Predictive model enhances surgical planning for advanced gastric cancer

A new predictive model developed for assessing surgical difficulty in distal gastrectomy for advanced gastric carcinoma shows promise. An analysis of 520 patients revealed seven independent risk factors, including BMI and tumor size. The model achieved an impressive area under the curve (AUC) of 0.787, indicating strong predictive accuracy. This tool aims to aid surgeons in identifying high-risk patients prior to surgery, facilitating better operational planning and potentially improving outcomes.

Journal Article by Yu H, Liao H (…) Yuan Y et 3 al. in Surg Endosc

© 2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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