Prognostic importance of the Scottish inflammatory prognostic score in patients with hepatocellular carcinoma after hepatectomy: a retrospective cohort study

• Published in: BMC cancer Vol. 24; no. 1; pp. 1393 - 11
• Main Authors: Shen, Shuang, Qiu, Xin, Yang, Chenglei, Li, Jindu, Peng, Yi, Wen, Zhaochan, Luo, Huili, Xiang, Bangde
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 12.11.2024; BioMed Central; BMC
• Subjects: Adult; Aged; Ascites; Biomarkers; Cancer; Cancer patients; Cancer therapies; Carcinoma, Hepatocellular - mortality; Carcinoma, Hepatocellular - pathology; Carcinoma, Hepatocellular - surgery; Care and treatment; Clinical medicine; Decision making; Development and progression; Discriminant analysis; Female; Health aspects; Hepatectomy; Hepatocellular carcinoma; Hepatoma; Hospitals; Humans; Inflammation; Learning algorithms; Liver cancer; Liver cirrhosis; Liver Neoplasms - mortality; Liver Neoplasms - pathology; Liver Neoplasms - surgery; Machine learning; Male; Malnutrition; Medical prognosis; Medical research; Metastasis; Methods; Middle Aged; Mortality; Neutrophils; Oncology, Experimental; Patient outcomes; Patients; Prevention; Prognosis; Prognostic biomarkers; Propensity Score; Propensity score matching (PSM); Proportional Hazards Models; Regression analysis; Retrospective Studies; Risk factors; Scottish inflammatory prognostic score (SIPS); Survival; Survival analysis; United Kingdom; Prognostic biomarkers; Hepatocellular carcinoma; Scottish inflammatory prognostic score (SIPS); Propensity score matching (PSM); Machine learning; Hepatectomy

The Scottish Inflammatory Prognostic Score (SIPS), an innovative scoring system, has emerged as a promising biomarker for predicting patient outcomes following cancer therapy. This study aimed to evaluate the value of SIPS as a prognostic indicator following hepatectomy in patients with hepatocellul...