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| 1 | Malnutrition and Quality of Life in Chinese Cancer Patients: a Clinical Study of 23,994 Subjects显示文摘Background Malnutrition is common in patients with cancer,and can negatively impact their quality of life(QoL)and even survival.However,there is currently no large data available on the prevalence of malnutrition in Chinese cancer patients.This study evaluated the prevalence of malnutrition and the QoL of Chinese patients with locoregional,recurrent or metastatic cancer.Methods We conducted a nationwide observational,multi-center,hospital-based cross-sectional study within the Chinese Society of Nutritional Oncology(CSNO)Network.All of the patients were diagnosed with one of the following 18 different types of malignant tumors:lung cancer,gastric cancer,liver cancer,colorectal cancer,breast cancer,esophageal cancer,cervical cancer,endometrial cancer,nasopharyngeal carcinoma,malignant lymphoma,leukemia,pancreatic cancer,ovarian cancer,prostate cancer,bladder cancer,brain cancer,biliary tract malignant tumors or gastrointestinal stromal tumors.These patients were enrolled from 72 hospitals located in different regions of China.The patients’nutritional status was evaluated based on the body mass index(BMI),loss of bodyweight,laboratory measurements and patient generated-subjective global assessment(PG-SGA)scores.The cancer patients’physical status and QoL were assessed by the Karnofsky Performance Status(KPS)questionnaire and the European Organization for Research and Treatment of Cancer(EORTC)QLQ-C30 questionnaire,respectively.Results From December 2013 to April 2016,23,994 patients hospitalized for cancer treatment(such as surgery,chemotherapy or radiotherapy)were enrolled in the study.The patients included 12,494(52.9%)males and 11,124(47.1%)females.The mean age was 55.8±13.7 years.The proportions of patients in cancer stagesⅠ,Ⅱ,Ⅲ,Ⅳand uncertain were 11.5%,20.3%,27.5%,30.2%and 10.5%,respectively.Among the 23,994 inpatients,the proportions of patients who were underweight(BMI<18.5 kg/m2),normal(18.5 kg/m2 | Hong Xia Xu Chun Hua Song Zhen Ming Fu Chang Wang Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Fu Xiang Zhou Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Min Weng Qing Hua Yao Jiu Wei Cui Wei Li Han Ping Shi the Investigation on Nutrition Status and Clinical Outcome of Common Cancers(INSCOC)Group | 2021 | Journal of Nutritional Oncology2021，6，1： | 8 |
| 2 | Validity of the Chinese Version of the Patient-Generated Subjective Global Assessment (PG-SGA) in Lung Cancer Patients显示文摘The prevalence of malnutrition is high among oncology patients in China. Although the Patient- Generated Subjective Global Assessment (PG-SGA) is widely recognized as an important nutritional assessment tool, it has not been validated for Chinese cancer patients. The purpose of this study was to conduct an analysis of nutrition screening and assessment data to validate the Chinese version of the PG-SGA in Chinese patients with lung cancer. This was an observational, cross-sectional study of 2,000 consecutive adult patients with lung cancer treated at several tertiary hospitals in China. Anthropometric and patient descriptive data were collected. The PG-SGA generated a score for the nutritional risk and a global rating for the nutritional status. The internal consistency, external consistency, and construct validity were evaluated, and a known-groups comparison and principal component analyses were conducted to evaluate the reliability and validity of the PG-SGA. The known-groups comparison demonstrated the ability of the PG-SGA to differentiate lung cancer patients of different nutritional and body mass index (BMI) groups. A confirmatory factor analysis supported the original four-factor structure of the PG-SGA. In terms of the internal and external consistency, the PG-SGA demonstrated intra-class correlation coefficients (ICC) up to 0.987. Alternative form validity was also demonstrated between Box 4 of the PG-SGA and the Karnofsky Performance Status score, with excellent external consistency (r = 0.972, P < 0.001). The construct validity was supported, and selected questionnaire dimensions were evident in the principal component analysis. Significant Spearman correlations (P < 0.001) were demonstrated. The Chinese version of the PG-SGA demonstrated significant reliability and sufficient exploratory properties to support its validity. It seems to be a valid tool that can be used to access the nutritional status of Chinese lung cancer patients. The validity of the PG-SGA in Chinese cancer patients warrants further investigation in other cancer types. | Zhen Ming Fu Hong Xia Xu Chun Hua Song Wei Li Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Chang Wang Han Ping Shi The Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group | 2016 | Journal of Nutritional Oncology2016，1，1： | 7 |
| 3 | Validity of the Chinese Version of the Patient-Generated Subjective Global Assessment (PG-SGA) in Gastric Cancer Patients显示文摘Purpose Malnutrition is severe among gastric cancer patients in China. While the Patient-Generated Subjective Global Assessment (PG-SGA) is a widely used nutritional assessment tool, the validation for Chinese patients with gastric cancer has not been performed yet. The aim of this research is to validate the Chinese version of the PGSGA in Chinese gastric cancer patients by conducting analyses of nutrition screening and assessment data. Methods Two thousand consecutive adult patients with gastric cancer were included in this observational, cross-sectional study in several tertiary hospitals in China. A survey was made among those patients, which included several questionnaires and some anthropometric parameters. We calculated the parameters to validate the use of PG-SGA categorizing the nutritional status of gastric cancer patients. Then we performed statistical analysis to evaluate the internal consistency, external consistency, and construct validity. Results This study verified the ability of the PG-SGA to differentiate gastric cancer patients into different nutritional groups. The confirmatory factor analysis verified the original four-factor structure of the PG-SGA. The internal and external consistency was measured by a concordance analysis which showed an intraclass correlation coefficients (ICC) of 0.987. The correlations of the Box 4 score with the Karnofsky performance status score demonstrated alternative form validity with good external consistency (Pearson, r = 0.643, P < 0.001). All three anthropometric dimensions of the PG-SGA were supported by principal component analysis. Spearman correlations (P < 0.001) were significant in the majority of tests. Conclusion The Chinese version of the PG-SGA is a valid tool to access the patients’ nutritional status for Chinese gastric patients. | Zhen Ming Fu Hong Xia Xu Chun Hua Song Wei Li Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Chang Wang Han Ping Shi The Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group | 2018 | Journal of Nutritional Oncology2018，3，4： | 5 |
| 4 | Extension Protocol for the Investigation on Nutrition Status and Clinical Outcome of Patients with Common Cancers in China(INSCOC)Study:2021 update显示文摘Background Malnutrition is common in patients with cancer,and this adversely affects the survival and quality of life of patients.Chinese Society for Nutritional Oncology issued a multi-center,large-scale,long-term follow-up prospective study,the Investigation on Nutrition Status and Clinical Outcome of Patients with Common Cancers in China(INSCOC study)since 2013.This is an extension to the previous 2013-2020 study protocol.This study still sought to:①address the prognostic impact of nutritional factors and quality of life on cancer patient survival;②describe the overall and cancer-specific incidence and/or distribution of malnutrition and different measurements of patient quality of life.Methods and study design This is an observational,multi-centered,hospital-based prospective cohort study.Data collection will be performed at baseline(within 48 hours after patient admission),during the hospital stay and 30 days after hospital admission.Follow-up will be conducted for 1-20 years after enrollment.The primary outcome will be the all-cause mortality/overall survival,and secondary outcomes will be the length of hospital stay and costs of hospitalization.Study factors will include demographic characteristics,tumor characteristics,information about chronic diseases,hematological measurements(e.g.,red blood cell count,total lymphocyte counts,hemoglobin,albumin,prealbumin,creatinine,C-reactive protein,IL-6),anthropometric measurements(e.g.,height,weight,arm circumference,arm muscle circumference,triceps skinfold thickness,and waist circumference),body composition parameters,PG-SGA scores,quality of life(as indicated by the QLQ-C30 questionnaire),muscle mass(as indicated by the calf circumference),muscle strength(as indicated by the handgrip strength),muscle function(as indicated by the six-meter walking speed test)and physical status assessments(as indicated by the Karnofsky Performance Status scores).This clinical study protocol was approved by local Ethics Committees of all the participating hospitals.Written informed consent is required for each subject included.Discussion This multi-center,large-scale,long-term follow up prospective study will help improve the diagnosis of malnutrition in cancer patients and identify the risk factors associated with adverse clinical outcomes.The anticipated results of this study will highlight the need for a truly scientific appraisal of nutrition therapy in Chinese oncology populations,and finally help treat the potentially reversible elements of malnutrition in cancer patients to improve their clinical outcomes in the future. | Hong Xia Xu Chun Hua Song Liang Yu Yin Chang Wang Zhen Ming Fu Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Fu Xiang Zhou Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Zhi Kang Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Xiang Hua Wu Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Min Weng Qing Hua Yao Ya Yin Yu Quan Jun Lyu Hong Qiu Ming Liu Wei Li Han Ping Shi The Investigation on Nutrition Status and Clinical Outcome of Common Cancers(INSCOC)Group | 2022 | Journal of Nutritional Oncology2022，7，2： | 3 |
| 5 | EMBRY- ONIC FACTOR 1 encodes an AMP deaminase and is essential for the zygote to embryo transition in Arabidopsis显示文摘 | Jun Xu Hai - Ying Zhang Cong - Hua Xie | 2005 | The Plant Journal2005，42，： | 1 |
| 6 | Comparison of Four Tools Used for Nutritional Screening and Assessment in Cancer Patients:An Prospective Observational Study in China显示文摘The purpose of this study was to investigate and compare the efficacy of four screening tools commonly used to evaluate the nutritional status of cancer patients.A total of 173 patients(average age 50.7±12.9,89 males,84 females)with different pathology at admission were assessed using four nutritional screening tools,including the Body Mass Index(BMI),the Nutritional Risk Index(NRI),Patient-Generated Subjective Global Assessment(PG-SGA),and the Nutrition Risk Screening 2002(NRS 2002).The prevalence of malnourished/at high nutritional risk classified by the BMI,NRI,PG-SGA,and NRS 2002 were 12.7%,32.4%,65.3%,and 20.8%,respectively.Using the PG-SGA as a gold standard,the specificity and positive predictive value of the BMI and NRS 2002 were both 100%.The NRS 2002(K=0.245,P<0.001)and NRI(K=0.301,P<0.001)were found to be in poor agreement with the PG-SGA.The results for the BMI showed a moderate agreement(K=0.713,P<0.001)with the NRS 2002.There was a high prevalence of malnutrition in cancer patients,especially when assessed by the PG-SGA,which was superior to the BMI,NRI,and NRS 2002 in this study.The NRS 2002 may be used to screen for malnutrition and the risk of malnutrition in cancer patients before the implementation of the PG-SGA. | Shuang Ting Shen Ling Yan Hui Hui Liu Jun Hong Zhang Cong Hua Xie Zheng Kai Liao | 2018 | Journal of Nutritional Oncology2018，3，3： | 0 |
| 7 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 8 | Advances in nuclear detection and readout techniques显示文摘“A Craftsman Must Sharpen His Tools to Do His Job,”said Confucius.Nuclear detection and readout techniques are the foundation of particle physics,nuclear physics,and particle astrophysics to reveal the nature of the universe.Also,they are being increasingly used in other disciplines like nuclear power generation,life sciences,environmental sciences,medical sciences,etc.The article reviews the short history,recent development,and trend of nuclear detection and readout techniques,covering Semiconductor Detector,Gaseous Detector,Scintillation Detector,Cherenkov Detector,Transition Radiation Detector,and Readout Techniques.By explaining the principle and using examples,we hope to help the interested reader underst and this research field and bring exciting information to the community. | Rui He Xiao‑Yang Niu Yi Wang Hong‑Wei Liang Hong‑Bang Liu Ye Tian Hong‑Lin Zhang Chao‑Jie Zou Zhi‑Yi Liu Yun‑Long Zhang Hai‑Bo Yang Ju Huang Hong‑Kai Wang Wei‑Jia Han Bei Cao Gang Chen Cong Dai Li‑Min Duan Rui‑Rui Fan Fang‑Fa Fu Jian‑Hua Guo Dong Han Wei Jiang Xian‑Qin Li Xin Li Zhuo‑Dai Li Yu‑Tie Liang Shun Liao De‑Xu Lin Cheng‑Ming Liu Guo‑Rui Liu Jun‑Tao Liu Ze Long Meng‑Chen Niu Hao Qiu Hu Ran Xiang‑Ming Sun Bo‑Tan Wang Jia Wang Jin‑Xiang Wang Qi‑Lin Wang Yong‑Sheng Wang Xiao‑Chuan Xia Hao‑Qing Xie He‑Run Yang Hong Yin Hong Yuan Chun‑Hui Zhang Rui‑Guang Zhao Ran Zheng Cheng‑Xin Zhao | 2023 | Nuclear Science and Techniques2023，34，12： | 0 |
| 9 | Key elements and checklist of shared decisionmaking conversation on life-sustaining treatment in emergency:a multispecialty study from China显示文摘BACKGROUND:Shared decision-making(SDM)has broad application in emergencies.Most published studies have focused on SDM for a certain disease or expert opinions on future research gaps without revealing the full picture or detailed guidance for clinical practice.This study is to investigate the optimal application of SDM to guide life-sustaining treatment(LST)in emergencies.METHODS:This study was a prospective two-round Delphi consensus-seeking survey among multiple stakeholders at the China Consortium of Elite Teaching Hospitals for Residency Education.Participants were identified based on their expertise in medicine,law,administration,medical education,or patient advocacy.All individual items and questions in the questionnaire were scored using a 5-point Likert scale,with responses ranging from'very unimportant'(a score of 1)to'extremely important'(a score of 5).The percentages of the responses that had scores of 4-5on the 5-point Likert scale were calculated.A Kendall’s W coefficient was calculated to evaluate the consensus of experts.RESULTS:A two-level framework consisting of 4 domains and 22 items as well as a ready-touse checklist for the informed consent process for LST was established.An acceptable Kendall’s W coefficient was achieved.CONCLUSION:A consensus-based framework supporting SDM during LST in an emergency department can inform the implementation of guidelines for clinical interventions,research studies,medical education,and policy initiatives. | Shu Li Jing Xie Ziyi Chen Jie Yan Yuliang Zhao Yali Cong Bin Zhao Hua Zhang Hongxia Ge Qingbian Ma Ning Shen | 2023 | World Journal of Emergency Medicine2023，14，5： | 0 |
| 10 | Three doses of prototypic SARS-CoV-2 inactivated vaccine induce cross-protection against its variants of concern显示文摘Variants are globally emerging very quickly following pandemic prototypic SARS-CoV-2.To evaluate the cross-protection of prototypic SARS-CoV-2 vaccine against its variants,we vaccinated rhesus monkeys with three doses of prototypic SARS-CoV-2 inactivated vaccine,followed by challenging with emerging SARS-CoV-2 variants of concern(VOCs). | Tianhong Xie Shuaiyao Lu Zhanlong He Hongqi Liu Junbin Wang Cong Tang Ting Yang Wenhai Yu Hua Li Yun Yang Hao Yang Lei Yue Yanan Zhou Fengmei Yang Zhiwu Luo Yanyan Li Hong Xiang Yuan Zhao Jie Wang Haixuan Wang Runxiang Long Dexuan Kuang Wenjie Tan Xiaozhong Peng Qihan Li Zhongping Xie | 2022 | Signal Transduction and Targeted Therapy2022，7，3： | 0 |
| 11 | Air Traffic Operation Complexity Analysis Based on Metrics System显示文摘In order to quantitatively analyze air traffic operation complexity,multidimensional metrics were selected based on the operational characteristics of traffic flow.The kernel principal component analysis method was utilized to reduce the dimensionality of metrics,therefore to extract crucial information in the metrics.The hierarchical clustering method was used to analyze the complexity of different airspace.Fourteen sectors of Guangzhou Area Control Center were taken as samples.The operation complexity of traffic situation in each sector was calculated based on real flight radar data.Clustering analysis verified the feasibility and rationality of the method,and provided a reference for airspace operation and management. | Xie Hua Cong Wei Hu Ming hua Liu Sifeng | 2016 | Transactions of Nanjing University of Aeronautics and Astronautics2016，33，4： | 0 |
| 12 | Association between Mean Ocular Perfusion Pressure and Diabetic Retinopathy in a Northeastern Chinese Population显示文摘Objective To evaluate the association between diabetic retinopathy(DR) and mean ocular perfusion pressure(MOPP) in patients with type 2 diabetes mellitus(T2 DM).Methods Patients from the Fushun Diabetic Retinopathy Cohort Study(FS-DIRECT), a communitybased prospective cohort study conducted in northeast China, were included in this study. The presence and severity of DR were determined by grading fundus photographs according to the Early Treatment Diabetic Retinopathy Study(ETDRS) retinopathy scale. Systolic and diastolic blood pressure(SBP and DBP) were recorded using an electronic sphygmomanometer. Intraocular pressure(IOP) was measured using an iCare rebound tonometer. MOPP was calculated using the formula MOPP = 2/3 [DBP + 1/3(SBP-DBP)]-IOP.Results In total, 1,857 patients who had gradable fundus photography and MOPP data were enrolled in this study. Male patients had a higher MOPP than female patients(52.25 ± 8.75 vs. 50.96 ± 8.74 mmHg, P = 0.002). Overall, both male and female patients with any type of DR, non-proliferative DR(NPDR), or non-sight-threatening DR(non-STDR) had significantly higher MOPP relative to patients without DR. Increased MOPP(per 1 mmHg) was in turn associated with the presence of any type of DR[odds ratio(OR) = 1.03, 95% confidence interval(CI) : 1.02–1.04], NPDR(OR = 1.03 95% CI: 1.02–1.04),and non-STDR(OR = 1.03, 95% CI: 1.01–1.04) after adjusting for confounders. Increased MOPP(per 1 mmHg) was also associated with an increased likelihood of macular edema(OR = 1.02, 95% CI:1.01–1.04).Conclusions The results suggest that increased MOPP was associated with DR and macular edema in northeastern Chinese patients with T2 DM. | ZHAI Gang LIN Zhong WANG Feng Hua WANG Yu LI Dong WEN Liang DING Xiao Xia JIANG Jing FENG Ke Mi LIANG Yuan Bo XIE Cong | 2020 | Biomedical and Environmental Sciences2020，33，9： | 0 |
| 13 | Nutritional Assessment of Gynecological Cancer Patients in China显示文摘Background Malnutrition is common among cancer patients,but few studies have evaluated the nutritional status among gynecological cancer patients in China.This study aimed to assess the nutritional status of women with gynecological cancer using the patient-generated subjective global assessment(PG-SGA).Methods Data for gynecological cancer patients treated at 44 tertiary hospitals were retrieved from a multicenter study on tumor nutrition.The R Software was used for statistical analyses.Univariate analyses of PG-SGA scores were performed using the Chi-squared test for categorical variables and the Wilcoxon-rank sum test or Kruskal-Wallis test for continuous variables,as appropriate.The significance level was 0.05.Results Data for 1962 women with three types of gynecological cancer(cervical,uterine and ovarian cancer)were used for the data analysis.The median PG-SGA score was 4(interquartile range,IQR:1,8),the median participants’age was 51(IQR:46,59)years old,and the patients had a median BMI of 22.9(IQR:20.7,25.4).The percentages of women who had a medical co-morbidity,or had undergone any radical resection,chemotherapy,or radiotherapy were approximately 27.7%,55.4%,52.5%,and 30.2%,respectively.The levels of serum albumin and high density lipoprotein cholesterol(HDL-C)were 40.1g/L(IQR:36.8,43.1)and 1.2mmol/L(IQR:1.0,1.5),respectively.The identified risk factors for malnutrition based on the PG-SGA score were age(0.05±0.01,p=0.002),BMI(-0.34±0.04,p<0.001),having a medical co-morbidity(0.95±0.33,p=0.004),receiving radiotherapy(1.52±0.31,p<0.001),the serum albumin level(-0.18±0.03,p<0.001),and the HDL-C(-1.12±0.35,p=0.001)as indicated by a linear regression analysis.Conclusions A higher PG-SGA score is positively associated with the age of the patient,having a medical co-morbidity,and receiving radiotherapy,and is negatively related to the patients’BMI and serum albumin and HDL-C levels. | Wen Ying Li Guo Lan Gao Chun Hua Song Chang Wang Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Fu Xiang Zhou Cong Hua Xie Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Ming Hua Cong Jian Xiong Wu Chun Ling Zhou Wei Wang Qi Luo ong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Zhen Ming Fu Hong Xia Xu Wei Li Han Ping Shi Investigation on nutrition status and its clinical outcome of common cancers (INSCOC) group | 2017 | Journal of Nutritional Oncology2017，2，3： | 0 |
| 14 | G protein-coupled receptor 35 attenuates nonalcoholic steatohepatitis by reprogramming cholesterol homeostasis in hepatocytes显示文摘Nonalcoholic fatty liver disease(NAFLD)is the most common chronic liver disease worldwide.Fat accumulation“sensitizes”the liver to insult and leads to nonalcoholic steatohepatitis(NASH).G protein-coupled receptor 35(GPR35)is involved in metabolic stresses,but its role in NAFLD is unknown.We report that hepatocyte GPR35 mitigates NASH by regulating hepatic cholesterol homeostasis.Specifically,we found that GPR35 overexpression in hepatocytes protected against high-fat/cholesterol/fructose(HFCF)diet-induced steatohepatitis,whereas loss of GPR35 had the opposite effect.Administration of the GPR35 agonist kynurenic acid(Kyna)suppressed HFCF diet-induced steatohepatitis in mice.Kyna/GPR35 induced expression of StAR-related lipid transfer protein 4(STARD4)through the ERK1/2 signaling pathway,ultimately resulting in hepatic cholesterol esterification and bile acid synthesis(BAS).The overexpression of STARD4 increased the expression of the BAS rate-limiting enzymes cytochrome P450 family 7 subfamily A member 1(CYP7A1)and CYP8B1,promoting the conversion of cholesterol to bile acid.The protective effect induced by GPR35 overexpression in hepatocytes disappeared in hepatocyte STARD4-knockdown mice.STARD4 overexpression in hepatocytes reversed the aggravation of HFCF diet-induced steatohepatitis caused by the loss of GPR35 expression in hepatocytes in mice.Our findings indicate that the GPR35–STARD4 axis is a promising therapeutic target for NAFLD. | Xiaoli Wei Fan Yin Miaomiao Wu Qianqian Xie Xueqin Zhao Cheng Zhu Ruiqian Xie Chongqing Chen Menghua Liu Xueying Wang Ruixue Ren Guijie Kang Chenwen Zhu Jingjing Cong Hua Wang Xuefu Wang | 2023 | Acta Pharmaceutica Sinica B2023，13，3： | 0 |
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