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Clinical Trial Summary

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.


Clinical Trial Description

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 Design


Related Conditions & MeSH terms


NCT number NCT06045715
Study type Observational
Source Sun Yat-sen University
Contact
Status Active, not recruiting
Phase
Start date August 20, 2022
Completion date December 2023

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