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Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study

BACKGROUND: Hepatocellular carcinoma (HCC) is the fastest increasing cause of cancer death in Australia. A recent Australian consensus guidelines recommended HCC surveillance for cirrhotic patients and non-cirrhotic chronic hepatitis B (CHB) patients at gender and age specific cut-offs. A cost-effec...

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Autores principales: Nguyen, Anh Le Tuan, Si, Lei, Lubel, John S, Shackel, Nicholas, Yee, Kwang Chien, Wilson, Mark, Bradshaw, Jane, Hardy, Kerry, Palmer, Andrew John, Blizzard, Christopher Leigh, de Graaff, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116722/
https://www.ncbi.nlm.nih.gov/pubmed/37076870
http://dx.doi.org/10.1186/s12913-023-09360-4
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author Nguyen, Anh Le Tuan
Si, Lei
Lubel, John S
Shackel, Nicholas
Yee, Kwang Chien
Wilson, Mark
Bradshaw, Jane
Hardy, Kerry
Palmer, Andrew John
Blizzard, Christopher Leigh
de Graaff, Barbara
author_facet Nguyen, Anh Le Tuan
Si, Lei
Lubel, John S
Shackel, Nicholas
Yee, Kwang Chien
Wilson, Mark
Bradshaw, Jane
Hardy, Kerry
Palmer, Andrew John
Blizzard, Christopher Leigh
de Graaff, Barbara
author_sort Nguyen, Anh Le Tuan
collection PubMed
description BACKGROUND: Hepatocellular carcinoma (HCC) is the fastest increasing cause of cancer death in Australia. A recent Australian consensus guidelines recommended HCC surveillance for cirrhotic patients and non-cirrhotic chronic hepatitis B (CHB) patients at gender and age specific cut-offs. A cost-effectiveness model was then developed to assess surveillance strategies in Australia. METHODS: A microsimulation model was used to evaluate three strategies: biannual ultrasound, biannual ultrasound with alpha-fetoprotein (AFP) and no formal surveillance for patients having one of the conditions: non-cirrhotic CHB, compensated cirrhosis or decompensated cirrhosis. One-way and probabilistic sensitivity analyses as well as scenario and threshold analyses were conducted to account for uncertainties: including exclusive surveillance of CHB, compensated cirrhosis or decompensated cirrhosis populations; impact of obesity on ultrasound sensitivity; real-world adherence rate; and different cohort’s ranges of ages. RESULTS: Sixty HCC surveillance scenarios were considered for the baseline population. The ultrasound + AFP strategy was the most cost-effective with incremental cost-effectiveness ratios (ICER) compared to no surveillance falling below the willingness-to-pay threshold of A$50,000 per quality-adjusted life year (QALY) at all age ranges. Ultrasound alone was also cost-effective, but the strategy was dominated by ultrasound + AFP. Surveillance was cost-effective in the compensated and decompensated cirrhosis populations alone (ICERs < $30,000), but not cost-effective in the CHB population (ICERs > $100,000). Obesity could decrease the diagnostic performance of ultrasound, which in turn, reduce the cost-effectiveness of ultrasound ± AFP, but the strategies remained cost-effective. CONCLUSIONS: HCC surveillance based on Australian recommendations using biannual ultrasound ± AFP was cost-effective. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09360-4.
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spelling pubmed-101167222023-04-21 Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study Nguyen, Anh Le Tuan Si, Lei Lubel, John S Shackel, Nicholas Yee, Kwang Chien Wilson, Mark Bradshaw, Jane Hardy, Kerry Palmer, Andrew John Blizzard, Christopher Leigh de Graaff, Barbara BMC Health Serv Res Research BACKGROUND: Hepatocellular carcinoma (HCC) is the fastest increasing cause of cancer death in Australia. A recent Australian consensus guidelines recommended HCC surveillance for cirrhotic patients and non-cirrhotic chronic hepatitis B (CHB) patients at gender and age specific cut-offs. A cost-effectiveness model was then developed to assess surveillance strategies in Australia. METHODS: A microsimulation model was used to evaluate three strategies: biannual ultrasound, biannual ultrasound with alpha-fetoprotein (AFP) and no formal surveillance for patients having one of the conditions: non-cirrhotic CHB, compensated cirrhosis or decompensated cirrhosis. One-way and probabilistic sensitivity analyses as well as scenario and threshold analyses were conducted to account for uncertainties: including exclusive surveillance of CHB, compensated cirrhosis or decompensated cirrhosis populations; impact of obesity on ultrasound sensitivity; real-world adherence rate; and different cohort’s ranges of ages. RESULTS: Sixty HCC surveillance scenarios were considered for the baseline population. The ultrasound + AFP strategy was the most cost-effective with incremental cost-effectiveness ratios (ICER) compared to no surveillance falling below the willingness-to-pay threshold of A$50,000 per quality-adjusted life year (QALY) at all age ranges. Ultrasound alone was also cost-effective, but the strategy was dominated by ultrasound + AFP. Surveillance was cost-effective in the compensated and decompensated cirrhosis populations alone (ICERs < $30,000), but not cost-effective in the CHB population (ICERs > $100,000). Obesity could decrease the diagnostic performance of ultrasound, which in turn, reduce the cost-effectiveness of ultrasound ± AFP, but the strategies remained cost-effective. CONCLUSIONS: HCC surveillance based on Australian recommendations using biannual ultrasound ± AFP was cost-effective. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09360-4. BioMed Central 2023-04-19 /pmc/articles/PMC10116722/ /pubmed/37076870 http://dx.doi.org/10.1186/s12913-023-09360-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Nguyen, Anh Le Tuan
Si, Lei
Lubel, John S
Shackel, Nicholas
Yee, Kwang Chien
Wilson, Mark
Bradshaw, Jane
Hardy, Kerry
Palmer, Andrew John
Blizzard, Christopher Leigh
de Graaff, Barbara
Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study
title Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study
title_full Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study
title_fullStr Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study
title_full_unstemmed Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study
title_short Hepatocellular carcinoma surveillance based on the Australian Consensus Guidelines: a health economic modelling study
title_sort hepatocellular carcinoma surveillance based on the australian consensus guidelines: a health economic modelling study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10116722/
https://www.ncbi.nlm.nih.gov/pubmed/37076870
http://dx.doi.org/10.1186/s12913-023-09360-4
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