Cited by 39Liver Disease Diagnosis and TreatmentHealth Systems, Economic Evaluations, Quality of LifeHealthcare cost, quality, practices

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Cost-effectiveness analysis of ultrasonography screening for nonalcoholic fatty liver disease in metabolic syndrome patients

Open access

Abstract

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) can be diagnosed early by noninvasive ultrasonography; however, the cost-effectiveness of ultrasonography screening with intensive weight reduction program in metabolic syndrome patients is not clear. This study aims to estimate economic and clinical outcomes of ultrasonography in Thailand. METHODS: Cost-effectiveness analysis used decision tree and Markov models to estimate lifetime costs and health benefits from societal perspective, based on a cohort of 509 metabolic syndrome patients in Thailand. Data were obtained from published literatures and Thai database. Results were reported as incremental cost-effectiveness ratios (ICERs) in 2014 US dollars (USD) per quality-adjusted life year (QALY) gained with discount rate of 3%. Sensitivity analyses were performed to assess the influence of parameter uncertainty on the results. RESULTS: The ICER of ultrasonography screening of 50-year-old metabolic syndrome patients with intensive weight reduction program was 958 USD/QALY gained when compared with no screening. The probability of being cost-effective was 67% using willingness-to-pay threshold in Thailand (4848 USD/QALY gained). Screening before 45 years was cost saving while screening at 45 to 64 years was cost-effective. CONCLUSIONS: For patients with metabolic syndromes, ultrasonography screening for NAFLD with intensive weight reduction program is a cost-effective program in Thailand. Study can be used as part of evidence-informed decision making. TRANSLATIONAL IMPACTS: Findings could contribute to changes of NAFLD diagnosis practice in settings where economic evidence is used as part of decision-making process. Furthermore, study design, model structure, and input parameters could also be used for future research addressing similar questions.

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Registry

Crossref · 10.1097/md.0000000000006585

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Figures

Figure 1 Decision tree and Markov models. A decision tree was constructed to divide patients into 2 groups; screening with intensive weight reduction program and no screening groups. In Markov models, patients could remain in the same state or move to other states.
Figure 1 Decision tree and Markov models. A decision tree was constructed to divide patients into 2 groups; screening with intensive weight reduction program and no screening groups. In Markov models, patients could remain in the same state or move to other states.CC BY-ND · PubMed Central
Figure 2 Tornado diagram of base-case analysis. This model illustrated the result of 1-way sensitivity analyses that were performed to study the effects of altering uncertainty parameters within the 95% CI ranges including all clinical effects, costs, utilities, and discounting rate on the ICER in the model. ICER = incremental cost-effectiveness ratio.
Figure 2 Tornado diagram of base-case analysis. This model illustrated the result of 1-way sensitivity analyses that were performed to study the effects of altering uncertainty parameters within the 95% CI ranges including all clinical effects, costs, utilities, and discounting rate on the ICER in the model. ICER = incremental cost-effectiveness ratio.CC BY-ND · PubMed Central
Figure 3 Multivariate probabilistic sensitivity analysis. The analysis was based on 1000 Monte Carlo simulations (A) cost-effectiveness plane, (B) cost-effectiveness acceptability curve.
Figure 3 Multivariate probabilistic sensitivity analysis. The analysis was based on 1000 Monte Carlo simulations (A) cost-effectiveness plane, (B) cost-effectiveness acceptability curve.CC BY-ND · PubMed Central

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Metadata

Authors
Phisalprapa, P., Supakankunti, S., Charatcharoenwitthaya, P., Apisarnthanarak, P., Charoensak, A., Washirasaksiri, C., Srivanichakorn, W., & Chaiyakunapruk, N.
Affiliations
  • Monash University Malaysia (MY)
  • Chulalongkorn University (TH)
  • Siriraj Hospital (TH)
Corresponding author
Chaiyakunapruk, Nathorn
Venue
Medicine
Published
2017-04
Volume
96
Issue
17
Pages
e6585
ISSN
0025-7974 (ISSN-L)
OpenAlex
W2602200833
Cited by
39
References
34
Citations by year
2026: 5 · 2025: 6 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 7 · 2020: 4 · 2019: 1 · 2018: 4 · 2017: 2
FWCI
2.36
Type
journal article
Language
en
Open access
Licence
cc-by-nd
Locations
  • Medicine (publishedVersion, cc-by-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nd)
  • PubMed Central (publishedVersion, cc-by-nd)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Health Sciences › Health Professions › General Health Professions › Healthcare cost, quality, practices
Keywords
non-alcoholic fatty liver disease, metabolic syndrome, ultrasound screening, cost-effectiveness, quality-adjusted life years, screening age thresholds, Thailand
MeSH terms
Cost-Benefit Analysis, Decision Trees, Humans, Markov Chains, Middle Aged, Oxadiazoles, Sensitivity and Specificity, Thailand, Ultrasonography, Cohort Studies, Multivariate Analysis, Treatment Outcome, Models, Economic, Quality-Adjusted Life Years, Metabolic Syndrome, Weight Reduction Programs, Non-alcoholic Fatty Liver Disease

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