1.A case report of renal metastasis by oral adenoid cystic carcinoma
Yihao ZHU ; Huaqi YIN ; Yabo ZHAI ; Wenkuan WANG ; Xuwen LI ; Feiya YANG ; Nianzeng XING ; Xiongjun YE
Chinese Journal of Urology 2025;46(2):145-146
Renal metastasis of oral adenoid cystic carcinoma is rare. A patient with bilateral renal metastasis secondary to surgery for oral adenoid cystic carcinoma was reported. The left kidney was treated with radiofrequency ablation, and the right kidney was treated with radical nephrectomy. The creatinine was 74 μmol/L at 3 months after surgery. The multidisciplinary comprehensive diagnosis and treatment model adopted in this case provided diagnosis and treatment ideas for patients with bilateral renal secondary malignant tumors.
2.Visual analysis of the application of wearable devices in nursing care both domestically and internationally
Qing DONG ; Shujun XING ; Xianghuan LI ; Jing ZHAI ; Xinyu WANG ; Jiaqi LIU ; Jinlan LI ; Xiaoru GAO ; Yu TANG
China Modern Doctor 2025;63(30):1-4,68
Objective To analyze the research status,hotspots,and trends of wearable devices in nursing applications both domestically and internationally.Methods Using China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,and Embase core databases as data sources,VOSviewer was used to visualize and analyze the publication time,keywords,and other relevant literature.Results Total of 428 articles were included,including 196 Chinese articles and 232 English articles.The overall publication volume showed an upward trend.Domestic research focuses on chronic diseases,artificial intelligence,and nursing,with the main research subjects being the elderly;Foreign research focuses on smart devices,self-monitoring,and quality of life,with the main research subjects being adults.Conclusion Currently,the number of publications on the application of wearable devices in nursing is relatively small,but the overall research heat is on the rise,mainly used for chronic diseases and self-monitoring.In the future,the application scope of wearable devices should be expanded and their potential value should be explored to promote the innovation and progress of nursing models.
3.Clinicopathological features and surgery-related outcomes of duodenal adenocarcinoma: a multicenter retrospective study
Qifeng XIAO ; Xin WU ; Chunhui YUAN ; Zongting GU ; Xiaolong TANG ; Fanbin MENG ; Dong WANG ; Ren LANG ; Gang ZHAI ; Xiaodong TIAN ; Yu ZHANG ; Enhong ZHAO ; Xiaodong ZHAO ; Feng CAO ; Jingyong XU ; Ying XING ; Jishu WEI ; Shanmiao GOU ; Chengfeng WANG ; Jianwei ZHANG
Chinese Journal of Oncology 2025;47(10):1026-1038
Objective:This multicenter retrospective study aimed to analyze the clinicopathological features of duodenal adenocarcinoma (DA) and identify prognostic factors for postoperative survival.Methods:Demographic characteristics, clinicopathological features, treatment outcomes and survival of DA patients undergoing surgical treatment at 18 Chinese medical centers from January 2012 to December 2023 were retrospectively analyzed.Results:Among the 2 056 DA patients included, 46.8% (963) had extra-ampullary DA (EA-DA), and 53.2% (1 093) had peri-ampullary DA (PA-DA). The 1-, 3-, and 5-year overall survival (OS) rates for patients who underwent radical surgery were 93.2%, 71.0%, and 57.2%, respectively. The median overall survival was 76 months, and the median progression-free survival (PFS) was 65 months. No differences in survival were observed between the laparotomy group and minimally invasive surgery (MIS) group either before or after propensity score matching (OS: 76 vs. 75 months before PSM, P=0.986; OS: 75 vs. 75 months after PSM, P=0.602). Furthermore, there were no significant differences between-group in operation time and postoperative complications ( P>0.05). The MIS group experienced less intraoperative blood loss and shorter hospital stays. The multivariate Cox regression analysis revealed that advanced age ( HR=1.43,95% CI:1.18-1.73), elevated carbohydrate antigen 19-9 levels ( HR=1.24,95% CI:1.02-1.51), perineural invasion ( HR=1.44,95% CI:1.14-1.81), vascular invasion ( HR=1.35,95% CI:1.07-1.71), advanced T stage (T3-4 vs. T1-2: HR=1.86,95% CI:1.49-2.31), regional lymph node metastasis ( HR=1.93,95% CI:1.58-2.36), preoperative biliary drainage ( HR=1.26,95% CI:1.04-1.53), intraoperative blood loss ( HR=1.34,95% CI:1.11-1.62), clinically significant postoperative pancreatic fistulas ( HR=1.53,95% CI:1.12-2.09), and postoperative hemorrhage ( HR=1.62,95% CI:1.14-2.29) were independent risk factors for poor prognosis after surgery (all P<0.05). Conclusions:Radical surgery is associated with favorable overall survival among DA patients, and no difference in survival is observed between EA-DA and PA-DA patients. MIS is a reliable alternative for DA treatment.
4.Role of Complement in the Development of Hypertensive Nephropathy
Zhongli WANG ; Tingting ZHANG ; Xing WANG ; Jianlong ZHAI ; Lili HE ; Qingjuan ZUO ; Sai MA ; Guorui ZHANG ; Yifang GUO
Chinese Circulation Journal 2025;40(3):308-312
Immunoinflammation mediates the development of hypertensive nephropathy,and aberrant activation of the complement system,an important component of the innate immune system,plays an important role in the development of hypertensive nephropathy.Complement inhibition is expected to be a potential strategy for the treatment of hypertensive nephropathy.In this article,we summarized and reviewed relevant studies on the complement system in the development of hypertensive nephropathy,and complement-targeted drug therapy,aiming to provide new ideas for clinicians on the clinical diagnosis and treatment of hypertensive nephropathy.
5.Prediction of cumulative live birth rate in in vitro fertilization using multi-model machine learning algorithms
Peng XING ; Hui LIANG ; Ying CHEN ; Ting LIU ; Jiawei ZHAI ; Bo YUAN ; Yingjun TIAN
Chinese Journal of Reproduction and Contraception 2025;45(4):358-364
Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.
6.Prediction of cumulative live birth rate in in vitro fertilization using multi-model machine learning algorithms
Peng XING ; Hui LIANG ; Ying CHEN ; Ting LIU ; Jiawei ZHAI ; Bo YUAN ; Yingjun TIAN
Chinese Journal of Reproduction and Contraception 2025;45(4):358-364
Objective:To develop and validate machine learning models for predicting the cumulative live birth rate (CLBR) following in vitro fertilization (IVF) and to analyze key predictive features using SHAP values. Methods:This retrospective study included data from patients who underwent IVF-embryo transfer at the Department of Reproductive Medicine, Baoding Maternal and Child Health Hospital, between January 2017 and December 2022. Patients were categorized into two groups based on live birth outcome: the live birth group ( n=1 036) and the non-live birth group ( n=756). The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3. Five algorithms were utilized for model development: logistic regression, random forest, extreme gradient boosting (XGBoost), support vector machine, and neural networks. Model performance was assessed using the area under the receiver operating characteristic (AUC) curve, F1 score, and calibration curves. Clinical decision curve analysis (DCA) was employed to evaluate the clinical utility of the models. SHAP values were used to interpret feature importance in the XGBoost model and enhance its explainability. Results:The XGBoost model demonstrated the best performance in predicting CLBR,with accuracy of 72.44%, AUC of 0.775, and F1 score of 0.654, accuracy and F1 score outperforming logistic regression (accuracy was 70.02%, F1 score was 0.585), random forest (accuracy was 71.69%, F1 score was 0.606), support vector machine (accuracy was 70.20%, F1 score was 0.607), and neural network (accuracy was 68.72%, F1 score was 0.560). The calibration curve of XGBoost closely aligned with the diagonal line, indicating that the predicted probabilities were very close to the actual outcomes, demonstrating good calibration. DCA indicated that the XGBoost model provided higher net benefits across a wide range of clinical decision thresholds. SHAP value analysis identified number of previous IVF failures, antral follicle count, anti-Müllerian hormone level, percentage of normal sperm morphology, and sperm DNA fragmentation index as key predictors of CLBR.Conclusion:The XGBoost model exhibits excellent predictive performance and calibration for CLBR, with SHAP values providing important insights into feature importance. This model has the potential to support the development of personalized treatment strategies in clinical practice. However, its generalizability needs to be validated using external datasets to ensure its applicability to diverse populations.
7.Clinicopathological features and surgery-related outcomes of duodenal adenocarcinoma: a multicenter retrospective study
Qifeng XIAO ; Xin WU ; Chunhui YUAN ; Zongting GU ; Xiaolong TANG ; Fanbin MENG ; Dong WANG ; Ren LANG ; Gang ZHAI ; Xiaodong TIAN ; Yu ZHANG ; Enhong ZHAO ; Xiaodong ZHAO ; Feng CAO ; Jingyong XU ; Ying XING ; Jishu WEI ; Shanmiao GOU ; Chengfeng WANG ; Jianwei ZHANG
Chinese Journal of Oncology 2025;47(10):1026-1038
Objective:This multicenter retrospective study aimed to analyze the clinicopathological features of duodenal adenocarcinoma (DA) and identify prognostic factors for postoperative survival.Methods:Demographic characteristics, clinicopathological features, treatment outcomes and survival of DA patients undergoing surgical treatment at 18 Chinese medical centers from January 2012 to December 2023 were retrospectively analyzed.Results:Among the 2 056 DA patients included, 46.8% (963) had extra-ampullary DA (EA-DA), and 53.2% (1 093) had peri-ampullary DA (PA-DA). The 1-, 3-, and 5-year overall survival (OS) rates for patients who underwent radical surgery were 93.2%, 71.0%, and 57.2%, respectively. The median overall survival was 76 months, and the median progression-free survival (PFS) was 65 months. No differences in survival were observed between the laparotomy group and minimally invasive surgery (MIS) group either before or after propensity score matching (OS: 76 vs. 75 months before PSM, P=0.986; OS: 75 vs. 75 months after PSM, P=0.602). Furthermore, there were no significant differences between-group in operation time and postoperative complications ( P>0.05). The MIS group experienced less intraoperative blood loss and shorter hospital stays. The multivariate Cox regression analysis revealed that advanced age ( HR=1.43,95% CI:1.18-1.73), elevated carbohydrate antigen 19-9 levels ( HR=1.24,95% CI:1.02-1.51), perineural invasion ( HR=1.44,95% CI:1.14-1.81), vascular invasion ( HR=1.35,95% CI:1.07-1.71), advanced T stage (T3-4 vs. T1-2: HR=1.86,95% CI:1.49-2.31), regional lymph node metastasis ( HR=1.93,95% CI:1.58-2.36), preoperative biliary drainage ( HR=1.26,95% CI:1.04-1.53), intraoperative blood loss ( HR=1.34,95% CI:1.11-1.62), clinically significant postoperative pancreatic fistulas ( HR=1.53,95% CI:1.12-2.09), and postoperative hemorrhage ( HR=1.62,95% CI:1.14-2.29) were independent risk factors for poor prognosis after surgery (all P<0.05). Conclusions:Radical surgery is associated with favorable overall survival among DA patients, and no difference in survival is observed between EA-DA and PA-DA patients. MIS is a reliable alternative for DA treatment.
8.Research progress on the evaluation of cancer-related sarcopenia and its impact on anti-cancer therapy
Yi-Yin ZHAN ; Hua JIANG ; Xing-Yue ZHAI
Parenteral & Enteral Nutrition 2025;32(3):184-188,192
One of the most common adverse reactions associated with cancer and its treatment is sarcopenia,a syndrome primarily caused by the disruption of muscle homeostasis,leading to excessive muscle atrophy and decreased muscle strength.For cancer patients,sarcopenia reflects not only a state of muscle mass loss but also serves as an important factor affecting treatment efficacy and survival rates.However,cancer-related sarcopenia often has a more insidious onset,is not visible to the naked eye,and is easily overlooked.Therefore,it is necessary to recognize the dangers of sarcopenia throughout the cancer treatment process and to identify low muscle mass early.In recent years,as healthcare professionals have increasingly focused on sarcopenia,research on cancer-related sarcopenia has gradually deepened,with new advancements in its assessment,diagnosis,intervention,and impact on anti-cancer treatment.This article provides a review of these key areas to offer a theoretical basis for the clinical practice of cancer-related sarcopenia.
9.Role of Complement in the Development of Hypertensive Nephropathy
Zhongli WANG ; Tingting ZHANG ; Xing WANG ; Jianlong ZHAI ; Lili HE ; Qingjuan ZUO ; Sai MA ; Guorui ZHANG ; Yifang GUO
Chinese Circulation Journal 2025;40(3):308-312
Immunoinflammation mediates the development of hypertensive nephropathy,and aberrant activation of the complement system,an important component of the innate immune system,plays an important role in the development of hypertensive nephropathy.Complement inhibition is expected to be a potential strategy for the treatment of hypertensive nephropathy.In this article,we summarized and reviewed relevant studies on the complement system in the development of hypertensive nephropathy,and complement-targeted drug therapy,aiming to provide new ideas for clinicians on the clinical diagnosis and treatment of hypertensive nephropathy.
10.Visual analysis of the application of wearable devices in nursing care both domestically and internationally
Qing DONG ; Shujun XING ; Xianghuan LI ; Jing ZHAI ; Xinyu WANG ; Jiaqi LIU ; Jinlan LI ; Xiaoru GAO ; Yu TANG
China Modern Doctor 2025;63(30):1-4,68
Objective To analyze the research status,hotspots,and trends of wearable devices in nursing applications both domestically and internationally.Methods Using China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,and Embase core databases as data sources,VOSviewer was used to visualize and analyze the publication time,keywords,and other relevant literature.Results Total of 428 articles were included,including 196 Chinese articles and 232 English articles.The overall publication volume showed an upward trend.Domestic research focuses on chronic diseases,artificial intelligence,and nursing,with the main research subjects being the elderly;Foreign research focuses on smart devices,self-monitoring,and quality of life,with the main research subjects being adults.Conclusion Currently,the number of publications on the application of wearable devices in nursing is relatively small,but the overall research heat is on the rise,mainly used for chronic diseases and self-monitoring.In the future,the application scope of wearable devices should be expanded and their potential value should be explored to promote the innovation and progress of nursing models.

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