单位:[1]Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.华中科技大学同济医学院附属同济医院外科学系甲状腺乳腺外科[2]Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.[3]Center on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, University of Texas Health Science Center, San Antonio, TX, United States.
The work is partly supported by research grants from National
Nature Science Foundation of China (Nos. 81872160,
82072940, 82103047, 82102887, and 81802676), Beijing
Nature Science Foundation of China (Nos. 7191009 and
7204293), National Key Research and Development Program
of China (No. 2018YFC1312100), China National Key Research
and Development Program (Nos. 2020AAA0105000 and
2020AAA0105004), Special Research Fund for Central
Universities, Peking Union Medical College (No. 3332019053),
Beijing Hope Run Special Fund of Cancer Foundation of
China (Nos. LC2020L01, LC2019B03, and LC2019L07),
Wuhan Youth Cadre Project (Nos. 2017zqnlxr01 and
2017zqnlxr02), Clinical Research Physician Program of
Tongji Medical College HUST (No. 5001540018), Golden
Bridge Project Seed Fund of Beijing Association for Science
and Technology (No. ZZ20004), Chinese Young Breast Experts
Research project (No. CYBER-2021-005), 2021 Chaoyang
District Social Development Science and Technology Plan
Project (No. CYSF2115), Beijing Xisike Clinical Oncology
Research Foundation (No. Y-Young2021-0017), and XianSheng
Clinical Research Special Fund of China International Medical
Foundation (No. Z-2014-06-2103).
第一作者单位:[1]Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.[2]Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
Chen Li,Qi Yihang,Kong Xiangyi,et al.Nutritional Risk Index Predicts Survival in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy.[J].FRONTIERS IN NUTRITION.2022,8:786742.doi:10.3389/fnut.2021.786742.
APA:
Chen Li,Qi Yihang,Kong Xiangyi,Su Zhaohui,Wang Zhongzhao...&Wang Jing.(2022).Nutritional Risk Index Predicts Survival in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy..FRONTIERS IN NUTRITION,8,
MLA:
Chen Li,et al."Nutritional Risk Index Predicts Survival in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy.".FRONTIERS IN NUTRITION 8.(2022)