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Hepatocellular Carcinoma Transplant Criteria Show Poor Negative Predictive Value: A Systematic Review and
Laura P Frazão1, Margarida C Quaresma1, José B Pereira-Leal1
1Ophiomics-Precision Medicine, 1600-514 Lisboa, Portugal.
Current criteria for selecting liver transplantation (LT) candidates with hepatocellular carcinoma (HCC) are poor at identifying high-risk patients. New criteria are urgently needed to improve patient selection for LT.
Area of Science:
- Hepatobiliary Surgery
- Transplant Immunology
- Oncology
Background:
- Hepatocellular carcinoma (HCC) patient selection for liver transplantation (LT) relies on multiple global criteria.
- Accurate identification of HCC patients at high risk of recurrence post-LT remains a challenge for stakeholders.
- Existing criteria's efficacy in identifying high-risk HCC patients for LT needs critical evaluation.
Purpose of the Study:
- To identify the most accurate criteria for selecting hepatocellular carcinoma (HCC) patients eligible for liver transplantation (LT).
- To evaluate the diagnostic performance of current LT selection criteria for HCC patients.
- To address ethical concerns regarding the exclusion of potential LT candidates based on current criteria.
Main Methods:
- Systematic literature search in PubMed and CENTRAL databases (June 2023).
- Data extraction from recurrence-free survival curves using a validated algorithm.
- Calculation of diagnostic performance measures, adhering to PRISMA guidelines.
Main Results:
- Seventeen studies met inclusion criteria, evaluating 14 distinct LT selection criteria for HCC.
- All criteria demonstrated high adjusted positive predictive values (>80%) for selecting low-risk HCC patients.
- Most criteria showed low adjusted negative predictive values (<50%), failing to accurately identify high-risk HCC patients for LT.
Conclusions:
- Current LT selection criteria for HCC patients exhibit limitations in accurately identifying high-risk individuals.
- There is an urgent need for refined or novel criteria with improved specificity and negative predictive value.
- Enhanced criteria could enable the selection of more suitable LT candidates currently excluded.
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