Predictive models improve outcomes for liver cancer patients

The development of predictive models for postoperative complications and prognosis significantly aids patients with hepatocellular carcinoma combined with clinically significant portal hypertension (CSHP). Researchers identified key risk factors—including ALBI grade and portal vein occlusion time—and created nomograms demonstrating good predictive performance. These models achieved c-index values of 0.723 for complications, 0.635 for recurrence, and 0.734 for overall survival, offering clinicians valuable tools for enhancing patient management and outcomes post-liver resection.