12 July 2022 2 8K Report
  • I have seen the evidence of using network analysis to conduct further cost-effectiveness analysis in two papers. The fractional polynomial models were involved because of nonproportional hazards. I would like to know how to combine the evidence of network meta-analysis with the partitioned survival model in the cost-effectiveness analysis about cancer? What software can be used better? I wonder how the authors connect the two. The abstracts of the two papers are as follows.
  • 1. Front Public Health. 2022 Apr 15;10:869960. doi: 10.3389/fpubh.2022.869960.
  • eCollection 2022.
  • Cost-Effectiveness Analysis of Five Systemic Treatments for Unresectable
  • Hepatocellular Carcinoma in China: An Economic Evaluation Based on Network
  • Meta-Analysis.
  • Zhao M(1)(2), Pan X(1)(2), Yin Y(1)(2), Hu H(1)(2), Wei J(3), Bai Z(3), Tang
  • W(1)(2).
  • BACKGROUND AND OBJECTIVE: Unresectable hepatocellular carcinoma (uHCC) is the
  • main histological subtype of liver cancer and causes a great disease burden in
  • China. We aimed to evaluate the cost-effectiveness of five first-line systemic
  • treatments newly approved in the Chinese market for the treatment of uHCC,
  • namely, sorafenib, lenvatinib, donafenib, sintilimab plus bevacizumab (D + A),
  • and atezolizumab plus bevacizumab (T + A) from the perspective of China's
  • healthcare system, to provide a basis for decision-making.
  • METHODS: We constructed a network meta-analysis of 4 clinical trials and used
  • fractional polynomial models to indirectly compare the effectiveness of
  • treatments. The partitioned survival model was used for cost-effectiveness
  • analysis. Primary model outcomes included the costs in US dollars and health
  • outcomes in quality-adjusted life-years (QALYs) and the incremental
  • cost-effectiveness ratio (ICER) under a willingness-to-pay threshold of $33,521
  • (3 times the per capita gross domestic product in China) per QALY. We performed
  • deterministic and probabilistic sensitivity analyses to investigate the
  • robustness. To test the effect of active treatment duration on the conclusions,
  • we performed a scenario analysis.
  • RESULTS: Compared with sorafenib, lenvatinib, donafenib, D + A, and T + A
  • regimens, it yielded an increase of 0.25, 0.30, 0.95, and 1.46 life-years,
  • respectively. Correspondingly, these four therapies yielded an additional 0.16,
  • 0.19, 0.51, and 0.86 QALYs and all four ICERs, $40,667.92/QALY gained,
  • $27,630.63/QALY gained, $51,877.36/QALY gained, and $130,508.44/QALY gained,
  • were higher than $33,521 except for donafenib. T + A was the most effective
  • treatment and donafenib was the most economical option. Sensitivity and scenario
  • analysis results showed that the base-case analysis was highly reliable.
  • CONCLUSION: Although combination therapy could greatly improve patients with
  • uHCC survival benefits, under the current WTP, donafenib is still the most
  • economical option.
  • 2. Value Health. 2022 May;25(5):796-802. doi: 10.1016/j.jval.2021.10.016. Epub 2021
  • Dec 1.
  • Cost-Effectiveness of Systemic Treatments for Metastatic Castration-Sensitive
  • Prostate Cancer: An Economic Evaluation Based on Network Meta-Analysis.
  • Wang L(1), Hong H(2), Alexander GC(1), Brawley OW(3), Paller CJ(4), Ballreich
  • J(5).
  • OBJECTIVES: To assess the cost-effectiveness of systemic treatments for
  • metastatic castration-sensitive prostate cancer from the US healthcare sector
  • perspective with a lifetime horizon.
  • METHODS: We built a partitioned survival model based on a network meta-analysis
  • of 7 clinical trials with 7287 patients aged 36 to 94 years between 2004 and
  • 2018 to predict patient health trajectories by treatment. We tested parameter
  • uncertainties with probabilistic sensitivity analyses. We estimated drug
  • acquisition costs using the Federal Supply Schedule and adopted generic drug
  • prices when available. We measured cost-effectiveness by an incremental
  • cost-effectiveness ratio (ICER).
  • RESULTS: The mean costs were approximately $392 000 with androgen deprivation
  • therapy (ADT) alone and approximately $415 000, $464 000, $597 000, and $959 000
  • with docetaxel, abiraterone acetate, enzalutamide, and apalutamide, added to
  • ADT, respectively. The mean quality-adjusted life-years (QALYs) were 3.38 with
  • ADT alone and 3.92, 4.76, 3.92, and 5.01 with docetaxel, abiraterone acetate,
  • enzalutamide, and apalutamide, added to ADT, respectively. As add-on therapy to
  • ADT, docetaxel had an ICER of $42 069 per QALY over ADT alone; abiraterone
  • acetate had an ICER of $58 814 per QALY over docetaxel; apalutamide had an ICER
  • of $1 979 676 per QALY over abiraterone acetate; enzalutamide was dominated. At
  • a willingness to pay below $50 000 per QALY, docetaxel plus ADT is likely the
  • most cost-effective treatment; at any willingness to pay between $50 000 and
  • $200 000 per QALY, abiraterone acetate plus ADT is likely the most
  • cost-effective treatment.
  • CONCLUSIONS: These findings underscore the value of abiraterone acetate plus ADT
  • given its relative cost-effectiveness to other systemic treatments for
  • metastatic castration-sensitive prostate cancer.
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