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vely registered, UMIN-CTR number UMIN000011486). https//upload.umin.ac.jp/cgi-open-bin/ctr/ctr.cgi?function=browsrecptno=R000013441language=J. An accurate intraoperative prediction of lymph node metastatic risk can help surgeons in choosing precise surgical procedures. We aimed to develop and validate nomograms to intraoperatively predict patterns of regional lymph node (LN) metastasis in patients with esophageal cancer. The prediction model was developed in a training cohort consisting of 487 patients diagnosed with esophagea