1.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
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.
2.Silencing PTPN2 with nanoparticle-delivered small interfering RNA remodels tumor microenvironment to sensitize immunotherapy in hepatocellular carcinoma.
Fu WANG ; Haoyu YOU ; Huahua LIU ; Zhuoran QI ; Xuan SHI ; Zhiping JIN ; Qingyang ZHONG ; Taotao LIU ; Xizhong SHEN ; Sergii RUDIUK ; Jimin ZHU ; Tao SUN ; Chen JIANG
Acta Pharmaceutica Sinica B 2025;15(6):2915-2929
Protein tyrosine phosphatase nonreceptor type 2 (PTPN2) is a promising target for sensitizing solid tumors to immune checkpoint blockades. However, the highly polar active sites of PTPN2 hinder drug discovery efforts. Leveraging small interfering RNA (siRNA) technology, we developed a novel glutathione-responsive nano-platform HPssPT (HA/PEIss@siPtpn2) to silence PTPN2 and enhance immunotherapy efficacy in hepatocellular carcinoma (HCC). HPssPT showed potent transfection and favorable safety profiles. PTPN2 deficiency induced by HPssPT amplified the interferon γ signaling in HCC cells by increasing the phosphorylation of Janus-activated kinase 1 and signal transducer and activator of transcription 1, resulting in enhanced antigen presentation and T cell activation. The nano-platform was also able to promote the M1-like polarization of macrophages in vitro. The unique tropism of HPssPT towards tumor-associated macrophages, facilitated by hyaluronic acid coating and CD44 receptor targeting, allowed for simultaneous reprogramming of both tumor cells and tumor-associated macrophages, thereby synergistically reshaping tumor microenvironment to an immunostimulatory state. In HCC, colorectal cancer, and melanoma animal models, HPssPT monotherapy provoked robust antitumor immunity, thereby sensitizing tumors to PD-1 blockade, which provided new inspiration for siRNA-based drug discovery and tumor immunotherapy.
3.Development and multicenter validation of machine learning models for predicting postoperative pulmonary complications after neurosurgery.
Ming XU ; Wenhao ZHU ; Siyu HOU ; Hongzhi XU ; Jingwen XIA ; Liyu LIN ; Hao FU ; Mingyu YOU ; Jiafeng WANG ; Zhi XIE ; Xiaohong WEN ; Yingwei WANG
Chinese Medical Journal 2025;138(17):2170-2179
BACKGROUND:
Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery.
METHODS:
PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed.
RESULTS:
PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model.
CONCLUSIONS:
The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes.
TRIAL REGISTRATION
ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult
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Aged
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Female
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Humans
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Male
;
Middle Aged
;
Algorithms
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Lung Diseases/etiology*
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Machine Learning
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Neurosurgical Procedures/adverse effects*
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Postoperative Complications/diagnosis*
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Risk Factors
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ROC Curve
4.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
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.
5.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
6.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
7.The mediating effect of perceived social support in the relationship between maternal personality traits and pregnancy-related anxiety.
Jia Shu ZHU ; Rui WANG ; Ye LI ; You Juan FU ; Hong Ya LIU ; Jia Qi LI ; Gui Xiang YAO ; Su Zhen GUAN
Chinese Journal of Preventive Medicine 2023;57(2):187-192
Objective: Exploring the mediating effect of perceived social support between the maternal personality traits and pregnancy-related anxiety. Methods: Singleton pregnant women who underwent antenatal checkups in the obstetrics department of general hospital affiliated to Ningxia Medical University from July to December 2021 were enrolled in this study to investigate perceived social support, pregnancy-related anxiety and conscious personality traits. Pearson correlation analysis was used to analyze the association between the maternal personality traits, perceived social support, and pregnancy-related anxiety, and the mediating effect of perceived social support was analyzed using Bootstrap method. Results: A total of 1 259 subjects were included in the study, of which 170 (13.50%) pregnant women felt introverted. The total score of perceived social support was (46.37±8.38), and 31.45% of pregnant women had high perceived social support. The total score of pregnancy-related anxiety was (21.48±5.53). The score of worry about fetal health was (10.09±3.24), and 368 (29.23%) of pregnant women had pregnancy-related anxiety. Maternal personality traits and pregnancy-related anxiety were negatively correlated (r=-0.076, P<0.05) and positively correlated with perceived social support during pregnancy (r= 0.127, P<0.05). Perceived social support during pregnancy and pregnancy-related anxiety were negatively correlated (r=-0.236, P<0.05). Perceived social support partially mediated the relationship between the maternal personality traits and pregnancy-related anxiety, with a relative effect value of 37.50%. Conclusion: The maternal personality traits, level of perceived social support and pregnancy-related anxiety are all related. Perceived social support could mediate the relationship between the maternal personality traits and pregnancy-related anxiety.
Female
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Pregnancy
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Humans
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Anxiety
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Pregnant Women
;
Personality
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Social Support
;
Prenatal Care
8.Short-term outcomes and long-term quality of life after undergoing radical proximal gastrectomy with esophageal gastric tube anastomosis and total gastrectomy with Roux-en-Y anastomosis for Siewert type II and III adenocarcinoma of the esophagogastric junction: A propensity score matching analysis.
Zhi Wen XU ; Kang ZHAO ; Qing Qi HONG ; Yi Fu CHEN ; Hai Bin WANG ; He Xin LIN ; Ting Hao WANG ; Liang Bin XIAO ; Jing Tao ZHU ; Su YAN ; Jun YOU
Chinese Journal of Gastrointestinal Surgery 2023;26(2):181-190
Objective: To evaluate the effects on short-term clinical outcomes and long-term quality of life of laparoscopic-assisted radical proximal gastrectomy with esophageal gastric tube anastomosis versus total gastrectomy with Roux-en-Y anastomosis for adenocarcinoma of the esophagogastric junction. Methods: This was a propensity score matching, retrospective, cohort study. Clinicopathological data of 184 patients with adenocarcinoma of the esophagogastric junction admitted to two medical centers in China from January 2016 to January 2021 were collected (147 in the First Affiliated Hospital of Xiamen University and 37 in the Affiliated Hospital of Qinghai University). All patients had undergone laparoscopic-assisted radical gastrectomy. They were divided into two groups based on the extent of tumor resection and technique used for digestive tract reconstruction. A proximal gastrectomy with reconstruction by esophageal gastric tube anastomosis group comprised 82 patients and a total gastrectomy with reconstruction by Roux-en-Y anastomosis group comprised 102 patients. These groups differed significantly in the following baseline characteristics: age, preoperative hemoglobin, preoperative albumin, tumor length, tumor differentiation, and tumor TNM stage (all P<0.05). To eliminate potential bias caused by unequal distribution between the two groups, 1∶1 matching was performed by the nearest neighbor matching method. The 13 matched variables comprised sex, age, height, body mass, body mass index, preoperative glucose, preoperative hemoglobin, preoperative total protein, preoperative albumin, neoadjuvant radiotherapy, tumor length, degree of differentiation, and pathological TNM stage. Postoperative complications, postoperative nutritional status, incidence of reflux esophagitis 1 year after surgery, and quality of life were compared between the two groups. Results: After propensity score matching, 60 patients each were enrolled in the proximal gastrectomy with esophageal gastric tube anastomosis and total gastrectomy with Roux-en-Y anastomosis groups. The baseline characteristics were comparable between these groups (all P>0.05). There were no significant differences between the two groups in operative time, intraoperative bleeding, time to semifluid diet, postoperative hospital days, tumor length, and total hospital costs (P>0.05). Patients in the proximal gastrectomy with esophageal gastric tube anastomosis group had earlier postoperative gastric tube and abdominal drainage tube removal time than those in the total gastrectomy with Roux-en-Y anastomosis group (t=-2.183, P=0.023 and t=-4.073, P<0.001, respectively). In contrast, significantly fewer lymph nodes were cleared and significantly fewer lymph nodes were positive in the proximal gastrectomy with esophageal gastric tube anastomosis group than in the total gastrectomy with Roux-en-Y anastomosis group (t=-5.754, P<0.001 and t=-2.575, P=0.031, respectively). The incidence of early postoperative complications was 43.3% (26/60) in the total gastrectomy with Roux-en-Y anastomosis group; this is not significantly higher than the 26.7% (16/60) in the proximal gastrectomy with esophageal gastric tube anastomosis group (χ2=3.663,P=0.056). The incidences of pulmonary infection (31.7%, 19/60) and pleural effusion (30.0%, 18/60) were significantly higher in the total gastrectomy with Roux-en-Y anastomosis group than in the proximal gastrectomy with esophageal gastric tube anastomosis group (13.3%, 8/60 and 8.3%, 5/60, respectively); these differences are significant (χ2=8.711, P=0.003 and χ2=11.368, P=0.001, respectively). All early complications were successfully treated before discharge. The incidence of long-term postoperative complications was 20.0% (12/60) in the total gastrectomy with Roux-en-Y anastomosis group and 35.0% (21/60) in the proximal gastrectomy with esophageal gastric tube anastomosis group; this difference is not significant (χ2=3.386,P=0.066). The incidence of reflux esophagitis was 23.3% (14/60) in the proximal gastrectomy with esophageal gastric tube anastomosis group; this is significantly higher than the 1.7% (1/60) in the total gastrectomy with Roux-en-Y anastomosis group (χ2=12.876, P<0.001). Body mass index had decreased significantly in both groups 1 year after surgery compared with preoperatively; however, the difference between the two groups was not significant (P>0.05). The differences in hemoglobin and albumin concentrations between 1 year postoperatively and preoperatively were not significant (both P>0.05). Quality of life was assessed using the Visick grade. Visick grade I dominated in both groups. The percentage of patients with Visick II and III in the total gastrectomy with Roux-en-Y anastomosis group was 11.7% (7/60), which is significantly lower than the 33.3% (20/60) in the proximal gastrectomy with esophageal gastric tube anastomosis group (χ2=8.076, P=0.004). No patients in either group had a grade IV quality of life. Conclusions: Both proximal gastrectomy with esophageal gastric tube anastomosis and total gastrectomy with Roux-en-Y anastomosis laparoscopic-assisted radical surgery for adenocarcinoma of the esophagogastric junction are safe and feasible. However, both procedures have their own advantages and disadvantages in terms of postoperative complications. The incidence of reflux esophagitis is higher after proximal gastrectomy with esophageal gastric tube anastomosis, whereas the long-term quality of life is lower than that of patients after total gastrectomy with Roux-en-Y anastomosis.
Humans
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Anastomosis, Roux-en-Y
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Retrospective Studies
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Cohort Studies
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Esophagitis, Peptic
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Quality of Life
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Propensity Score
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Gastrectomy/methods*
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Esophagogastric Junction/surgery*
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Anastomosis, Surgical/methods*
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Adenocarcinoma/pathology*
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Stomach Neoplasms/pathology*
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Postoperative Complications
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Treatment Outcome
9.Comparison of next-generation flow cytometry and next-generation sequencing in the assessment of minimal residual disease in multiple myeloma.
Qing Qing WANG ; Li YAO ; Ming Qing ZHU ; Ling Zhi YAN ; Song JIN ; Jing Jing SHANG ; Xiao Lan SHI ; Ying Ying ZHAI ; Shuang YAN ; Wei Qin YAO ; Hong Ying YOU ; De Pei WU ; Cheng Cheng FU
Chinese Journal of Hematology 2023;44(4):328-332
10.Construction of Diagnosis and Treatment System of Traditional Chinese Medicine for Pulmonary Nodules Based on the Whole-Course Management of Disease
Peiwen ZHU ; Fang LI ; Chong XIAO ; Yifeng REN ; Xi FU ; Fengming YOU
Journal of Traditional Chinese Medicine 2023;64(23):2397-2400
Pulmonary nodule is a key window for moving ahead the diagnosis and treatment of lung cancer. Traditional Chinese medicine (TCM) can delay the transformation of lung nodules into lung cancer, improve the prognosis of patients, effectively fill the treatment gap during the follow-up period of pulmonary nodules, and has been applied it in the whole cycle and multi-dimensional management of pulmonary nodules. This paper discussed the construction ideas and feasible paths of the whole process management diagnosis and treatment system of pulmonary nodules in TCM, proposed the diagnosis and treatment database of TCM for pulmonary nodules based on the social module of “family-community-hospital”. Through artificial intelligence, we can develop, improve and promote the multi-level and multi-modal “disease-symptom combination” risk prediction model and effectiveness evaluation system of pulmonary nodules. At the same time, the biological connotation of the prevention and treatment of pulmonary nodules by TCM is excavated, which provided empirical evidence for the construction of TCM diagnosis and treatment system, in order to further improve the quality and diagnosis and treatment level of the whole course management of pulmonary nodules.

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