This study is a multi-center, observational, real-world study for patients with resected lung cancers in China. With the help of a properly designed data processing algorithm and extensively performed data quality assurance, this study aims to harness the potential of real-world big data to (1) describe characteristics and treatment patterns and their evolving trends; (2) discover features associated with overall survival; and (3) address recently-emerging clinical questions.
Age above 18.
Have received surgical resection for lung malignancies.
Participants whose data are of low quality, poor completeness or poor internal linkage.
Participants eligible for this study would be screened from consecutive patients who received surgical resection for lung malignancies in participating medical centers during the designed study period.
Cohort
Other
Not listed
Overall survival
Time from surgery to death from any cause.
Baseline characteristics of included participants
Demographics, symptoms at diagnosis, tobacco exposure, family history, previous medical history, etc.
Treatment patterns of included participants
Extent of lung resection and lymph node dissection, application of certain surgical techniques or not; application of chemotherapy, targeted therapy, immunotherapy and/or radiotherapy before and/or after surgery.
Pathological characteristics of included participants
Location, size, classification, presence or absence of certain pathological features of resected tumor(s); number of metastasized and dissected lymph nodes in each station.
Features associated with overall survival
Features within the range of collected baseline characteristics, treatment patterns and pathological characteristics that are associated with overall survival.
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