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Navigating the landscape of liver cancer management: Study designs in clinical trials and clinical practice

Giuseppe Cabibbo*, Ciro Celsa, Lorenza Rimassa, Ferran Torres, Jordi Rimola, Roman Kloeckner, Jordi Bruix, Calogero Cammà, Maria Reig

*Corresponding author for this work

Abstract

Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer death worldwide and its prognosis is highly heterogeneous, being related not only to tumour burden but also to the severity of underlying chronic liver disease. Moreover, advances in systemic therapies for HCC have increased the complexity of patient management. Randomised-controlled trials represent the gold standard for evidence generation across all areas of medicine and especially in the oncology field, as they allow for unbiased estimates of treatment effect without confounders. Observational studies have many problems that could reduce their internal and external validity. However, large prospective (well-conducted) observational real-world studies can detect rare adverse events or monitor the occurrence of long-term adverse events. How best to harness real world data, which refers to data generated from the routine care of patients, and real-world ‘evidence’, which is the evidence generated from real-world data, represents an open challenge. In this review article, we aim to provide an overview of the benefits and limitations of different study designs, particularly focusing on randomised-controlled trials and observational studies, to address important and not fully resolved questions in HCC research.

Original languageEnglish
JournalJournal of Hepatology
Volume80
Issue number6
Pages (from-to)957-966
Number of pages10
ISSN0168-8278
DOIs
Publication statusPublished - 06.2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Areas and Centers

  • Academic Focus: Biomedical Engineering
  • Research Area: Luebeck Integrated Oncology Network (LION)

DFG Research Classification Scheme

  • 2.22-33 Nuclear Medicine, Radiotherapy, Radiobiology
  • 2.22-32 Medical Physics, Biomedical Technology
  • 2.22-14 Hematology, Oncology

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