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Economic Evaluation of Cisplatin Plus Gemcitabine Versus Paclitaxel Plus Gemcitabine for the Treatment of First-Line Advanced Metastatic Triple-Negative Breast Cancer in China: Using Markov Model and Partitioned Survival Model

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Abstract

Introduction

This study aimed to evaluate the cost-effectiveness of cisplatin plus gemcitabine vs. paclitaxel plus gemcitabine as a first-line treatment for metastatic triple-negative breast cancer in China.

Methods

The Markov model and partitioned survival (PS) model were used, and the study included three health states over the period of a lifetime. Transition probabilities and safety data were derived from the CBCSG006 trial (cisplatin plus gemcitabine vs. paclitaxel plus gemcitabine in patients who had acquired metastatic triple-negative breast cancer). Cost and utility values were derived from previous studies, the Chinese Drug Bidding Database, and healthcare documents. Sensitivity analyses were performed to observe model stability.

Results

In the Markov model, compared with paclitaxel plus gemcitabine, cisplatin plus gemcitabine yielded an additional 0.15 QALYs, with an incremental cost of 1976.33 USD. The incremental cost-utility ratio (ICUR) was 12,826.98 USD/QALY (quality-adjusted life year). In the PS model, cisplatin plus gemcitabine yielded an additional 0.17 QALYs with an incremental cost of 2384.63 USD; the incremental cost-utility ratio (ICUR) was 13,867.7 USD/QALY. In the first scenario analysis, in which the 3-year time horizon was used in both arms, the total QALYs in the cisplatin plus gemcitabine group were larger and the costs were lower, indicating that cisplatin plus gemcitabine was superior to paclitaxel plus gemcitabine. In the second scenario, in which the progression-free (PF) utility (during chemotherapy) was 0.76, the PF utility was 0.96, and the post-progression (PP) utility was 0.55, the result obtained with the Markov model showed that the ICUR was 11,063.68 USD/QALY. In the probabilistic sensitivity analysis (PSA) on the Markov model, the probabilities that cisplatin plus gemcitabine would be cost-effective were 48.94–78.72% if the willingness-to-pay threshold was 9776.8 to 29,330.4 USD/QALY.

Conclusions

The findings of the present analysis suggest that cisplatin plus gemcitabine might be much more cost-effective than paclitaxel plus gemcitabine in patients receiving first-line treatment for metastatic triple-negative breast cancer in China.

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Acknowledgements

Funding

No funding or sponsorship was received for this study or publication of this article. The Rapid Service Fee was funded by the authors.

Authorship

All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.

Authorship Contributions

Mingjun Rui was mainly responsible for designing the study, constructing the model, collecting and interpreting the data. Fenghao Shi was mainly responsible for constructing the model. Ye Shang was mainly responsible for searching the literature and writing the manuscript. Rui Meng was mainly responsible for collecting the data. Hongchao Li was mainly responsible for designing the study, revising the manuscript, and reviewing the manuscript. All the authors made the decision to submit the manuscript for publication.

Disclosures

Mingjun Rui, Fenghao Shi, Ye Shang, Rui Meng, Hongchao Li have nothing to disclose.

Compliance with Ethics Guidelines

This article is based on previously conducted studies and does not contain any studies with human participants or animals performed by any of the authors.

Data Availability

All data generated or analyzed during this study are included in this published article/as supplementary information files.

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Correspondence to Hongchao Li.

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Rui, M., Shi, F., Shang, Y. et al. Economic Evaluation of Cisplatin Plus Gemcitabine Versus Paclitaxel Plus Gemcitabine for the Treatment of First-Line Advanced Metastatic Triple-Negative Breast Cancer in China: Using Markov Model and Partitioned Survival Model. Adv Ther 37, 3761–3774 (2020). https://doi.org/10.1007/s12325-020-01418-7

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