The Clinical Application Value of the Prognostic Nutritional Index for the Overall Survival Prognosis of Patients with Esophageal Cancer: A Robust Real-World Observational Study in China
机构:[1]Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Foshan 528000, China[2]Department of Clinical Laboratory, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China四川省人民医院四川省肿瘤医院[3]Department of Clinical Laboratory, Guangyuan Central Hospital, Guangyuan 628099, China[4]Department of Laboratory Medicine, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China四川省人民医院[5]Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610041, China四川省人民医院四川省肿瘤医院
This study was supported by the Health and Family Planning
Commission of Sichuan Province universal application
project (grant number 20PJ115) and the Science and Technology
Bureau of Chengdu technological innovation project
(grant number 2019-YF05-01279-SN).
第一作者机构:[1]Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Maternity & Child Healthcare Hospital), Foshan 528000, China
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
Kang Juanjuan,Yang Guishu,Wang Dongsheng,et al.The Clinical Application Value of the Prognostic Nutritional Index for the Overall Survival Prognosis of Patients with Esophageal Cancer: A Robust Real-World Observational Study in China[J].COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE.2022,2022:doi:10.1155/2022/3889588.
APA:
Kang Juanjuan,Yang Guishu,Wang Dongsheng,Lin Ying,Wang Qifeng&Luo Huaichao.(2022).The Clinical Application Value of the Prognostic Nutritional Index for the Overall Survival Prognosis of Patients with Esophageal Cancer: A Robust Real-World Observational Study in China.COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE,2022,
MLA:
Kang Juanjuan,et al."The Clinical Application Value of the Prognostic Nutritional Index for the Overall Survival Prognosis of Patients with Esophageal Cancer: A Robust Real-World Observational Study in China".COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022.(2022)