[Purpose]To analyze the incidence and mortality of gastric cancer in Zhejiang cancer registration areas in 2021,and trends from 2000 to 2021.[Methods]The data of gastric cancer were obtained from Zhejiang cancer registration areas.The crude incidence/mortality rates,age-specific rates,and age-standardized incidence/mortality rates by Chinese standard population(ASRC)and the world standard population(ASRW)were calculated.The temporal trends were ana-lyzed by calculating annual percentage change(APC)and average annual percentage change(AAPC).[Results]A total of 7 602 new cases and 4 178 deaths of gastric cancer were reported in 2021.The incidence and mortality rates of gastric cancer in men were significantly higher than those in women;the incidence rate in urban areas was significantly higher than that in rural areas,while the mortality was slightly lower than that in rural areas.From 2000 to 2021,the ASRC of inci-dence rate decreased from 16.80/105 to 16.08/105(without statistical significance):an upward trend was observed from 2000 to 2009,whereas a downward trend became apparent from 2009 to 2021.From 2000 to 2021 the ASRC of mortality rate decreased from 13.59/105 to 8.02/105 with an AAPC of-2.62％(P＜0.001).The decline rate of female mortality rate(AAPC=-2.68％,95％CI:-3.61％～-1.68％,P＜0.001)was slightly higher than that of male(AAPC=-2.44％,95％CI:-3.06％～-1.61％,P＜0.001).[Conclusion]In 2021,both the incidence and mortality rates of gastric can-cer in Zhejiang Province were lower than the national average in China,which ranked 6th and 4th among all types of cancer.From 2000 to 2021,the overall burden of gastric cancer in Zhejiang Province showed a downward trend.

Objective To compare the gut fungal composition between gout patients and healthy individuals through high-throughput sequencing of ribosomal DNA internal transcribed spacer 1(ITS1).Methods Gout patients and healthy volunteers who visited our hospital from January 2023 to December 2024 were enrolled in this study.Then based on established medical guidelines,the gout patients were categorized into 3 groups:Group H(asymptomatic hyperuricemia,n=14),Group G(acute gouty arthritis,n=14),and Group I(intercritical period of gouty arthritis,n=15),and the healthy individuals were assigned into Group N(n=9).Fecal samples were collected from all the participants to undergo ITS1 sequencing analysis.The differences in diversity and composition of gut mycobiome,and FunGuild-derived fungal functions and nutritional status were compared among the 4 groups,and the correlation between the gut mycobiome and clinical indicators was analyzed.Results There were no significant differences in baseline features such as gender,age,glomerular filtration rate(GFR),and levels of serum creatinine(SCr)and serum urea among Group N and other gout groups,but obvious differences were observed in body mass index(BMI),erythrocyte sedimentation rate,and levels of C-reactive protein(CRP),serum uric acid(SUA),and IL-1β and IL-6(P<0.05).In terms of gut fungal diversity,ITS1 analysis showed there were no statistical differences in α-diversity or the principal coordinate analysis(PCoA)of β-diversity among the groups.However,as gout progressed,significant changes were observed in β-diversity indices,indicating a shift in the gut fungal community composition with disease advancement(P<0.05).The phyla Ascomycota,Basidiomycota,and Mucoromycotina were the dominant fungal phyla in all groups.Compared with the other 3 gout groups,the abundance of Pichia was significantly increased in Group N(P<0.05),that of Saccharomyces was in Group H(P<0.05),and that of Starmerella was in Group G(P<0.05).Correlation analysis between the gut mycobiome and clinical indices indicated that the relative abundance of Starmerella was significantly positively correlated with IL-1β(P<0.01)and IL-6(P<0.05).The relative abundance of Pichia was significantly positively correlated with IL-1β and IL-6 levels(P<0.05),and negatively correlated with serum urea level(P<0.05),and the relative abundance of Saccharomyces was negatively correlated with IL-1β and IL-6 levels(P<0.05).Conclusion There exist significant alterations in both the diversity and composition of gut fungi among patients with gout at various stages.Notably,the fluctuations in the relative abundance of Starmerella,Pichia and Saccharomyces appear to correlate with key clinical indicators.

Objective To assess the level of research integrity awareness among clinical nursing personnel in Yunnan Province,analyze the influencing factors,and identify related risks.Methods From June 2025 to July 2025,a research integrity awareness questionnaire was conducted on 697 clinical nursing personnel from a university-affiliated tumor hospital and children's hospital using the Questionnaire Star platform.The survey content included basic information,research integrity awareness status,research integrity construction awareness,and the causes of research misconduct.Data were analyzed using SPSS 27.0.Results The research integrity awareness score of clinical nursing personnel was(47.49±11.06),with an overall awareness rate of 51.48%.Univariate analysis showed statistically significant differences in awareness scores based on nursing categories(t=-2.45),marital status(F=5.557),age(F=2.735),work experience(F=4.775),highest education level(F=13.11),whether serving as a master's supervisor(t=2.693),participation in research projects(t=4.95),whether they had published papers as the first author or corresponding author(t=5.11),and attendance of research integrity training(t=12.48)(P<0.05).Multivariate linear regression analysis indicated that marital status,highest education level,and participation in research integrity training were significant factors influencing clinical nursing personnel's research integrity awareness(P<0.05).The main reason for research misconduct was lack of research integrity awareness The(76.47%),and 92.37%of clinical nursing personnel believed further strengthening of research integrity construction was necessary.Conclusion The research integrity awareness level of clinical nursing personnel needs improvement.Hospitals should enhance research integrity training,improve research integrity management systems,and optimize scientific talent evaluation mechanisms.

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

Purpose To develop a nomogram based on contrast-enhanced CT and habitat analysis for predicting early recurrence after thermal ablation in hepatocellular carcinoma,enabling risk stratification and personalized patient management.Materials and Methods This retrospective study included 107 patients with hepatocellular carcinoma treated with thermal ablation from Affiliated Hospital of North Sichuan Medical College and Nanchong Central Hospital from January 2016 to March 2022.Tumor lesions were manually segmented on preoperative contrast-enhanced CT images.Habitat encoding was performed on volumes of interest using K-means clustering.Radiomic features were extracted from each phase and habitat subregion.Machine learning algorithms were used to construct phase-specific models,with performance compared to select the optimal model.A combined model integrating optimal radiomic features and independent clinical risk factors was developed and evaluated.Results The Adaboost algorithm yielded the optimal model for the arterial phase,Naive Bayes for the venous phase,and MLP for the combined arterial-venous phase.The combined model demonstrated superior performance,achieving concordance indices of 0.711(training cohort)and 0.709(validation cohort)for predicting early recurrence.Significant differences in recurrence-free survival were observed between high-risk group and low-risk group(log-rank P<0.05).Conclusion Habitat imaging derived from contrast-enhanced CT effectively and noninvasively assesses recurrence-free survival after thermal ablation for hepatocellular carcinoma,demonstrating potential for guiding clinical treatment and decision-making.

Purpose To develop and validate a radiomics-clinical model that could accurately predict the recurrence of hepatocellular carcinoma(HCC)after undergoing tumor resection.Materials and Methods A total of 311 HCC patients underwent tumor resection in the Affiliated Hospital of North Sichuan Medical College from January 2015 to June 2022 were retrospectively collected,and they were randomly divided into a training cohort(n=217)and a validation cohort(n=94)in the ratio of 7∶3.Tumor and peritumoral 5 mm regions of interest were outlined on arterial and portal venous phase images and radiomics features were extracted to establish an arterio-portal radiomics model.Independent clinical risk factors associated with postoperative recurrence were explored by univariate and multivariate Cox analysis,then clinical model was established.A combined radiomics-clinical model was established by combining clinical independent risk factors and radiomics features.The area under the curve,specificity,sensitivity,net reclassification improvement and integrated discrimination improvement were used to assess the discrimination of all models.The calibration curve assessed the calibration of the model and decision curve analysis assessed the clinical utility of the model.Validation was performed by validation cohort data.Results The Rad-A5V5-clinical model had the best predictive performance for postoperative recurrence of HCC,the area under the curve,specificity and sensitivity of the validation cohort were 0.743(95%CI 0.640-0.846),0.647 and 0.717,respectively.The results of net reclassification improvement and integrated discrimination improvement showed that compared with clinical model and radiomics model,the prediction ability of Rad-A5V5-clinical model was improved the best one.The calibration curves showed that the predicted values of the Rad-A5V5-clinical model conformed the most favorably to the true values.The results of the decision curve analysis curve analyses showed that,among all models,the Rad-A5V5-clinical model would obtain the largest net benefit within a certain threshold range.Conclusion The predictive efficacy for post-tumor resection recurrence in HCC is significantly improved by incorporating tumor-peritumor radiomics features along with clinically independent risk factors.This finding offers a crucial reference point for identifying at-risk patients and tailoring individualized treatment plans.

[Purpose]To analyze the incidence and mortality of gastric cancer in Zhejiang cancer registration areas in 2021,and trends from 2000 to 2021.[Methods]The data of gastric cancer were obtained from Zhejiang cancer registration areas.The crude incidence/mortality rates,age-specific rates,and age-standardized incidence/mortality rates by Chinese standard population(ASRC)and the world standard population(ASRW)were calculated.The temporal trends were ana-lyzed by calculating annual percentage change(APC)and average annual percentage change(AAPC).[Results]A total of 7 602 new cases and 4 178 deaths of gastric cancer were reported in 2021.The incidence and mortality rates of gastric cancer in men were significantly higher than those in women;the incidence rate in urban areas was significantly higher than that in rural areas,while the mortality was slightly lower than that in rural areas.From 2000 to 2021,the ASRC of inci-dence rate decreased from 16.80/105 to 16.08/105(without statistical significance):an upward trend was observed from 2000 to 2009,whereas a downward trend became apparent from 2009 to 2021.From 2000 to 2021 the ASRC of mortality rate decreased from 13.59/105 to 8.02/105 with an AAPC of-2.62％(P＜0.001).The decline rate of female mortality rate(AAPC=-2.68％,95％CI:-3.61％～-1.68％,P＜0.001)was slightly higher than that of male(AAPC=-2.44％,95％CI:-3.06％～-1.61％,P＜0.001).[Conclusion]In 2021,both the incidence and mortality rates of gastric can-cer in Zhejiang Province were lower than the national average in China,which ranked 6th and 4th among all types of cancer.From 2000 to 2021,the overall burden of gastric cancer in Zhejiang Province showed a downward trend.

Purpose To develop and validate a radiomics-clinical model that could accurately predict the recurrence of hepatocellular carcinoma(HCC)after undergoing tumor resection.Materials and Methods A total of 311 HCC patients underwent tumor resection in the Affiliated Hospital of North Sichuan Medical College from January 2015 to June 2022 were retrospectively collected,and they were randomly divided into a training cohort(n=217)and a validation cohort(n=94)in the ratio of 7∶3.Tumor and peritumoral 5 mm regions of interest were outlined on arterial and portal venous phase images and radiomics features were extracted to establish an arterio-portal radiomics model.Independent clinical risk factors associated with postoperative recurrence were explored by univariate and multivariate Cox analysis,then clinical model was established.A combined radiomics-clinical model was established by combining clinical independent risk factors and radiomics features.The area under the curve,specificity,sensitivity,net reclassification improvement and integrated discrimination improvement were used to assess the discrimination of all models.The calibration curve assessed the calibration of the model and decision curve analysis assessed the clinical utility of the model.Validation was performed by validation cohort data.Results The Rad-A5V5-clinical model had the best predictive performance for postoperative recurrence of HCC,the area under the curve,specificity and sensitivity of the validation cohort were 0.743(95%CI 0.640-0.846),0.647 and 0.717,respectively.The results of net reclassification improvement and integrated discrimination improvement showed that compared with clinical model and radiomics model,the prediction ability of Rad-A5V5-clinical model was improved the best one.The calibration curves showed that the predicted values of the Rad-A5V5-clinical model conformed the most favorably to the true values.The results of the decision curve analysis curve analyses showed that,among all models,the Rad-A5V5-clinical model would obtain the largest net benefit within a certain threshold range.Conclusion The predictive efficacy for post-tumor resection recurrence in HCC is significantly improved by incorporating tumor-peritumor radiomics features along with clinically independent risk factors.This finding offers a crucial reference point for identifying at-risk patients and tailoring individualized treatment plans.

Objective To investigate the clinical features of chronic hepatitis C(CHC)patients with hepatitis C virus genotype 3(HCV GT3)infection and the risk factors for disease progression.Methods A multicenter retrospective cohort study was conducted among 1 002 CHC patients from 11 clinical centers in Northwest China from December 2017 to November 2023,and according to their genotype,they were divided into GT1,GT2,GT3,and GT6 groups.Clinical features were compared between the patients with different genotypes.The one-way analysis of variance was used for comparison of normally distributed continuous data between groups,and the Scheffe test was used for further comparison between two groups.The Kruskal-Wallis H test was used for comparison of data with skewed distribution between groups;the chi-square test or Fisher test was used for comparison of categorical data between groups.The multivariate logistic regression analysis was used to explore the influencing factors for the progression of CHC to liver cirrhosis.Results In terms of the genotype,there were 427 patients with GT1 infection,242 with GT2 infection,299 with GT3 infection(210 patients with GT3a infection,87 with GT3b infection,and 2 with unclassified genotype),and 34 with GT6 infection.The patients with GT3 infection had a significantly younger age than those with GT1 infection(51.3±0.5 years vs 53.2±0.6 years,P<0.05)or GT2 infection(51.3±0.5 years vs 53.7±0.8 years,P<0.05),and for the patients with liver cirrhosis,the patients with GT3 infection had a significantly younger age than those with GT1 infection(52.1±0.5 years vs 59.4±0.9 years,P<0.001)or GT2 infection(52.1±0.5 years vs 58.1±1.1 years,P<0.001).Among the patients with GT3 infection,male patients accounted for 77.9%and the patients with liver cirrhosis accounted for 46.2%,which were significantly higher than those among the patients with GT1,GT2 or GT6 infection(all P<0.001).At baseline,the patients with GT3 infection had significantly higher levels of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)than those with GT1 or GT2 infection,significantly higher aspartate aminotransferase-to-platelet ratio index(APRI)and fibrosis-4(FIB4)than those with GT1,GT2 or GT6 infection,a significantly lower platelet count(PLT)than those with GT2 or GT6 infection,a significantly higher level of alpha-fetoprotein than those with GT2 or GT6 infection,and a significantly lower level of albumin(Alb)than those with GT6 infection(all P<0.05).There were no significant differences between the patients with GT3a infection and those with GT3b infection in age,sex,the proportion of patients with liver cirrhosis,comorbidities,HCV RNA quantification,PLT,ALT,AST,alkaline phosphatase,Alb,APRI,and FIB-4(all P>0.05).The multivariate logistic regression analysis showed that PLT≤150×109/L(odds ratio[OR]=10.72,95%confidence interval[CI]:5.76-35.86,P<0.001)and Alb≤35 g/L(OR=3.74,95%CI:1.22-11.45,P=0.021)were risk factors for liver cirrhosis.Conclusion Most CHC patients with GT3 infection are male in Northwest China,and compared with the patients with other genotypes,such patients tend to have a younger age of onset and higher degrees of liver inflammation activity and fibrosis.Low PLT and a low level of Alb are risk factors for progression to liver cirrhosis in CHC patients with GT3 infection.

Purpose To develop a nomogram based on contrast-enhanced CT and habitat analysis for predicting early recurrence after thermal ablation in hepatocellular carcinoma,enabling risk stratification and personalized patient management.Materials and Methods This retrospective study included 107 patients with hepatocellular carcinoma treated with thermal ablation from Affiliated Hospital of North Sichuan Medical College and Nanchong Central Hospital from January 2016 to March 2022.Tumor lesions were manually segmented on preoperative contrast-enhanced CT images.Habitat encoding was performed on volumes of interest using K-means clustering.Radiomic features were extracted from each phase and habitat subregion.Machine learning algorithms were used to construct phase-specific models,with performance compared to select the optimal model.A combined model integrating optimal radiomic features and independent clinical risk factors was developed and evaluated.Results The Adaboost algorithm yielded the optimal model for the arterial phase,Naive Bayes for the venous phase,and MLP for the combined arterial-venous phase.The combined model demonstrated superior performance,achieving concordance indices of 0.711(training cohort)and 0.709(validation cohort)for predicting early recurrence.Significant differences in recurrence-free survival were observed between high-risk group and low-risk group(log-rank P<0.05).Conclusion Habitat imaging derived from contrast-enhanced CT effectively and noninvasively assesses recurrence-free survival after thermal ablation for hepatocellular carcinoma,demonstrating potential for guiding clinical treatment and decision-making.