Background/aim: Prognosis assessment in surgical patients with hepatocellular carcinoma (HCC) remains controversial. The most widely used HCC prognostic tool is the Barcelona Clinic Liver Cancer (BCLC) classification, but its prognostic ability in surgical patients has not been yet validated. The aim of this study was to investigate the value of known prognostic systems in 400 Italian HCC patients treated with radical surgical therapies.

Methods: We analyzed a prospective database collection (400 surgical, 315 nonsurgical patients) observed at a single institution from 2000 and 2007. By using survival times as the only outcome measure (Kaplan-Meier method and Cox regression), the performance of the BCLC classification was compared with that of Okuda, Cancer of the Liver Italian Program, United Network for Organ sharing TNM, and Japan Integrated Staging Score staging systems.

Results: Two hundred twenty-five patients underwent laparotomy resection; 55, laparoscopic procedures (ablation and/or resection); and 120, liver transplantations. In the surgical group, BCLC proved the best HCC prognostic system. Three-year survival rates of patients in BCLC Stages A, B, and C were 81%, 56%, and 44% respectively, (P < .01); whereas all other tested staging systems did not show significant stratification ability. When all 715 HCC patients were considered, surgery proved to be a significant survival predictor in each BCLC stage (A, B, and C).

Conclusions: BCLC staging showed the best interpretation of the survival distribution in a surgical HCC population. The BCLC treatment algorithm should consider the role of surgery also for intermediate-advanced stages of liver disease.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.transproceed.2009.03.054DOI Listing

Publication Analysis

Top Keywords

prognostic system
8
patients
8
surgical patients
8
hcc prognostic
8
bclc classification
8
hcc patients
8
surgical
7
bclc
7
hcc
6
prognostic
5

Similar Publications

Tumor-infiltrating lymphocytes (TILs) are a protective prognostic factor in several solid tumors and predict response to immune checkpoint inhibitor therapy. The prognostic impact of TILs in medullary thyroid cancer (MTC) is poorly understood. In this retrospective cohort study, we assessed the TILs profile of primary MTC tumors using the International TILs Working Group system and correlated this with clinicopathological prognostic variables, including the International Medullary Thyroid Cancer Grading System (IMTCGS) grade and survival outcomes.

View Article and Find Full Text PDF

According to the International League Against Epilepsy (ILAE) 2015 classification, status epilepticus (SE) is a seizure that lasts longer than 5 min or a frequency of more than one seizure within 5 min, without returning to a normal level of consciousness between episodes. In this study, we aimed to evaluate the prognostic factors of SE and compare our patients with those of patients treated internationally with the modified status epilepticus severity score (mSTESS) to determine the reliability of this scoring system. The medical records of patients aged 1 month-17 years with SE who were treated at Çukurova University-Balcalı Training and Research Hospital between September 2018 and September 2021 and who were followed in the intensive care unit were included in the study.

View Article and Find Full Text PDF

Background: The presence of level IV/V metastasis is a significant prognostic factor for patients with oral and oropharyngeal cancer, while level IV lymphadenopathy defines the N3 stage in nasopharyngeal carcinoma. However, the current staging system for hypopharyngeal squamous cell carcinoma (HPSCC) does not consider the location of involved nodes.

Objectives: To evaluate the risk factors and prognostic impact of level IV/V metastasis in patients with HPSCC.

View Article and Find Full Text PDF

Background And Aims: Neuro-ischemic ulcers (NIU) present a substantial clinical and economic burden on the healthcare systems. This study aims to evaluate their healing rate, associated healthcare resource utilization, and prognostic factors influencing healing.

Methods: Consecutive patients attended specialist clinics or admitted to wards in three tertiary hospitals for new or existing NIUs from November 2019 to November 2021 were eligible for this study.

View Article and Find Full Text PDF

Prediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a novel approach to standard statistical estimation leveraging machine learning systems to enhance unlabeled data with predictions. We use this paradigm in clinical trials. The predictions are provided by disease progression models, providing prognostic scores for all the participants as a function of baseline covariates.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!