A machine learning model predicting candidates for surgical treatment modality in patients with distant metastatic esophageal adenocarcinoma: a propensity score-matched analysis

HIGHLIGHTS

• who: Fang Liao from the Sun Yat-sen University Cancer Center (SYSUCC), China have published the research: A machine learning model predicting candidates for surgical treatment modality in patients with distant metastatic esophageal adenocarcinoma: A propensity score-matched analysis, in the Journal: (JOURNAL)
• what: These treatment applications in such patients are largely palliative, with the main focus and goals of improving quality of life and reducing cancer-related symptoms.
• how: The authors conducted a 14 propensity score-matched analysis using a population-based cancer database to determine the role of surgical treatment modality . . .
  

   

  

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