Objective To investigate the impact of anti-reflux modified duodenal exclusion surgery on glucose metabolism in rats with type 2 diabetes mellitus (T2DM), and to elucidate the role of the duodenum in maintaining glucose homeostasis. MethodsForty male Sprague-Dawley rats aged 5 weeks were fed a high-fat diet and induced with T2DM using low-dose streptozotocin. Thirty-six rats that met the T2DM model criteria were randomly divided into three groups: the simple duodenal exclusion surgery group (DE group), the anti-reflux modified duodenal exclusion group (MDE group), and the sham operation group (SO group), with 12 rats in each group. Gastroenterography was performed 4 weeks after surgery, and the body weight, fasting blood glucose levels, and serum glucagon-like peptide-1 (GLP-1) concentrations were measured before surgery and at 1, 2, 4, and 8 weeks post-surgery. Eight weeks post-surgery, the rats were euthanized, and a 1 cm segment of the biliopancreatic loop was collected from each group for pathological sectioning and HE staining to observe the intestinal mucosal villus length under an optical microscope. Results Gastroenterography showed that there was significant reflux of the contrast agent into the duodenal lumen in the DE group, while no reflux was observed in the MDE group. At one week post-surgery, the body weights of rats in all three groups significantly decreased compared to before surgery (P<0.05), and then the body weights of all groups increased over time, with no significant differences between the groups (P>0.05). Compared with the SO group, the fasting blood glucose levels in the MDE and DE groups significantly decreased at all time points post-surgery (P<0.05), while GLP-1 concentrations significantly increased (P<0.05). The fasting blood glucose levels in the MDE group were lower than those in the DE group at all time points post-surgery (P<0.05), but there were no significant differences in serum GLP-1 concentrations between the MDE and DE groups (P>0.05). Regarding intestinal mucosal morphology, the villus lengths of the biliopancreatic loops in the MDE group were significantly shorter than those in the DE and SO groups (P<0.05). Conclusion Anti-reflux modified duodenal exclusion surgery effectively improves glucose metabolism in T2DM rats by preventing the reflux of chyme into the diverted duodenum, thereby enhancing its hypoglycemic effect.

Objective To explore the value of the prediction model based on diffusion weighted imaging(DWI)radiomic features and apparent diffusion coefficient(ADC)values in the assessment of p53 gene mutation status in endometrial cancer(EC).Methods The DWI data of 22 p53 wild-type and 60 p53 mutant EC patients were analyzed retrospectively.The DWI radiomic features of the primary lesions were extracted,and the ADC values were calculated.The prediction model was constructed based on support vector machine(SVM)algorithm.The area under the curve(AUC)of the receiver operating characteristic(ROC)curve was used to evaluate the performance of the prediction model.Internal validation was conducted using Bootstrap.Results The ADC value of p53 mutant EC was significantly lower than that of p53 wild-type EC(P=0.002).When comparing the ADC value and radiomics model,the combined ADC-radiomics model demonstrated the highest diagnostic efficacy,achieving an AUC of 0.924,sensitivity of 86.67％,and specificity of 90.91％.In Bootstrap-based validation,the combined ADC-radiomics model also showed high performance with an AUC of 0.904.The calibration curve and clinical decision curve analysis(DCA)showed that the combined ADC-radiomics model not only had better agreement between predicted and actual observed values but also provided better net benefits for the patients concerned.Conclusion The combined ADC-radiomics model achieved a more efficient assessment of p53 status in EC patients.

Purpose To explore the value of a prediction model based on diffusion weighted imaging(DWI)deep learning features in endometrial cancer microsatellite instability status assessment.Materials and Methods DWI data of 32 microsatellite instability and 55 microsatellite stability endometrial cancer patients were analysed from June 2020 to April 2023 in Xinxiang Central Hospital,retrospectively.Apparent diffusion coefficient(ADC)values of the primary lesions were measured,and deep learning features and imaging histological features of the primary lesions were extracted using multilayer convolutional neural networks and PyRadiomics,respectively.The least absolute shrinkage and selection operator and random forest were used for feature screening and model building,respectively.The area under the receiver operating characteristic curve(AUC)and net reclassification improvement were used to evaluate model performance.Bootstrap based on 1 000 resamples was used for internal validation of the model.Results For the deep learning model,a total of 6 features were included,the 7th,57th,77th,82nd,97th and 108th features,with an AUC of 0.905(95％CI 0.823-0.957);for the radiomics model,a total of 6 features were included,1 neighborhood grey level difference matrix,4 grey level region size matrices and 1 grey level tour length matrix feature,with an AUC was 0.844(95％CI 0.751-0.913);for ADC values,the microsatellite instability group had smaller ADC values than the microsatellite stability group(t=-4.123,P＜0.001),with an AUC of 0.810(95％CI 0.712-0.886).Compared with the radiomics model and ADC values,the deep learning model showed improved risk prediction,with net reclassification improvements of 0.856 and 0.486(P＜0.01,P=0.024),respectively.In Bootstrap-based internal validation,the deep learning model also demonstrated higher performance than the radiomics model,with AUCs of 0.897(95％CI0.889-0.905)and 0.829(95％CI0.812-0.839),respectively.Conclusion A prediction model based on deep learning features of DWI images can provide a better assessment of microsatellite instability status in endometrial cancer patients than radiomics model and ADC values.

Objective To investigate the value of endoscopic carbon nanoparticles labeling technique assisted in situ resection after neoadjuvant chemoradiotherapy(nCRT)for middle and low locally advanced rectal cancer(LARC).Methods From January 2020 to January 2023,46 cases of middle or low LARC were selected for endoscopic injection of carbon nanoparticles suspension to label the lower edge of the tumor before nCRT,and laparoscopic anterior resection of the rectum was performed after nCRT.The main observations were the visualization of carbon nanoparticles marker during the operation,the length of each area(primary tumor area,tumor regression scar,distal resection margin,and regression area of lower edge of tumor)of surgical specimens and the positive rate of distal resection margins.Results The median interval between injection of carbon nanoparticles suspension and surgery was 105(77-182)d in the46 cases.Carbon nanoparticles remnants were observed on the rectal mucosal surface in all the patients after nCRT by endoscopy.During laparoscopic anterior rectal resection surgeries,carbon nanoparticles marker exposure on the surface of the rectal intrinsic fascia observed in 41 cases(89.1%),of which38 cases were judged as good exposure(the width of marker area≤1.5 cm,which assisted the operator accurately determining the distal surgical margins)and 3 cases were judged as inferior exposure(a larger range of black staining whereas in situ resection of the tumor still achievable).In another 5 cases,the carbon nanoparticles marker could not be observed and were judged as exposure failure.Intraoperative cryopathology showed that all distal resection margins were negative.Measurement of 30 surgical specimens with identifiable primary tumor area showed that the length of resected intestinal canal was 17.9(10.1-25.7)cm,the diameter of primary tumor area was(4.3±0.8)cm,the diameter of scar after tumor regression was 2.5(0.8-4.8)cm,and the length of regression of tumor lower margin was 1.0(0-2.9)cm.The length of distal resection margins in middle rectal cancer(n =17)was3.4(1.5-4.3)cm and in low rectal cancer(n =13)was1.6(0.5-2.8)cm.Conclusion Application of carbon nanoparticles labeling technology before nCRT for rectal cancer can effectively mark the lower margin of the primary tumor in a long time and assist surgeons to precisely remove the primary tumor area.

ObjectiveTo evaluate the current situation of human resource allocation in district and county centers for disease control and prevention （CDCs） in Kashgar ， identify existing problems and influencing factors， and to provide scientific evidence for optimizing the human resource allocation. MethodsA survey was conducted among all CDCs in Kashgar in February 2022. The questionnaire included the institutional and individual questions. ResultsThe overall staff size approved for the CDCs in Kashgar was 604， with a staffing rate of 76.17%， among which the staffing rates in 5 county CDCs were less than 60%. Currently， there were a total of 524 approved staff members in all CDCs， resulting in a vacancy rate of 13.25%. In the district CDC， 85 staff members were on duty， while the median of staff on duty was 34 in each county CDC. The staff in the district CDC was ageing， of which those aged over 45 accounted for 67.06%. The staff in the county CDCs was generally young， of which those aged less than 35 accounted for 54.22%. Moreover， the proportion of staff with bachelor’s degree or above in the district and county CDCs was 31.76% and 24.95%， respectively. The proportion of staff without professional title was 32.94% and 48.03%， respectively. In contrast， the proportion of those with middle and senior professional title was 57.89% and 22.02%， respectively. In addition， in recent 3 years， 24 staff members resigned in the CDCs， all of whom had professional titles. ConclusionHuman resources are insufficient in CDCs in Kashgar. Furthermore， staff structure is unreasonable， with a serious loss of human resources. In particular， the district CDC needs to optimize the allocation of human resources.

OBJECTIVETo establish an emergency response capability assessment indexes for disease control and prevention institutions.

METHODSHealth emergency response capability assessment indexes of Shanghai Centers for Disease Control and Prevention(CDCs) was drafted based upon documentary analysis, expert consultation and focus group discussion according to duties and features of emergency work of CDCs. The assessment indexes were determined by applying Delphi method (18 experts), and the weights of indexes were determined using analytic hierarchy process and proportional distribution method. And then the established index system was used to assess the emergency response capability of CDCs in Shanghai.

RESULTSTwo rounds of expert consultations were conducted. Kendall's coefficient of concordance was 0.420 and 0.495 at the first and second round of expert consultations respectively. After two rounds of consultations, the expert authority score was above 0.7. There were 7 primary indexes, 24 secondary indexes and 84 third-level indexes. The seven primary indexes included emergency management system, emergency response team, surveillance and early-warning ability, emergency response capacity, emergent supply capability, communication and cooperation, scientific research and exchange, with systematic weights of 0.2123, 0.1754, 0.1334, 0.1916, 0.1281, 0.0962 and 0.0630,respectively. According to the investigation, Shanghai Municipal Center for Disease Control and Prevention ranked first in the total score of emergency response capability evaluation.

CONCLUSIONSThe indexes identified in this study have good reliability and feasibility, and can be used in assessment of emergency response capability in disease prevention and control institutions.

Objective:To investigate the effect of siRNA interfering survivin gene on proliferation of human tongue cancer Tca8113 cells,and clarify the effect of survivin Tca8113 cells biomechanism.Methods: The Tca8113 cells at logarithmic growth phase were selected and divided into interference group,negative control group,and blank control group.The relative levels of survivin mRNA and survivin protein expression of 3 groups were detected by RT-PCR and Western blot assay,the inhibitory rate of proliferation of Tca8113 cells was checked by MTT method,the apoptotic rate was assessed by flow cytometry(FCM),the the migration ability of Tca8113 cells were detected by Wound healing assay.Results: Compared with control group,the survivin mRNA and protein expression was markedly down-regulated in Tca8113 cells following RNA interference treatment(P<0.05),the cell proliferation were down-regulated in interference group(P<0.05),the cell apoptotic rate were up-regulated in interference group(P<0.05),the migration ability was significantly decreased in interference group(P<0.05).Conclusion: The expression of siRNA-survivin can significantly inhibit the invasion in tongue cancer Tca8113 cells,indicating it might be a potential biological therapeutic target for tongue cancer.

Objective: On the basis of typical cases, the objective of this study is to assess the service quality of primary healthcare institutions under the vertically integrated model from the perspective of demanding side.Methods: The vertical model between Renhe Hospital and Lixian Township Health Center was selected as the case study.Quantitative data were collected by exit review using Primary health-Care quality service Assessment Tool (PCAT)-Chinese version from the patients seeking services in Lixian.Quantitative data were analyzed by descriptive statistics and multiple linear regression equations while qualitative data were analyzed by thematic framework analysis.Results: Under the vertical model, the PCAT total score was 20.09.The scores on the first diagnosis, continuity of care, and comprehensiveness of care and coordination of care were 6.59, 3.27, 4.58 and 5.62 respectively.The scores on the three dimensional extensions, family-centered, community-oriented, medical culture were 3.07, 1.86 and 2.67 respectively.The difference was significant for the PCAT total score between a number of visits and the length of waiting time for services in Lixian.Conclusions: Under the vertical model, primary healthcare institutions did better in the first diagnosis while weaker in continuity and the three dimensional extensions.With the development of the integration, the primary healthcare institutions need to strengthen the continuity and downward referral in the future.Future researches and follow-up, analysis is needed to track the impact of the vertically integrated model.

In this paper , we discussed the financing mechanisms of premarital healthcare services from their properties combined with the status quo financing in our country .We then provided the scientific basis and decision-making reference for improving financing mechanism to improve the premarital healthcare system .A literature or doc-umentary and field researches have combed the present situation of the premarital healthcare services financing mech -anisms at home and abroad .Related data were collected in eight research areas , namely Fujian, Guangxi, Yunnan, Hubei, Jiangsu, Heilongjiang, Beijing and Tianjin and the related personnel from health administrative department , civil affairs departments , maternal and child healthcare institutions were interviewed in terms of Field Research .From the main content at present , premarital healthcare services belong to the category of quasi-public goods .We dis-cussed the financing mechanisms from the financing levels , sources of funds , fund allocation , payment and financial regulatory and other aspects .Finally, some policy recommendations were put forward including making clear the na-ture of premarital healthcare service property , establishment of a special financial investment mechanism , unify the basic financing service standard after scientific feasibility studies , timely and fully allocate special premarital health-care service funds to strengthen the fund supervision policy recommendations .

Objective:This article uses the Mitt-Horn Model to analyze the premarital healthcare policies imple-mentation, in order to seek viable path for the effective implementation .Methods: Eight provinces, namely Guangxi, Fujian, Yunnan, Jiangsu, Hubei, Heilongjiang, Tianjin and Beijing were chosen to carry out the field research .Relevant information and data were collected through interviews , questionnaires, site visits, etc., and all relate to the implementa-tion of a qualitative premarital analysis policy .Results:The research areas have refined the local premarital policy targets under the relevant legal framework , and have improved the policy implementation resources and execution environment . Conclusion:The premarital healthcare effects of measures implemented in the country based on the actual situation is good, but there are still some problems such as poor policy implementation with no in-depth sector, resource investment deficit in the policy , insufficient inter-department coordination and other issues affecting the policy implementation results .