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Dataset Information

Risk Prediction Model of 90-Day Mortality After Esophagectomy for Cancer.


ABSTRACT:

Importance

Ninety-day mortality rates after esophagectomy are an indicator of the quality of surgical oncologic management. Accurate risk prediction based on large data sets may aid patients and surgeons in making informed decisions.

Objective

To develop and validate a risk prediction model of death within 90 days after esophagectomy for cancer using the International Esodata Study Group (IESG) database, the largest existing prospective, multicenter cohort reporting standardized postoperative outcomes.

Design, setting, and participants

In this diagnostic/prognostic study, we performed a retrospective analysis of patients from 39 institutions in 19 countries between January 1, 2015, and December 31, 2019. Patients with esophageal cancer were randomly assigned to develo

SUBMITTER: D'Journo XB 

PROVIDER: S-EPMC8223144 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature