Existing preoperative risk prediction models and scales have improved with AI but no ideal tool yet exists for predicting mortality after esophageal cancer surgery.
This literature review evaluates the validity of preoperative scales and models for predicting postoperative mortality and complications in patients undergoing esophagectomy.
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Today, maximum effectiveness in treating patients with esophageal cancer is achieved by reducing surgical complications and mortality. Proper selection of patients for surgical treatment is the most promising way to reduce complications and mortality. A clear understanding of the relationship between various risk factors and postoperative complications in the future will allow for a more careful approach to patient selection, counseling, and ultimately, high-quality preparation for surgery. Over the past few decades, many scales have been proposed in general surgery and oncosurgery to predict mortality. Significant progress has been made in developing models through the improvement of mathematical algorithms, automation of information systems, and the use of artificial intelligence systems, but the ideal tool does not yet exist. In the presented literature review, a search was conducted for the most valid preoperative scales for predicting the risks of postoperative mortality in patients after esophagectomy.
Salimzyanov et al. (Fri,) reported a other. Existing preoperative risk prediction models and scales have improved with AI but no ideal tool yet exists for predicting mortality after esophageal cancer surgery.