The present study incorporated pathological T stage, pathological N factor, rate of positive LNs, history of COPD, and postoperative sepsis into a nomogram to predict the OS and DFS of ESCC patients. This practical system may help clinicians in both decision-making and clinical study design. The assessment of lung function for patients with COPD preoperative, and the control of disease progression are needed. Furthermore, the postoperative infection of patients should be controlled. Further studies may help to extend the validation of this method and improve the model through parameter optimization.
Keyphrases
- lung function
- end stage renal disease
- squamous cell carcinoma
- chronic obstructive pulmonary disease
- chronic kidney disease
- ejection fraction
- newly diagnosed
- prognostic factors
- decision making
- cystic fibrosis
- intensive care unit
- acute kidney injury
- palliative care
- radiation therapy
- patient reported outcomes
- patient reported
- rectal cancer
- clinical evaluation