The recurrence risk of patients with esophageal cancer was stratified by integrating different stages and pathological factors. The risk of recurrence was dynamically estimated for each group of patients, and the optimal follow-up strategy was developed based on the recurrence risk.
Patients with histologically proven, esophageal cancer (EC) patients diagnosed between 2008 and 2018 were recruited. Recursive partition analysis was applied to develop recurrence risk stratification for patients. The follow-up strategies of each stratification were developed based on monthly recurrence probability and validated by bootstrap validation and an external dataset. Markov decision-analytic models were constructed to evaluate the cost-effectiveness of the follow-up strategies.
Study Type
OBSERVATIONAL
Enrollment
3,000
After radical surgery, patients are followed up with different time intervals
Jianhua Fu
Guangzhou, Guangdong, China
disease-free survival
disease-free survival
Time frame: 2008-2020
local relapse-free survival
Time frame: 2008-2020
distant metastasis-free survival
Time frame: 2008-2020
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