Subgroup economic analysis for glioblastoma in a health resource-limited setting.

Background The aim of this research was to evaluate the economic outcomes of radiotherapy (RT), temozolomide (TMZ) and nitrosourea (NT) strategies for glioblastoma patients with different prognostic factors. Methodology/Principal Findings A Markov model was developed to track monthly patient transitions. Transition probabilities and utilities were derived primarily from published reports. Costs were estimated from the perspective of the Chinese healthcare system. The survival data with different prognostic factors were simulated using Weibull survival models. Costs over a 5-year period and quality-adjusted life years (QALYs) were estimated. Probabilistic sensitivity and one-way analyses were performed. The baseline analysis in the overall cohort showed that the TMZ strategy increased the cost and QALY relative to the RT strategy by $25,328.4 and 0.29, respectively; and the TMZ strategy increased the cost and QALY relative to the NT strategy by $23,906.5 and 0.25, respectively. Therefore, the incremental cost effectiveness ratio (ICER) per additional QALY of the TMZ strategy, relative to the RT strategy and the NT strategy, amounts to $87,940.6 and $94,968.3, respectively. Subgroups with more favorable prognostic factors achieved more health benefits with improved ICERs. Probabilistic sensitivity analyses confirmed that the TMZ strategy was not cost-effective. In general, the results were most sensitive to the cost of TMZ, which indicates that better outcomes could be achieved by decreasing the cost of TMZ. Conclusions/Significance In health resource-limited settings, TMZ is not a cost-effective option for glioblastoma patients. Selecting patients with more favorable prognostic factors increases the likelihood of cost-effectiveness.

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PID pmid:22511951
PID https://www.doi.org/10.1371/journal.pone.0034588
PID pmc:PMC3325281
URL http://dx.doi.org/10.1371/journal.pone.0034588
URL https://ui.adsabs.harvard.edu/abs/2012PLoSO...734588W/abstract
URL https://www.ncbi.nlm.nih.gov/pubmed/22511951
URL https://paperity.org/p/61207574/subgroup-economic-analysis-for-glioblastoma-in-a-health-resource-limited-setting
URL http://europepmc.org/articles/PMC3325281/
URL https://dx.plos.org/10.1371/journal.pone.0034588
URL https://academic.microsoft.com/#/detail/2130295850
URL http://dx.plos.org/10.1371/journal.pone.0034588
URL https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0034588&type=printable
URL http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0034588
URL http://europepmc.org/articles/PMC3325281
URL https://doaj.org/toc/1932-6203
URL https://dx.doi.org/10.1371/journal.pone.0034588
URL http://europepmc.org/articles/PMC3325281?pdf=render
URL https://core.ac.uk/display/152712963
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Access Right Open Access
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Author Wu, Bin
Author Miao, Yifeng
Author Bai, Yongrui
Author Ye, Min
Author Xu, Yuejuan
Author Chen, Huafeng
Author Shen, Jinfang
Author Qiu, Yongming
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Collected From Europe PubMed Central; PubMed Central; UnpayWall; DOAJ-Articles; Crossref; Microsoft Academic Graph
Hosted By Europe PubMed Central; PLoS ONE
Publication Date 2012-04-12
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Language Undetermined
Resource Type Article; UNKNOWN
keyword keywords.General Biochemistry, Genetics and Molecular Biology
keyword Q
keyword R
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::a93c0f26f3ff5796e33ee692f7d883bd
Author jsonws_user
Last Updated 26 December 2020, 19:35 (CET)
Created 26 December 2020, 19:35 (CET)