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First-line treatments for advanced hepatocellular carcinoma: a network meta-analysis and cost-effectiveness analysis in China and the United States
BACKGROUND: Various therapeutic strategies are available for the first-line treatment of patients with advanced hepatocellular carcinoma (aHCC). But which approach is the most cost-effective remains uncertain. OBJECTIVES: This study aims to evaluate the cost-effectiveness of first-line strategies in...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742927/ https://www.ncbi.nlm.nih.gov/pubmed/36518883 http://dx.doi.org/10.1177/17562848221140662 |
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author | Sun, Ke-Xin Cao, Shan-Shan Shi, Feng-Hao Guan, Yue Tang, Meng Zhao, Mei-na Jian, Yu-Fan Cui, Bin Li, Zhi-Yan Wang, Jing-Wen Yu, Feng Ding, Yi |
author_facet | Sun, Ke-Xin Cao, Shan-Shan Shi, Feng-Hao Guan, Yue Tang, Meng Zhao, Mei-na Jian, Yu-Fan Cui, Bin Li, Zhi-Yan Wang, Jing-Wen Yu, Feng Ding, Yi |
author_sort | Sun, Ke-Xin |
collection | PubMed |
description | BACKGROUND: Various therapeutic strategies are available for the first-line treatment of patients with advanced hepatocellular carcinoma (aHCC). But which approach is the most cost-effective remains uncertain. OBJECTIVES: This study aims to evaluate the cost-effectiveness of first-line strategies in aHCC patients from the perspective of Chinese and US payers. DESIGN: A network meta-analysis (NMA) and cost-effectiveness study. DATA SOURCES AND METHODS: A NMA was conducted to collect all first-line strategies with aHCC from 1 October 1 2018 until 1 January 2022. The relevant randomized controlled trial literature in PubMed, Embase, and Cochrane Library for the last 3 years were searched. The abstracts of meetings of the American Society of Clinical Oncology, European Society of Medical Oncology, and American Association for Cancer Research were also reviewed. A Markov model that included three states was developed. One-way sensitivity and probabilistic sensitivity analysis were performed to investigate the uncertainty of the economic evaluation. Scenario analysis was conducted to explore the economic benefits of treatment strategies in low-income populations. RESULTS: Base-case analysis in China included 1712 patients showed that atezolizumab combined with bevacizumab, sintilimab combined with bevacizumab, lenvatinib (LEVA), and sorafenib (SORA) added 0.46, 1.25, 0.77, and −1.08 quality-adjusted life-years (QALYs), respectively, compared with donafenib, resulting in an incremental cost-effective ratio of $85607.88, $12109.27, and $1651.47 per QALY at a willingness-to-pay (WTP) of $11101.70/QALY. In the United States, only the incremental cost-effectiveness ratios (ICERs) of SORA was higher that were lower than the WTP threshold ($69375/QALY), and LEVA was the most cost-effective strategy with the ICERs were 25022.13/QALY. CONCLUSION: The NMA and cost-effectiveness analysis revealed that LEVA is the favorite choice in the first-line treatment of Chinese aHCC patients and US payers’ perspective when the WTP was $11101.70/QALY in China and $69375.0/QALY in the United States. REGISTRATION: This study has been registered on the PROSPERO database with the registration number CRD42021286575. |
format | Online Article Text |
id | pubmed-9742927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-97429272022-12-13 First-line treatments for advanced hepatocellular carcinoma: a network meta-analysis and cost-effectiveness analysis in China and the United States Sun, Ke-Xin Cao, Shan-Shan Shi, Feng-Hao Guan, Yue Tang, Meng Zhao, Mei-na Jian, Yu-Fan Cui, Bin Li, Zhi-Yan Wang, Jing-Wen Yu, Feng Ding, Yi Therap Adv Gastroenterol Original Research BACKGROUND: Various therapeutic strategies are available for the first-line treatment of patients with advanced hepatocellular carcinoma (aHCC). But which approach is the most cost-effective remains uncertain. OBJECTIVES: This study aims to evaluate the cost-effectiveness of first-line strategies in aHCC patients from the perspective of Chinese and US payers. DESIGN: A network meta-analysis (NMA) and cost-effectiveness study. DATA SOURCES AND METHODS: A NMA was conducted to collect all first-line strategies with aHCC from 1 October 1 2018 until 1 January 2022. The relevant randomized controlled trial literature in PubMed, Embase, and Cochrane Library for the last 3 years were searched. The abstracts of meetings of the American Society of Clinical Oncology, European Society of Medical Oncology, and American Association for Cancer Research were also reviewed. A Markov model that included three states was developed. One-way sensitivity and probabilistic sensitivity analysis were performed to investigate the uncertainty of the economic evaluation. Scenario analysis was conducted to explore the economic benefits of treatment strategies in low-income populations. RESULTS: Base-case analysis in China included 1712 patients showed that atezolizumab combined with bevacizumab, sintilimab combined with bevacizumab, lenvatinib (LEVA), and sorafenib (SORA) added 0.46, 1.25, 0.77, and −1.08 quality-adjusted life-years (QALYs), respectively, compared with donafenib, resulting in an incremental cost-effective ratio of $85607.88, $12109.27, and $1651.47 per QALY at a willingness-to-pay (WTP) of $11101.70/QALY. In the United States, only the incremental cost-effectiveness ratios (ICERs) of SORA was higher that were lower than the WTP threshold ($69375/QALY), and LEVA was the most cost-effective strategy with the ICERs were 25022.13/QALY. CONCLUSION: The NMA and cost-effectiveness analysis revealed that LEVA is the favorite choice in the first-line treatment of Chinese aHCC patients and US payers’ perspective when the WTP was $11101.70/QALY in China and $69375.0/QALY in the United States. REGISTRATION: This study has been registered on the PROSPERO database with the registration number CRD42021286575. SAGE Publications 2022-12-09 /pmc/articles/PMC9742927/ /pubmed/36518883 http://dx.doi.org/10.1177/17562848221140662 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Sun, Ke-Xin Cao, Shan-Shan Shi, Feng-Hao Guan, Yue Tang, Meng Zhao, Mei-na Jian, Yu-Fan Cui, Bin Li, Zhi-Yan Wang, Jing-Wen Yu, Feng Ding, Yi First-line treatments for advanced hepatocellular carcinoma: a network meta-analysis and cost-effectiveness analysis in China and the United States |
title | First-line treatments for advanced hepatocellular carcinoma: a
network meta-analysis and cost-effectiveness analysis in China and the United
States |
title_full | First-line treatments for advanced hepatocellular carcinoma: a
network meta-analysis and cost-effectiveness analysis in China and the United
States |
title_fullStr | First-line treatments for advanced hepatocellular carcinoma: a
network meta-analysis and cost-effectiveness analysis in China and the United
States |
title_full_unstemmed | First-line treatments for advanced hepatocellular carcinoma: a
network meta-analysis and cost-effectiveness analysis in China and the United
States |
title_short | First-line treatments for advanced hepatocellular carcinoma: a
network meta-analysis and cost-effectiveness analysis in China and the United
States |
title_sort | first-line treatments for advanced hepatocellular carcinoma: a
network meta-analysis and cost-effectiveness analysis in china and the united
states |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742927/ https://www.ncbi.nlm.nih.gov/pubmed/36518883 http://dx.doi.org/10.1177/17562848221140662 |
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