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Dataset Information

Development of a Clinical Prediction Model for Anastomotic Leakage in Colorectal Surgery.


ABSTRACT:

Importance

Anastomotic leakage is a severe complication after colorectal surgery that can significantly affect clinical outcomes and patient prognosis. Although multiple risk factors for anastomotic leakage have been identified, predicting the incidence of anastomotic leakage remains difficult.

Objective

To develop a machine learning predictive model that combines logits from different base models to predict the incidence of anastomotic leakage more accurately.

Design, setting, and participants

This retrospective prognostic study was conducted across 13 centers in Europe and North America between January 1, 2012, and December 31, 2020, and with data from the European Society of Coloproctology (ESCP). The study population included patients 18 years or older who underwe

SUBMITTER: Ochs V 

PROVIDER: S-EPMC12538359 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature