Fig. 1: ROC curves of CAGIB score, Child-Pugh score, MELD-Na score, MELD 3.0 score, D’Amico model, and Augustin model for predicting the risk of in-hospital death in patients with cirrhosis and acute gastrointestinal bleeding in the training cohort. | npj Digital Medicine

Fig. 1: ROC curves of CAGIB score, Child-Pugh score, MELD-Na score, MELD 3.0 score, D’Amico model, and Augustin model for predicting the risk of in-hospital death in patients with cirrhosis and acute gastrointestinal bleeding in the training cohort.

From: Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding

Fig. 1

a All patients; b Patients with variceal bleeding; c Patients who underwent endoscopic treatment; d Patients who received pharmacological treatment alone without endoscopic treatment. The performance of CAGIB score for predicting in-hospital death was statistically similar to that of Child-Pugh, MELD-Na, MELD 3.0, D’Amico, and Augustin scores both in overall and subgroup analyses.

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