Development and validation of a nomogram to predict anastomotic leakage after esophagectomy for esophageal carcinoma.

ABSTRACT:

Background

This study aimed to identify variables associated with anastomotic leakage after esophagectomy and established a tool for anastomotic leakage prediction.

Methods

Twenty-six preoperative and postoperative variables were retrospectively collected from esophageal cancer patients who were treated with radical esophagectomy from January 2018 to June 2020 in the Affiliated Hospital of Qingdao University. SPSS Version 23.0 and Empower Stats software were used for establishing a nomogram after screening relevant variables by univariate and multivariate Logistic regression analyses. The established nomogram was identified by depicting the receiver operating characteristic (ROC) curves and calibration curve, which was verified by 1,000 bootstrap resamples method.

Results

SUBMITTER: Yu WQ 

PROVIDER: S-EPMC8264723 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature