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. 2025 Apr 7;31(13):104205.
doi: 10.3748/wjg.v31.i13.104205.

Towards personalized care in minimally invasive esophageal surgery: An adverse events prediction model

Ioannis Karniadakis  1 , Alexandra Argyrou  2 , Stamatina Vogli  3 , Stavros P Papadakos  4
Affiliations

Towards personalized care in minimally invasive esophageal surgery: An adverse events prediction model

Ioannis Karniadakis et al. World J Gastroenterol. .

Abstract

This letter addressed the impactful study by Zhong et al, which introduced a risk prediction and stratification model for surgical adverse events following minimally invasive esophagectomy. By identifying key risk factors such as chronic obstructive pulmonary disease and hypoalbuminemia, the model demonstrated strong predictive accuracy and offered a pathway to personalized perioperative care. This correspondence highlighted the clinical significance, emphasizing its potential to optimize patient outcomes through tailored interventions. Further prospective validation and application across diverse settings are essential to realize its full potential in advancing esophageal surgery practices.

Keywords: Esophageal surgery; Hypoalbuminemia; Minimally invasive esophagectomy; Personalized perioperative care; Predictive accuracy; Risk prediction model; Risk stratification; Surgical adverse events; Tailored interventions.

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Conflict of interest statement

Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.

References

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