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