Table 1

Markov inputs in cost-effectiveness analysis

VariableBaselineRange lowRange highDistributionReference
Survival input
 HR of HAIC-FO versus sorafenib for OS0.4080.3010.553Normal13
 HR of HAIC-FO versus sorafenib for PFS0.4510.3400.598Normal13
 Weibull OS survival model with HAIC-FOλ 0.0170272, γ 1.363587213
 Weibull PFS survival model with HAIC-FOλ 0.071169, γ 1.03712713
 Weibull OS survival model with sorafenibλ 0.0151598, γ 1.808365213
 Weibull PFS survival model with sorafenibλ 0.0888648, γ 1.353723413
Utility input
 Utility of PFS0.7600.6100.910Beta17
 Utility of PD0.6800.5400.820Beta17
 Disutility due to neutropenia0.0900.0060.120Beta30
 Disutility due to fatigue0.0730.0370.110Beta30
Cost input
 Sorafenib (per month)3077.7602462.2083693.312Gamma17
 Oxaliplatin (per month)364.413291.531437.296Gamma17
 Cisplatin (per month)14.31011.44817.172Gamma31
 Fluorouracil (per month)686.200548.960823.440Gamma17
 Leucovorin (per month)31.65325.32337.984Gamma17
 HAIC procedure (per month)2422.7071938.1652907.248Gamma17
 Hospitalisation (per month)502.560402.048603.072Gamma17
 Test (per month)469.587375.669563.504Gamma17
 Second line (per month)959.160767.3281150.992Gamma9
Body surface area1.7201.3802.060Normal17
Discount rate0.0300.0000.050Fixed17
  • Regarding the choice of survival distribution, we evaluated multiple potential distributions, including Weibull, log-logistic, log-normal, gamma, Gompertz and exponential distributions. We selected the Weibull distribution based on the principle of minimum Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) values, as smaller AIC and BIC values indicate a better model fit.

  • AST, aspartate aminotransferase; FO, oxaliplatin+fluorouracil; HAIC, hepatic arterial infusion chemotherapy; OS, overall survival; PD, progression disease; PFS, progression-free survival.