| Literature DB >> 30264504 |
Yan Xu1, Li Zhang1, Jian Fang2, Ziping Wang3, Junling Li4, Lin Li5, Bin Ai5, Ligong Nie6, Xinlin Mu7, Li Liang8, Shucai Zhang9, Yuhui Zhang10, Yuguang Song11, Xia Song12, Ye Wang13, Tao Xin14, Bo Jin15, Xiaohong Wang16, Cuimin Ding17, Mengzhao Wang1.
Abstract
The CAPTRA-Lung study (NCT03334864) is a prospective observational study that will capture real-world data of patients with advanced or metastatic non-small cell lung cancer (NSCLC) across China. The study aims to complement the results from current therapeutic regimens to improve the standard of diagnosis and treatment, evaluate the effectiveness and safety of systemic therapy, and determine the factors influencing the outcomes and responses to treatment. From January 2018 to December 2023, eligible patients with advanced or metastatic NSCLC who are receiving treatment and participating in follow-up at 16 institutions in China, will be enrolled. The demographic, clinical, laboratory, and treatment characteristics and responses to treatment will be recorded in a case report form and transcribed into an electronic data capture system. Overall survival, progression-free survival, overall response rate, and incidence of adverse events will be calculated from the time of initial enrolment until progression evaluated by physicians, last contact, date of death, or analysis cutoff date, respectively. Based on the disease characteristics and treatment strategies, four sub-cohorts will also be established. This study cohort could serve as a pool of patients with advanced or metastatic NSCLC to support further research.Entities:
Keywords: Multicenter real-world study; non-small cell lung cancer; prospective observational cohort
Mesh:
Year: 2018 PMID: 30264504 PMCID: PMC6275840 DOI: 10.1111/1759-7714.12865
Source DB: PubMed Journal: Thorac Cancer ISSN: 1759-7706 Impact factor: 3.500
Figure 1Study timeline and milestones.
Figure 2Flowchart for data collection and quality control. CRA, clinical research assistant; CRC, clinical research coordinator; CRF, case report form; DM, data manager; PI, principal investigator.