Standard-Protocol-Guideline
Interpretation for the group standards in technical specification of long-term follow-up for end point in large population-based cohort study
Gong Weiwei, Yu Min, Guo Yu, Wang Meng, Lyu Jun, Yu Canqing, Bian Zheng, Wang Hao, Tan Yunlong, Pei Pei, Li Liming
Published 2019-07-10
Cite as Chin J Epidemiol, 2019, 40(7): 756-758. DOI: 10.3760/cma.j.issn.0254-6450.2019.07.004
Abstract
Long-term follow-up for end point is an extremely important and arduous task in large population-based cohort studies, which is also the key to the success of large cohort studies. Thus, the fundamental question of the achievements above is how to construct a large population- based cohort in a standardized way. The Chinese Preventive Medicine Association coordinated experienced researchers from Zhejiang Provincial Center for Disease Control and Prevention and other professional institutes to write up the group standard entitled Technical specification of long-term follow-up for end point in large population-based cohort study (T/CPMA 002-2019). The standard is drafted with principles of emphasizing the scientific, normative, applicability, and feasible nature. This group standard recommended the follow-up target population, time, content, methods, quality control, and indicators assessment. The standard aims to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
Key words:
Large population-based cohort; End point; Long-term follow-up; Technical specification; Group standard
Contributor Information
Gong Weiwei
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
Yu Min
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
Guo Yu
Chinese Academy of Medical Sciences, Beijing 100730, China
Wang Meng
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
Lyu Jun
Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing 100191, China
Yu Canqing
Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing 100191, China
Bian Zheng
Chinese Academy of Medical Sciences, Beijing 100730, China
Wang Hao
Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
Tan Yunlong
Chinese Academy of Medical Sciences, Beijing 100730, China
Pei Pei
Chinese Academy of Medical Sciences, Beijing 100730, China
Li Liming
Department of Epidemiology, School of Public Health, Peking University Health Science Center, Beijing 100191, China