z-logo
open-access-imgOpen Access
An esophagectomy Surgical Apgar Score (eSAS)-based nomogram for predicting major morbidity in patients with esophageal carcinoma
Author(s) -
Yong Xi,
Weiyu Shen,
Lijie Wang,
Chaoqun Yu
Publication year - 2020
Publication title -
translational cancer research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 2219-6803
pISSN - 2218-676X
DOI - 10.21037/tcr.2020.02.56
Subject(s) - nomogram , medicine , esophagectomy , esophageal cancer , malignancy , logistic regression , perioperative , receiver operating characteristic , surgery , complication , general surgery , cancer
Esophageal carcinoma is the seventh leading diagnosed malignancy worldwide, accounting for more than 450,000 new esophageal cancer cases (1). Esophagectomy with radical lymphadenectomy is a vital component of the treatment paradigm for such patients. Despite advances in treatment modalities and perioperative care, esophagectomy remains an operation with a relatively high risk of postoperative complications (2-4). In addition, various preoperative influences have been shown to affect Original Article

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom