By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

Objective To describe and analyze the current status,changing trend and influencing factors of the disease burden of cervical,endometrial and ovarian cancer in China from 1990 to 2021.Methods Data on incidence,mortality,disability-adjusted life year(DALY),and other indicators for cervical,endometrial and ovarian cancer were collected from the 2021 Global Burden of Disease database.Joinpoint regression models were used to analyze time trends,and age-period-cohort(APC)models assessed their impact on incidence and mortality.Spearman correlation analysis was performed to evaluate the relationship between the sociodemographic index(SDI)and the cancer indicators.Finally,the attributable risk factors for the disease burden were analyzed.Results From 1990 to 2021,age-standardized incidence rates of cervical and endometrial cancers in China significantly increased,while ovarian cancer showed no significant change.Age-standardized mortality,DALY,and years of life lost due to premature death(YLL)decreased significantly.The disease burden was heavier in middle-aged and older groups.APC model indicated an increase in cervical cancer incidence and a decrease in mortality over time.Furthermore,the incidence risks of cervical and endometrial cancers were elevated in successive birth cohorts,whereas a lower risk was observed for ovarian cancer.Correlation analysis showed significant associations between cancer incidence and mortality with SDI.Obesity has significantly contributed to the disease burden of common gynecologic cancers in China.Conclusion Mortality rates of cervical,endometrial and ovarian cancer have declined,while the incidence of cervical and endometrial cancers has significantly increased.The trends in incidence and mortality are influenced by age,period and cohort effects.Future efforts should focus on controlling risk factors like obesity to reduce the disease burden.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:This study aimed to explore the mediating effect of resourcefulness between frailty and self-manage-ment efficacy in patients with chronic heart failure(CHF).Methods:A survey was conducted on CHF patients who ad-mitted in Department of Cardiology,Central Hospital Affiliated to Shandong First Medical University between May 2022 and March 2024 using the general formation questionnaire,Tilburg weakness assessment scale,Resourcefulness Scale(RS)and Self-Efficacy for Managing Chronic Disease 6-item scale(SEMCD6).Results:Age,employment,marriage,ACC/AHA cardiac function classification,exercise frequency,and comorbid chronic diseases affected the level of frailty in pa-tients;Employed or not affected the patient's resourcefulness level(P＜0.05 or＜0.01).Multivariate linear regression and Spearman correlation analysis showed that frailty was direct negative predictive effect(β=-1.029,P=0.019)and in-versely correlated(r=-0.155,P=0.016)with self-management efficacy;resourcefulness was direct positive predictive effect(β=0.150,P＜0.001)and positively correlated(r=0.336,P＜0.001)with it.Resourcefulness played a partial mediating effect between frailty and self-management efficacy(21.93％).Conclusion:Resourcefulness level plays a par-tial mediating role between frailty and self-management efficacy in patients with chronic heart failure.Medical staff should pay attention to early screening and intervention of resourcefulness level.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:This study aimed to explore the mediating effect of resourcefulness between frailty and self-manage-ment efficacy in patients with chronic heart failure(CHF).Methods:A survey was conducted on CHF patients who ad-mitted in Department of Cardiology,Central Hospital Affiliated to Shandong First Medical University between May 2022 and March 2024 using the general formation questionnaire,Tilburg weakness assessment scale,Resourcefulness Scale(RS)and Self-Efficacy for Managing Chronic Disease 6-item scale(SEMCD6).Results:Age,employment,marriage,ACC/AHA cardiac function classification,exercise frequency,and comorbid chronic diseases affected the level of frailty in pa-tients;Employed or not affected the patient's resourcefulness level(P＜0.05 or＜0.01).Multivariate linear regression and Spearman correlation analysis showed that frailty was direct negative predictive effect(β=-1.029,P=0.019)and in-versely correlated(r=-0.155,P=0.016)with self-management efficacy;resourcefulness was direct positive predictive effect(β=0.150,P＜0.001)and positively correlated(r=0.336,P＜0.001)with it.Resourcefulness played a partial mediating effect between frailty and self-management efficacy(21.93％).Conclusion:Resourcefulness level plays a par-tial mediating role between frailty and self-management efficacy in patients with chronic heart failure.Medical staff should pay attention to early screening and intervention of resourcefulness level.

Objective To describe and analyze the current status,changing trend and influencing factors of the disease burden of cervical,endometrial and ovarian cancer in China from 1990 to 2021.Methods Data on incidence,mortality,disability-adjusted life year(DALY),and other indicators for cervical,endometrial and ovarian cancer were collected from the 2021 Global Burden of Disease database.Joinpoint regression models were used to analyze time trends,and age-period-cohort(APC)models assessed their impact on incidence and mortality.Spearman correlation analysis was performed to evaluate the relationship between the sociodemographic index(SDI)and the cancer indicators.Finally,the attributable risk factors for the disease burden were analyzed.Results From 1990 to 2021,age-standardized incidence rates of cervical and endometrial cancers in China significantly increased,while ovarian cancer showed no significant change.Age-standardized mortality,DALY,and years of life lost due to premature death(YLL)decreased significantly.The disease burden was heavier in middle-aged and older groups.APC model indicated an increase in cervical cancer incidence and a decrease in mortality over time.Furthermore,the incidence risks of cervical and endometrial cancers were elevated in successive birth cohorts,whereas a lower risk was observed for ovarian cancer.Correlation analysis showed significant associations between cancer incidence and mortality with SDI.Obesity has significantly contributed to the disease burden of common gynecologic cancers in China.Conclusion Mortality rates of cervical,endometrial and ovarian cancer have declined,while the incidence of cervical and endometrial cancers has significantly increased.The trends in incidence and mortality are influenced by age,period and cohort effects.Future efforts should focus on controlling risk factors like obesity to reduce the disease burden.

Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R² of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy ; Child ; Humans ; Female ; Glycated Hemoglobin ; Cohort Studies ; Diabetes Mellitus/diagnosis* ; Sensitivity and Specificity ; ROC Curve

Objective: To explore the efficacy and safety of endoscopic diaphragm incision in pediatric congenital duodenal diaphragm. Methods: Eight children with duodenal diaphragm treated by endoscopic diaphragm incision in the Department of Gastroenterology of Guangzhou Women and Children's Medical Center from October 2019 to May 2022 were enrolled in this study. Their clinical data including general conditions, clinical manifestations, laboratory and imaging examinations, endoscopic procedures and outcomes were retrospectively analyzed. Results: Among the 8 children, 4 were males and 4 females. The diagnosis was confirmed at the age of 6-20 months; the age of onset was 0-12 months and the course of disease was 6-18 months. The main clinical manifestations were recurrent non-biliary vomiting, abdominal distension and malnutrition. One case complicated with refractory hyponatremia was first diagnosed with atypical congenital adrenal hyperplasia in the endocrinology department. After treatment with hydrocortisone, the blood sodium returned to normal, but vomiting was recurrent. One patient underwent laparoscopic rhomboid duodenal anastomosis in another hospital but had recurred vomiting after the operation, who was diagnosed with double duodenal diaphragm under endoscope. No other malformations were found in all the 8 cases. The duodenal diaphragm was located in the descending part of the duodenum, and the duodenal papilla was located below the diaphragm in all the 8 cases. Three cases had the diaphragm dilated by balloon to explore the diaphragm opening range before diaphragm incision; the other 5 had diaphragm incision performed after probing the diaphragm opening with guide wire. All the 8 cases were successfully treated by endoscopic incision of duodenal diaphragm, with the operation time of 12-30 minutes. There were no complications such as intestinal perforation, active bleeding or duodenal papilla injury. At one month of follow-up, their weight increased by 0.4-1.5 kg, with an increase of 5%-20%. Within the postoperative follow-up period of 2-20 months, all the 8 children had duodenal obstruction relieved, without vomiting or abdominal distension, and all resumed normal feeding. Gastroscopy reviewed at 2-3 months after the operation in 3 cases found no deformation of the duodenal bulbar cavity, and the mucosa of the incision was smooth, with a duodenal diameter of 6-7 mm. Conclusion: Endoscopic diaphragm incision is safe, effective and less invasive in pediatric congenital duodenal diaphragm, with favorable clinical applicability.
Male ; Child ; Female ; Humans ; Infant ; Infant, Newborn ; Retrospective Studies ; Thorax ; Endoscopy ; Physical Examination ; Adrenal Hyperplasia, Congenital

Humans ; Esophageal Achalasia/genetics* ; Cardia ; Nerve Tissue Proteins ; Nuclear Pore Complex Proteins