1.Diagnostic Techniques and Risk Prediction for Cardiovascular-kidney-metabolic (CKM) Syndrome
Song HOU ; Lin-Shan ZHANG ; Xiu-Qin HONG ; Chi ZHANG ; Ying LIU ; Cai-Li ZHANG ; Yan ZHU ; Hai-Jun LIN ; Fu ZHANG ; Yu-Xiang YANG
Progress in Biochemistry and Biophysics 2025;52(10):2585-2601
Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.
2.Research progress on mechanism of interaction between traditional Chinese medicine and intestinal flora
Jing WU ; Wei-Yi TIAN ; Kun CAI ; Su-Fang ZHOU ; Yao-Feng LI ; Xiang-Yun CHEN ; Hai-Bing QIAN ; Sha-Sha YANG
Chinese Pharmacological Bulletin 2024;40(10):1823-1829
Modern Chinese medicine studies have confirmed that the interaction between traditional Chinese medicine(TCM)and intestinal flora is the key to the treatment of diseases with tradi-tional Chinese medicine.This interplay includes such activities as:traditional Chinese medicine can be metabolized by intestinal flora into effective components with different biological activities from its precursors;TCM chemicals improve the composition of gut microbiota,consequently ameliorating its dysfunction as well as associated pathological conditions;and gut microbiota mediate the interactions between the multiple chemicals in TCM.There-fore,it becomes an important way to understand the modern sci-entific connotation of traditional Chinese medicine theory to study the pharmacological mechanism of the efficacy of traditional Chi-nese medicine by targeting Gut microbiota.
3.The Pathogenic Characteristics of the Initial Three Mpox Cases in Hunan Province, China.
Rong Jiao LIU ; Xing Yu XIANG ; Zi Xiang HE ; Qian Lai SUN ; Fu Qiang LIU ; Shuai Feng ZHOU ; Yi Wei HUANG ; Fang Cai LI ; Chao Yang HUANG ; Juan WANG ; Fang Ling HE ; Xin Hua OU ; Shi Kang LI ; Yu Ying LU ; Fan ZHANG ; Liang CAI ; Hai Ling MA ; Zhi Fei ZHAN
Biomedical and Environmental Sciences 2023;36(12):1167-1170
4.SBC (Sanhuang Xiexin Tang combined with Baihu Tang plus Cangzhu) alleviates NAFLD by enhancing mitochondrial biogenesis and ameliorating inflammation in obese patients and mice.
Zhitao REN ; Gemin XIAO ; Yixin CHEN ; Linli WANG ; Xiaoxin XIANG ; Yi YANG ; Siying WEN ; Zhiyong XIE ; Wenhui LUO ; Guowei LI ; Wenhua ZHENG ; Xiaoxian QIAN ; Rihan HAI ; Liansheng YANG ; Yanhua ZHU ; Mengyin CAI ; Yinong YE ; Guojun SHI ; Yanming CHEN
Chinese Journal of Natural Medicines (English Ed.) 2023;21(11):830-841
In the context of non-alcoholic fatty liver disease (NAFLD), characterized by dysregulated lipid metabolism in hepatocytes, the quest for safe and effective therapeutics targeting lipid metabolism has gained paramount importance. Sanhuang Xiexin Tang (SXT) and Baihu Tang (BHT) have emerged as prominent candidates for treating metabolic disorders. SXT combined with BHT plus Cangzhu (SBC) has been used clinically for Weihuochisheng obese patients. This retrospective analysis focused on assessing the anti-obesity effects of SBC in Weihuochisheng obese patients. We observed significant reductions in body weight and hepatic lipid content among obese patients following SBC treatment. To gain further insights, we investigated the effects and underlying mechanisms of SBC in HFD-fed mice. The results demonstrated that SBC treatment mitigated body weight gain and hepatic lipid accumulation in HFD-fed mice. Pharmacological network analysis suggested that SBC may affect lipid metabolism, mitochondria, inflammation, and apoptosis-a hypothesis supported by the hepatic transcriptomic analysis in HFD-fed mice treated with SBC. Notably, SBC treatment was associated with enhanced hepatic mitochondrial biogenesis and the inhibition of the c-Jun N-terminal kinase (JNK)/nuclear factor-kappa B (NF-κB) and extracellular signal-regulated kinase (ERK)/NF-κB pathways. In conclusion, SBC treatment alleviates NAFLD in both obese patients and mouse models by improving lipid metabolism, potentially through enhancing mitochondrial biogenesis. These effects, in turn, ameliorate inflammation in hepatocytes.
Humans
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Mice
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Animals
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Non-alcoholic Fatty Liver Disease/metabolism*
;
NF-kappa B/metabolism*
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Organelle Biogenesis
;
Retrospective Studies
;
Mice, Inbred C57BL
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Obesity/metabolism*
;
Liver
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Inflammation/metabolism*
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Body Weight
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Lipid Metabolism
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Lipids
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Diet, High-Fat/adverse effects*
5.Selumetinib in the treatment of type 1 neurofibromatosis in a child.
Bang Tao LI ; Ge ZHANG ; Qi Ming PANG ; Yuan Ping HAI ; Sheng Cai WANG ; Qiao Yin LIU ; Yan SU ; Jun ZOU ; Jiao Yang LI ; Wei XIANG ; Xin NI
Chinese Journal of Pediatrics 2023;61(10):938-940
6.Analysis on the secondary attack rates of SARS-CoV-2 Omicron variant and the associated factors.
Qing Xiang SHANG ; Ke XU ; Qi Gang DAI ; Hao Di HUANG ; Jian Li HU ; Xin ZOU ; Li Ling CHEN ; Ye WEI ; Hai Peng LI ; Qian ZHEN ; Wei CAI ; Yin WANG ; Chang jun BAO
Chinese Journal of Preventive Medicine 2023;57(10):1550-1557
Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q1, Q3) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q1, Q3) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans
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Male
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Middle Aged
;
Young Adult
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Adult
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COVID-19/epidemiology*
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Incidence
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SARS-CoV-2
;
Logistic Models
7.Analysis on the secondary attack rates of SARS-CoV-2 Omicron variant and the associated factors.
Qing Xiang SHANG ; Ke XU ; Qi Gang DAI ; Hao Di HUANG ; Jian Li HU ; Xin ZOU ; Li Ling CHEN ; Ye WEI ; Hai Peng LI ; Qian ZHEN ; Wei CAI ; Yin WANG ; Chang jun BAO
Chinese Journal of Preventive Medicine 2023;57(10):1550-1557
Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q1, Q3) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q1, Q3) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.
Humans
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Male
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Middle Aged
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Young Adult
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Adult
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COVID-19/epidemiology*
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Incidence
;
SARS-CoV-2
;
Logistic Models
8.The role of prostate-specific antigen density and negative multiparametric magnetic resonance imaging in excluding prostate cancer for biopsy-naïve men: clinical outcomes from a high-volume center in China.
Chi-Chen ZHANG ; Xiang TU ; Tian-Hai LIN ; Di-Ming CAI ; Ling YANG ; Ling NIE ; Shi QIU ; Zhen-Hua LIU ; Kun JIN ; Jia-Kun LI ; Xing-Yu XIONG ; Lu YANG ; Qiang WEI
Asian Journal of Andrology 2022;24(6):615-619
This study aimed to assess the role of prostate-specific antigen density (PSAD) and negative multiparametric magnetic resonance imaging (mpMRI) in predicting prostate cancer for biopsy-naïve men based on a large cohort of the Chinese population. From a prostate biopsy database between March 2017 and July 2021, we retrospectively identified 240 biopsy-naïve patients with negative prebiopsy mpMRI (Prostate Imaging Reporting and Data System version 2 [PI-RADS v2] score <3). Logistic regression analysis was performed to select the potential predictors for clinically significant prostate cancer (csPCa). Receiver operating characteristic (ROC) curve analysis and area under the ROC curve (AUC) were performed to assess the diagnostic accuracy. The negative predictive values of mpMRI in excluding any cancer and csPCa were 83.8% (201/240) and 90.8% (218/240), respectively. ROC curve analysis indicated that PSAD was the most promising predictor, with an AUC value of 0.786 (95% confidence interval [CI]: 0.699-0.874), and multiparametric logistic regression analysis confirmed that higher PSAD remained a significant marker for predicting csPCa (odds ratio [OR]: 10.99, 95% CI: 2.75-44.02, P < 0.001). Combining negative mpMRI and PSAD below 0.20 ng ml-2 obviously increased the predictive value in excluding PCa (91.0%, 101/111) or csPCa (100.0%, 111/111). If a PSAD below 0.20 ng ml-2 was set as the criterion to omit biopsy, nearly 46.3% of patients (463 per 1000) with negative mpMRI could safely avoid unnecessary biopsy, with approximately 4.2% of patients (42 per 1000) at risk of missed diagnosis of PCa and no patients with csPCa missed. A PI-RADS v2 score <3 and a PSAD <0.20 ng ml-2 could be potential criteria for the Chinese population to omit prompt biopsy safely.
Male
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Humans
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Prostatic Neoplasms/pathology*
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Prostate-Specific Antigen
;
Multiparametric Magnetic Resonance Imaging
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Magnetic Resonance Imaging/methods*
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Retrospective Studies
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Biopsy
;
Image-Guided Biopsy/methods*
9.Association between metabolic risk factors and the hepatitis B reactivation of inactive HBsAg carriers in Jiangsu province: a cohort study.
Jian Fang XU ; Jie JIANG ; Li YANG ; Jiao QIAN ; Han WANG ; Hai Ming CHEN ; Hong Jian LIU ; Ci SONG ; Xin XU ; Feng Cai ZHU ; Li Guo ZHU ; Xiang Jun ZHAI
Chinese Journal of Epidemiology 2022;43(8):1301-1308
Objective: To analyze the impact of metabolic risk factors on the epidemiological characteristics of the reactivation of inactive HBsAg carriers (IHC) and provide effective intervention measures to standardize the management of chronic hepatitis B infections. Methods: Based on the chronic hepatitis B infection cohort established in 2010 in Jiangsu province, six follow-up visits from 2012 to 2020 were conducted to analyze the characteristics and influencing factors of the hepatitis B reactivation of IHC and the impact of metabolic risk factors, including obesity, high blood pressure, diabetes and hyperglycemia. Results: From 2012 to 2020, 2 527 IHC and 17 730 person-years were observed during a median follow-up period of 7.0 person-years. Ninety-eight cases of hepatitis B reactivation, with a cumulative reaction rate, was 3.9%, and the incidence density was 5.53/1 000 person-years. Multivariate Cox proportional risk regression analysis showed that age and baseline HBV DNA were independent risk factors of HBV reactivation. Compared with the patients ≥60 years, 40-49 age group (aHR=2.16, 95%CI:1.20-3.90) and 20-29 age group (aHR=5.48, 95%CI:2.07-14.48) were significantly associated with hepatitis B reactivation. Compared with the HBV DNA negative patients at baseline, the risk of hepatitis B reactivation was higher in the group with low HBV DNA level 100-1 999 IU/ml (aHR=1.67, 95%CI:1.11-2.52). Stratification analysis results showed that compared with those without metabolic risk factors, in the ≥50 age group, patients with ≥2 metabolic risk factors showed adjusted HR of 2.73 (95%CI:1.08-6.96). Conclusions: The risk of hepatitis B being reactive is the persistent existence of IHC in communities in Jiangsu province, especially young adults, low-level HBV DNA carriers, and IHC with ≥2 metabolic risk factors. Follow-up for these IHC should be strengthened to reduce the risk of disease progression by antiviral treatment at the right time.
Cohort Studies
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DNA, Viral
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Hepatitis B/epidemiology*
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Hepatitis B Surface Antigens
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Hepatitis B virus/genetics*
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Hepatitis B, Chronic/epidemiology*
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Humans
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Risk Factors
;
Young Adult
10.Preliminary analysis of the promotion effect of laparoscopic standardized surgical treatment for gastric cancer in regional medical centers in Shanghai.
Xiao Dong SHEN ; Ming XU ; Chang SU ; Min YE ; Wei LI ; Zhen Xi YANG ; Jiang HAN ; Zhi Qi ZHANG ; Hong Gang XIANG ; Lin Hai YU ; Peng SUN ; Wen Hai HUANG ; Bo Wen XIE ; Ying Xin GUAN ; Zeng Hao CAI ; Wenpeng ZHANG ; Lu ZANG
Chinese Journal of Gastrointestinal Surgery 2022;25(8):708-715
Objective: To explore the promotion effect of laparoscopic standardized surgery for gastric cancer observational in some regional medical centers in Shanghai. Methods: A retrospective cohort study was carried out. Eleven regional medical centers in Shanghai received the promotion program of laparoscopic standardized surgery for gastric cancer, which was led by Ruijin Hospital, Shanghai Jiaotong University School of Medicine (Shanghai Minimally Invasive Surgery Center) from January to December 2020. Clinicopathological data of gastric cancer patients treated at these 11 regional medical centers before and after the promotion program were collected. Inclusion criteria were as follows: patients undergoing laparoscopic distal gastrectomy or total gastrectomy; gastric cancer confirmed by pathology; without distant metastasis or peritoneal metastasis. Patients who did not undergo laparoscopic D2 radical resection, or received neoadjuvant chemotherapy before surgery, or without complete clinical data were excluded. Patients undergoing laparoscopic surgery from January to December 2019 were included in the pre-promotion group (46 cases). Patients undergoing laparoscopic surgery from January to December 2021 were included in the post-promotion group (102 cases). In addition, patients undergoing laparoscopic surgery at Ruijin Hospital from January 2021 to December were included in the control group (138 cases). The baseline data, perioperative measurements postoperative complications, and pathological results of the three groups were analyzed and compared. Results: There were no significant differences in baseline characteristics among the three groups (all P>0.05). Compared with the pre-promotion group, the operation time in post-promotion group was significantly shorter [(207.3±36.0) minutes vs. (254.2±47.1) minutes, t=7.038,P<0.001], and the number of harvested lymph node was significantly more (24.4±12.2 vs. 18.9±5.5, t=2.900, P=0.004). However, there were no significant differences in the extent of resection, time to fluid intake, and postoperative hospital stay between the two groups (all P>0.05). Compared with the control group, the operation time [(207.3±36.0) minutes vs (172.6±26.0) minutes, t=8.281, P<0.001], time to fluid intake [(6.3±3.2) days than (5.5±3.0) days, t=2.029, P=0.044], and the postoperative hospital stay [(14.3±5.6) days vs. (10.1±4.8) days, t=6.036, P<0.001] in the post- promotion group were still longer. Total gastrectomy was less common in the post-promotion group compared with the control group [18 cases (17.6%) vs. 41 cases (29.7%), χ2=7.380, P=0.007]. However, there was no significant difference in the number of harvested lymph node between the two groups (P>0.05). The morbidity of postoperative complication in the post-promotion group (9.8%, 10/102) was significantly lower than that in the pre-promotion group (23.9%, 11/46) (χ2=5.183, P=0.023), while above morbidity was not significantly different between the post-promotion group and the control group [9.8% vs. 6.5% (9/138), χ2=0.867, P=0.352]. Conclusion: After the promotion of laparoscopic standardized surgery for gastric cancer in regional medical centers, the standardization degree of surgery has been improved, and the morbidity of postoperative complication decreases. Laparoscopic standardized surgery for gastric cancer can be promoted to more regional medical centers.
China
;
Gastrectomy/methods*
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Hospitals
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Humans
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Laparoscopy
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Lymph Node Excision/methods*
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Postoperative Complications/etiology*
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Retrospective Studies
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Stomach Neoplasms/pathology*
;
Treatment Outcome

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