Clinical and economic studies on pharmacotherapy of malignant neoplasms: the modeling approach

A. Tolkushin, S. Zyryanov, N. Pogudina, M. Davydovskaya
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引用次数: 2

Abstract

The aimis to develop a generalized algorithm and methodology for conducting clinical and economic studies (CeS) on medications used in treatment of malignant neoplasms (MnP).Materials and methods. We conducted a literature search and then reviewed the recent reports on similar CeS. In so doing, we paid special attention to the model type, the modeling methodology, information on the effectiveness and cost, the cost elements, performance criteria, the assessment of the CeS final results, as well as the possibility of applying these results to the national healthcare system. We used the methods of generalization, systematization, as well as visual-graphical and mathematical modeling.Results. A general algorithm for conducting a pharmacoeconomic study has been proposed; this includes an effectiveness analysis, a cost analysis and a comparison of costs and effectiveness (cost-effectiveness). The effectiveness analysis includes selection, digitization, and approximation of overall survival (OS) and progression-free survival (PFS) curves followed by their extrapolation. The choice of extrapolation method is discussed. The cost analysis includes calculating the cost of medications in question, the costs associated with the indicated therapy and with adverse events (Ae), as well the costs associated with disease progression (for certain drugs). The possibility of analyzing indirect and non-medical costs is also discussed. A dynamic version of the Markov model pertaining to the first order course of a disease is proposed; this includes the status before progression (first-line therapy), after progression (second-line therapy) and death. Considering the succession of treatments and the availability of additional data, a similar second-order model (and subsequent orders) can be applied to incorporate additional patient’s condition after the first progression to the second progression (second-line therapy) and after the second progression (third-line therapy).Conclusion. A generalized algorithm has been developed and proposed for carrying out CeS of medicationsused in MnP.
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恶性肿瘤药物治疗的临床和经济学研究:建模方法
目的是开发一种通用的算法和方法,用于对用于治疗恶性肿瘤(MnP)的药物进行临床和经济研究(CeS)。材料和方法。我们进行了文献检索,然后回顾了最近关于类似ce的报道。在此过程中,我们特别关注模型类型、建模方法、有效性和成本信息、成本要素、绩效标准、CeS最终结果的评估,以及将这些结果应用于国家医疗保健系统的可能性。我们采用了一般化、系统化、可视化和数学建模的方法。已经提出了进行药物经济学研究的一般算法;这包括有效性分析、成本分析和成本与有效性的比较(成本效益)。有效性分析包括总生存期(OS)和无进展生存期(PFS)曲线的选择、数字化和近似值,然后进行外推。讨论了外推法的选择。成本分析包括计算相关药物的成本,与指示治疗和不良事件(Ae)相关的成本,以及与疾病进展相关的成本(对于某些药物)。本文还讨论了分析间接和非医疗费用的可能性。提出了一种关于疾病一阶过程的马尔可夫模型的动态版本;这包括进展前(一线治疗)、进展后(二线治疗)和死亡的状态。考虑到治疗的连续性和额外数据的可用性,一个类似的二级模型(和后续的顺序)可以应用于将第一次进展后的额外患者的病情纳入第二次进展(二线治疗)和第二次进展(三线治疗)之后。一个广义的算法已经开发并提出了执行在MnP中使用的药物的ce。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Farmakoekonomika
Farmakoekonomika Medicine-Health Policy
CiteScore
1.70
自引率
0.00%
发文量
43
审稿时长
8 weeks
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