引用本文: | 徐素梅,吕淑河,王雨露,李岱,徐平声.三种乳腺癌化疗方案的药物经济学分析[J].中国现代应用药学,2018,35(2):271-274. |
| XU Sumei,LYU Shuhe,WANG Yulu,LI Dai,XU Pingsheng.Analysis of Pharmacoeconomic of Three Therapeutic Schemes for Mammary Cancer[J].Chin J Mod Appl Pharm(中国现代应用药学),2018,35(2):271-274. |
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摘要: |
目的 从药物经济学角度评价乳腺癌术后3种化疗方案的经济学效果,为临床合理用药提供参考。方法 90例乳腺癌术后患者分为3组[TAC组(多西他赛+多柔比星+环磷酰胺)、PEC组(紫杉醇脂质体+表柔比星+环磷酰胺)、AC组(多柔比星+环磷酰胺)],采用药物经济学的成本-效果分析法对3种化疗方案进行临床病例的回顾性分析比较。结果 3组化疗方案的总体有效率分别为71.87%,73.07%,65.62%;治疗成本分别为11 713.49元,18 197.79元和7 795.82元;成本-效果比分别为162.98,249.04,118.80。化疗不良反应方面,PEC组发生率高于TAC组及AC组。结论 TAC为乳腺癌术后化疗较佳的治疗方案,值得推广。 |
关键词: 成本-效果 药物经济学 乳腺癌 敏感度分析 |
DOI:10.13748/j.cnki.issn1007-7693.2018.02.026 |
分类号:R969.3 |
基金项目: |
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Analysis of Pharmacoeconomic of Three Therapeutic Schemes for Mammary Cancer |
XU Sumei1, LYU Shuhe2, WANG Yulu1, LI Dai1, XU Pingsheng1
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1.National Institution of Drug Clinical Trail, Xiangya Hospital Central South University, Changsha 410008, China;2.Department of Pharmacy, Xiangya Hospital Central South University, Changsha 410008, China
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Abstract: |
OBJECTIVE To evaluate the cost-effectiveness of three chemotherapy schemes in postoperative treatment of mammary cancer, providing a basis for the further drug administration. METHODS Ninety postoperative patients with mammary cancer were divided into three groups[TAC group (docetaxel + doxorubicin + cyclophosphamide), PEC group (paclitaxel + epirubicin + cyclophosphamide), and AC group (doxorubicin + cyclophosphamide)], the cost-effectiveness method in pharmacoeconomics was adopted to analyze retrospectively the three different regimens.RESULTS The overall response rate for TAC, PEC and AC were 71.87%, 73.07% and 65.62%, respectively; the costs were 11 713.49, 18 197.79 and 7 795.82 yuan, respectively, with corresponding cost-effectiveness ratios of 162.98, 249.04 and 118.80. For the chemotherapy toxicity, the PEC group was higher than those of the TAC group and AC group. CONCLUSION Scheme TAC is a better approach for postoperative treatment of soaked mammary cancer. |
Key words: cost-effectiveness analysis pharmacoeconomics mammary cancer sensitivity analysis |