences were observed among age groups in the incidence of fever ( χ2=9.43, P=0.024), peak body temperature ( F=6.54, P<0.001), incidence of arthralgia ( χ2=26.89, P<0.001), duration of arthralgia ( F=12.68, P=0.001), incidence of rash ( χ2=68.99, P<0.001), rate of residual rash at discharge ( χ2=32.37, P<0.001), lymphocyte count ( F=12.94, P<0.001), platelet count ( F=14.95, P<0.001), and C-reactive protein levels (CRP) ( H=94.18, P<0.001). Further pairwise comparisons revealed that compared to the middle-aged and elderly groups, the minor group had a higher incidence of fever and a lower incidence of arthralgia, and the duration of arthralgia was shorter than the elderly group (all P<0.008 3). Compared with the other three groups, the elderly group had lower incidence and residual rate of rash, and lower platelet counts (all P<0.008 3), and higher levels of CRP (all P<0.05). The elderly group had lower lymphocyte counts compared to the minor and young adult groups (both P<0.05). Significant differences were found among age groups in the time to viral RNA clearance ( F=5.77, P=0.003) and length of hospital stay ( F=11.64, P<0.001), with the elderly group having significantly longer duration for both compared to the other three groups (all P<0.05). Multivariate analysis showed that advanced age (odds ratio ( OR)=1.049, 95% confidence interval ( CI) 1.015 to 1.083), longer duration of fever ( OR=1.529, 95% CI 1.086 to 2.155) and longer duration of arthralgia ( OR=1.927, 95% CI 1.318 to 2.817) were independent risk factors for delayed viral RNA clearance (all P<0.05). Conclusions:Patients with Chikungunya fever in Shunde District primarily present with fever, arthralgia and rash. The incidence and characteristics of these three core symptoms show age-related variations. Elderly patients and those with longer durations of fever or arthralgia are more likely to experience delayed viral clearance.

There is controversy over the specific and non-specific components in the efficacy evaluation of acupuncture therapy.The placebo effect,as a key non-specific factor,needs to be clarified in terms of its mechanism and clinical value.This article reviewed the research progress in the placebo effect of acupuncture from three aspects:cognitive process,influencing factors,and mechanism.It focused on the regulatory effects of patient expectations,doctor-patient interaction,and individual differences on the effect,summarized key mechanisms such as endogenous opioid system,dopamine reward pathway,and neural projection of rostral anterior cingulate cortex to pontine nucleus,and pointed out the methodological limitations of current comfort acupuncture designs,in order to provide theoretical basis for the optimization of acupuncture clinical research models and the deepening of the effect mechanism.

Objective:To construct an intelligent evaluation model based on the grey whitening weight cluster algorithm for risk in supply chain of medical consumables,and explore its application value in the management for medical consumables.Methods:The risk source of supply chain of medical consumables under the supply-processing-distribution(SPD)mode was analyzed,and the problems in the management for supply chain were evaluated by using grey whitening weight cluster,and an intelligent evaluation model for risk in supply chain of medical consumables was constructed to conduct control and management for risk in supply chain of medical consumables.A total of 10.61 million pieces of 400 types of medical consumables that were purchased and used by the National Center for Children's Health,China,Beijing Children's Hospital,Capital Medical University from 2022 to 2023 were selected.In them,the 5.15 million pieces of 200 types of medical consumables that were purchased and used during January and December 2022 were controlled and managed for risk through the management mode of assessment and prediction with experts.The 5.46 million pieces of 200 types of medical consumables that were purchased and used during January and December 2023 were controlled and managed for risk through used the intelligent evaluation model based on the gray whitening weight cluster algorithm under the SPD mode in supply chain of medical consumables for risk(prediction management mode with evaluation model).The incidences of risk,and the accuracy of data in supply chain between the two management modes were compared.A self-made satisfaction questionnaire was used to investigate the satisfaction rates of medical staffs,medical technicians,managers of department,and keepers of warehouse regarding to the supply of medical consumables.Results:The incidence rates of risks in suppliers,inventory,finance,technical support and information security of supply chain were respectively 1.8%,2.2%,0.4%,1.5%and 3.1%by adopting prediction management mode with evaluation model in 100,000 randomly inspected cases of medical consumables,all of which were lower than those of the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=9.239,23.013,11.706,21.141,42.331,P<0.05).The accuracy rates of supply data of spot check for the consumables of auxiliary examination,the nursing consumables in ward,the consumables of surgical treatment,the consumables of oral treatment and other disposable consumables of prediction management mode with evaluation model were all higher than those of the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=11.628,15.842,7.790,7.289,7.448,P<0.05).The satisfaction rates of medical staffs,medical technicians,managers of department and keepers of warehouse for clinical supply of medical consumables in prediction management mode with evaluation model were all higher than those in the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=4.824,5.703,5.529,5.143,P<0.05).Conclusion:The intelligent evaluation model based on the grey whitening weight cluster algorithm under the SPD mode for risk in supply chain of medical consumables can reduce the incidence rate of risk in the supply chain of medical consumables,and improve the accuracy of supply data of medical consumables,and enhance the satisfaction of staffs in hospital.

Objective:To construct an intelligent evaluation model based on the grey whitening weight cluster algorithm for risk in supply chain of medical consumables,and explore its application value in the management for medical consumables.Methods:The risk source of supply chain of medical consumables under the supply-processing-distribution(SPD)mode was analyzed,and the problems in the management for supply chain were evaluated by using grey whitening weight cluster,and an intelligent evaluation model for risk in supply chain of medical consumables was constructed to conduct control and management for risk in supply chain of medical consumables.A total of 10.61 million pieces of 400 types of medical consumables that were purchased and used by the National Center for Children's Health,China,Beijing Children's Hospital,Capital Medical University from 2022 to 2023 were selected.In them,the 5.15 million pieces of 200 types of medical consumables that were purchased and used during January and December 2022 were controlled and managed for risk through the management mode of assessment and prediction with experts.The 5.46 million pieces of 200 types of medical consumables that were purchased and used during January and December 2023 were controlled and managed for risk through used the intelligent evaluation model based on the gray whitening weight cluster algorithm under the SPD mode in supply chain of medical consumables for risk(prediction management mode with evaluation model).The incidences of risk,and the accuracy of data in supply chain between the two management modes were compared.A self-made satisfaction questionnaire was used to investigate the satisfaction rates of medical staffs,medical technicians,managers of department,and keepers of warehouse regarding to the supply of medical consumables.Results:The incidence rates of risks in suppliers,inventory,finance,technical support and information security of supply chain were respectively 1.8%,2.2%,0.4%,1.5%and 3.1%by adopting prediction management mode with evaluation model in 100,000 randomly inspected cases of medical consumables,all of which were lower than those of the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=9.239,23.013,11.706,21.141,42.331,P<0.05).The accuracy rates of supply data of spot check for the consumables of auxiliary examination,the nursing consumables in ward,the consumables of surgical treatment,the consumables of oral treatment and other disposable consumables of prediction management mode with evaluation model were all higher than those of the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=11.628,15.842,7.790,7.289,7.448,P<0.05).The satisfaction rates of medical staffs,medical technicians,managers of department and keepers of warehouse for clinical supply of medical consumables in prediction management mode with evaluation model were all higher than those in the management mode of assessment and prediction with experts,and the differences were statistically significant(x2=4.824,5.703,5.529,5.143,P<0.05).Conclusion:The intelligent evaluation model based on the grey whitening weight cluster algorithm under the SPD mode for risk in supply chain of medical consumables can reduce the incidence rate of risk in the supply chain of medical consumables,and improve the accuracy of supply data of medical consumables,and enhance the satisfaction of staffs in hospital.

There is controversy over the specific and non-specific components in the efficacy evaluation of acupuncture therapy.The placebo effect,as a key non-specific factor,needs to be clarified in terms of its mechanism and clinical value.This article reviewed the research progress in the placebo effect of acupuncture from three aspects:cognitive process,influencing factors,and mechanism.It focused on the regulatory effects of patient expectations,doctor-patient interaction,and individual differences on the effect,summarized key mechanisms such as endogenous opioid system,dopamine reward pathway,and neural projection of rostral anterior cingulate cortex to pontine nucleus,and pointed out the methodological limitations of current comfort acupuncture designs,in order to provide theoretical basis for the optimization of acupuncture clinical research models and the deepening of the effect mechanism.

Objective:To analyze the clinical characteristics of the Chikungunya fever outbreak in Shunde District, Foshan City, Guangdong Province in July 2025 and the risk factors associated with delayed viral RNA clearance.Methods:A total of 562 patients with Chikungunya fever admitted to three designated hospitals in Shunde District from July 10 to 30, 2025 were enrolled. Demographic data, clinical manifestations, and laboratory findings were collected. Patients were categorized into four age groups including minors (<18 years), young adults (18 to 39 years), middle-aged adults (40 to 64 years) and elderly adults (≥65 years). The differences of clinical characteristics among these age groups were analyzed. Intergroup comparisons were performed using chi-square test, one-way analysis of variance, or Kruskal-Wallis H test. Pairwise comparisons between groups were conducted using the Bonferroni or Games-Howell or Dunn method. Binary logistic regression was employed to analyze risk factors associated with delayed viral RNA clearance (>7 days). Results:The mean age of the 562 enrolled Chikungunya fever patients was (44.8±21.3) years. Fever, arthralgia and rash were the three core symptoms, with incidence rates of 87.5% (492/562), 88.4%(497/562) and 69.6%(391/562), respectively. At discharge, only 54.1%(304/562) of patients achieved complete symptom resolution, while 26.5%(149/562) still had arthralgia and 36.1%(203/562) had residual rash. Significant differences were observed among age groups in the incidence of fever ( χ2=9.43, P=0.024), peak body temperature ( F=6.54, P<0.001), incidence of arthralgia ( χ2=26.89, P<0.001), duration of arthralgia ( F=12.68, P=0.001), incidence of rash ( χ2=68.99, P<0.001), rate of residual rash at discharge ( χ2=32.37, P<0.001), lymphocyte count ( F=12.94, P<0.001), platelet count ( F=14.95, P<0.001), and C-reactive protein levels (CRP) ( H=94.18, P<0.001). Further pairwise comparisons revealed that compared to the middle-aged and elderly groups, the minor group had a higher incidence of fever and a lower incidence of arthralgia, and the duration of arthralgia was shorter than the elderly group (all P<0.008 3). Compared with the other three groups, the elderly group had lower incidence and residual rate of rash, and lower platelet counts (all P<0.008 3), and higher levels of CRP (all P<0.05). The elderly group had lower lymphocyte counts compared to the minor and young adult groups (both P<0.05). Significant differences were found among age groups in the time to viral RNA clearance ( F=5.77, P=0.003) and length of hospital stay ( F=11.64, P<0.001), with the elderly group having significantly longer duration for both compared to the other three groups (all P<0.05). Multivariate analysis showed that advanced age (odds ratio ( OR)=1.049, 95% confidence interval ( CI) 1.015 to 1.083), longer duration of fever ( OR=1.529, 95% CI 1.086 to 2.155) and longer duration of arthralgia ( OR=1.927, 95% CI 1.318 to 2.817) were independent risk factors for delayed viral RNA clearance (all P<0.05). Conclusions:Patients with Chikungunya fever in Shunde District primarily present with fever, arthralgia and rash. The incidence and characteristics of these three core symptoms show age-related variations. Elderly patients and those with longer durations of fever or arthralgia are more likely to experience delayed viral clearance.

Hepatitis B virus（HBV）infection poses a significant global health burden，with chronic infection driving progression to cirrhosis，hepatic failure，and hepatocellular carcinoma（HCC）. Mounting evidence implicates immune dysfunction and microbiota dysbiosis as core drivers of disease progression across all HBV infection stages. Gut and tissue-specific microbiota alterations disrupt innate/adaptive immunity，fueling inflammation，immunosuppression，and tumor immune evasion in chronic and end-stage disease. This review synthesizes mechanisms of immune-microbiota interplay in HBV pathogenesis and explores their translational potential for diagnostics and targeted interventions，including microbiota modulation and microbial biomarker applications.