SCORING MODELS FOR PREDICTING HEPATOCELLULAR CARCINOMA RISK IN HCV PATIENTS AFTER ANTIVIRAL THERAPY
Hepatitis C virus (HCV) infection is a major global health concern, with a significant risk of developing hepatocellular carcinoma (HCC) in infected individuals. The advent of oral antiviral therapy has revolutionized the management of HCV, achieving sustained virologic response (SVR) rates and redu...
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| Format: | Article |
| Language: | English |
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Romanian Society of Oral Rehabilitation
2023-10-01
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| Series: | Romanian Journal of Oral Rehabilitation |
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| Online Access: | https://rjor.ro/scoring-models-for-predicting-hepatocellular-carcinoma-risk-in-hcv-patients-after-antiviral-therapy/ |
| _version_ | 1797663361157038080 |
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| author | Oana Irina Gavril Cristina Iordache Magda-Ecaterina Antohe Codrina Ancuța Radu Sebastian Gavril Irina Mihaela Esanu |
| author_facet | Oana Irina Gavril Cristina Iordache Magda-Ecaterina Antohe Codrina Ancuța Radu Sebastian Gavril Irina Mihaela Esanu |
| author_sort | Oana Irina Gavril |
| collection | DOAJ |
| description | Hepatitis C virus (HCV) infection is a major global health concern, with a significant risk of developing hepatocellular carcinoma (HCC) in infected individuals. The advent of oral antiviral therapy has revolutionized the management of HCV, achieving sustained virologic response (SVR) rates and reducing the risk of HCC. However, some patients still remain at risk for HCC even after successful antiviral treatment. Scoring systems have emerged as valuable tools to predict HCC risk and assist in post-treatment surveillance. This review aims to summarize and evaluate the existing scoring systems developed to assess HCC risk in HCV patients after oral antiviral therapy. We systematically searched relevant databases for published articles. We included studies that focused on the development, validation, and clinical application of scoring models for HCC risk prediction. We identified scoring systems, utilizing different variables such as demographic data, liver function tests, imaging findings, and genetic markers. We discuss the strengths and limitations of each scoring system and compare their predictive accuracy. Furthermore, we explore the potential for combining multiple scoring models to enhance risk stratification. The findings of this review highlight the utility of scoring systems in identifying patients at higher risk of developing HCC despite achieving SVR with oral antiviral therapy. Additionally, we discuss the implications of these scoring systems for clinical practice, risk stratification, and long-term surveillance of HCV patients. In conclusion, scoring systems offer a valuable approach to estimate the risk of HCC in HCV patients post oral antiviral treatment. A better understanding of these scoring models will help clinicians in tailored follow-up strategies and early detection of HCC, ultimately improving patient outcomes. Further research is needed to refine and validate these scoring systems in different populations and to explore their potential inclusion into clinical guidelines. |
| first_indexed | 2024-03-11T19:13:23Z |
| format | Article |
| id | doaj.art-b284a83518334cedaca99e2f244f1be3 |
| institution | Directory Open Access Journal |
| issn | 2066-7000 2601-4661 |
| language | English |
| last_indexed | 2024-03-11T19:13:23Z |
| publishDate | 2023-10-01 |
| publisher | Romanian Society of Oral Rehabilitation |
| record_format | Article |
| series | Romanian Journal of Oral Rehabilitation |
| spelling | doaj.art-b284a83518334cedaca99e2f244f1be32023-10-09T09:22:13ZengRomanian Society of Oral RehabilitationRomanian Journal of Oral Rehabilitation2066-70002601-46612023-10-01153SCORING MODELS FOR PREDICTING HEPATOCELLULAR CARCINOMA RISK IN HCV PATIENTS AFTER ANTIVIRAL THERAPYOana Irina Gavril0Cristina Iordache1Magda-Ecaterina Antohe2Codrina Ancuța3Radu Sebastian Gavril4Irina Mihaela Esanu5 “Grigore T. Popa” University of Medicine and Pharmacy, Faculty of Medicine, Iași, 700115, Romania“Grigore T. Popa” University of Medicine and Pharmacy, Faculty of Dental Medicine, Iași, 700115, Romania“Grigore T. Popa” University of Medicine and Pharmacy, Faculty of Dental Medicine, Iași, 700115, Romania “Grigore T. Popa” University of Medicine and Pharmacy, Faculty of Medicine, Iași, 700115, Romania “Grigore T. Popa” University of Medicine and Pharmacy, Faculty of Medicine, Iași, 700115, Romania “Grigore T. Popa” University of Medicine and Pharmacy, Faculty of Medicine, Iași, 700115, RomaniaHepatitis C virus (HCV) infection is a major global health concern, with a significant risk of developing hepatocellular carcinoma (HCC) in infected individuals. The advent of oral antiviral therapy has revolutionized the management of HCV, achieving sustained virologic response (SVR) rates and reducing the risk of HCC. However, some patients still remain at risk for HCC even after successful antiviral treatment. Scoring systems have emerged as valuable tools to predict HCC risk and assist in post-treatment surveillance. This review aims to summarize and evaluate the existing scoring systems developed to assess HCC risk in HCV patients after oral antiviral therapy. We systematically searched relevant databases for published articles. We included studies that focused on the development, validation, and clinical application of scoring models for HCC risk prediction. We identified scoring systems, utilizing different variables such as demographic data, liver function tests, imaging findings, and genetic markers. We discuss the strengths and limitations of each scoring system and compare their predictive accuracy. Furthermore, we explore the potential for combining multiple scoring models to enhance risk stratification. The findings of this review highlight the utility of scoring systems in identifying patients at higher risk of developing HCC despite achieving SVR with oral antiviral therapy. Additionally, we discuss the implications of these scoring systems for clinical practice, risk stratification, and long-term surveillance of HCV patients. In conclusion, scoring systems offer a valuable approach to estimate the risk of HCC in HCV patients post oral antiviral treatment. A better understanding of these scoring models will help clinicians in tailored follow-up strategies and early detection of HCC, ultimately improving patient outcomes. Further research is needed to refine and validate these scoring systems in different populations and to explore their potential inclusion into clinical guidelines.https://rjor.ro/scoring-models-for-predicting-hepatocellular-carcinoma-risk-in-hcv-patients-after-antiviral-therapy/hepatitis c virushepatocellular carcinomasustained virologic response |
| spellingShingle | Oana Irina Gavril Cristina Iordache Magda-Ecaterina Antohe Codrina Ancuța Radu Sebastian Gavril Irina Mihaela Esanu SCORING MODELS FOR PREDICTING HEPATOCELLULAR CARCINOMA RISK IN HCV PATIENTS AFTER ANTIVIRAL THERAPY Romanian Journal of Oral Rehabilitation hepatitis c virus hepatocellular carcinoma sustained virologic response |
| title | SCORING MODELS FOR PREDICTING HEPATOCELLULAR CARCINOMA RISK IN HCV PATIENTS AFTER ANTIVIRAL THERAPY |
| title_full | SCORING MODELS FOR PREDICTING HEPATOCELLULAR CARCINOMA RISK IN HCV PATIENTS AFTER ANTIVIRAL THERAPY |
| title_fullStr | SCORING MODELS FOR PREDICTING HEPATOCELLULAR CARCINOMA RISK IN HCV PATIENTS AFTER ANTIVIRAL THERAPY |
| title_full_unstemmed | SCORING MODELS FOR PREDICTING HEPATOCELLULAR CARCINOMA RISK IN HCV PATIENTS AFTER ANTIVIRAL THERAPY |
| title_short | SCORING MODELS FOR PREDICTING HEPATOCELLULAR CARCINOMA RISK IN HCV PATIENTS AFTER ANTIVIRAL THERAPY |
| title_sort | scoring models for predicting hepatocellular carcinoma risk in hcv patients after antiviral therapy |
| topic | hepatitis c virus hepatocellular carcinoma sustained virologic response |
| url | https://rjor.ro/scoring-models-for-predicting-hepatocellular-carcinoma-risk-in-hcv-patients-after-antiviral-therapy/ |
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