Yun Qian
Sir Run Run Shaw Hospital
6 Papers
3 Citations
Yun Qian is an academic researcher from Sir Run Run Shaw Hospital. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 1, co-authored 3 publications.
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Papers
Preoperative Controlling Nutritional Status (CONUT) score predicts short-term outcomes of patients with gastric cancer after laparoscopy-assisted radical gastrectomy.
Yun Qian,Huaying Liu,Junhai Pan,Wei-hua Yu,Jiemin Lv,Jia-Fei Yan,Jia-Qi Gao,Xian-Fa Wang,Xiaolong Ge,Wei Zhou +9 more
TL;DR: The preoperative CONUT score is a reliable and useful nutritional assessment tool for predicting short-term outcomes in GC patients after laparoscopy-assisted gastrectomy.
Polarity-regulated derivatization-assisted LC-MS method for amino-containing metabolites profiling in gastric cancer
TL;DR: In this article , a polarity-regulated derivatization method coupled with liquid chromatography-mass spectrometry (LC-MS) was used for amino-containing metabolites profiling in the serum samples of patients with gastric cancer and healthy controls.
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Creatinine-to-cystatin C ratio as a marker of skeletal muscle mass for predicting postoperative complications in patients undergoing gastric cancer surgery
Jia-Qi Gao,Huiping Liang,Yun Qian,Junhai Pan,Wei Liu,Weilin Qi,Wei Zhou,Xiaolong Ge,Xian-Fa Wang +8 more
TL;DR: In this article, the authors explored the ability of the preoperative CCR to predict postoperative complications in patients with gastric cancer, and the optimal cutoff value of the CCR was found to be 7.117.
A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.
Xin Zhong,Feichao Xuan,Yun Qian,Junhai Pan,Suihan Wang,Wenchao Chen,Tianyu Lin,Hepan Zhu,Xian-Fa Wang,Guanyu Wang +9 more
TL;DR: In this paper, a genomic signature based model was developed to predict the possibility of lymph node (LN) metastasis in Gastric Cancer (GC) patients using RNA profile retrieving strategy and performed RNA expression profiling.
Survival of 48866 cancer patients: results from Nantong area, China
Gao-Ren Wang,Hong Xu,Hai-Zhen Chen,Yong-sheng Chen,Z. Ni,L. Fan,A. Zhang,Peirong Xu,Yun Qian,Bo Cai,Jianguo Chen +10 more
TL;DR: Overall survival improved over the years, although the improvement at some sites was not significant, and the observed survival varies from region to region, reflecting differences in the patterns of major sites, disparities in proportions of hospitalization, and demographic characteristics.