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乳腺癌药物治疗的成本效用分析:一项系统综述

Cost-utility analyses of drug therapies in breast cancer: a systematic review.

作者信息

Nerich Virginie, Saing Sopany, Gamper Eva Maria, Kemmler Georg, Daval Franck, Pivot Xavier, Holzner Bernhard

机构信息

Department of Pharmacy, University Hospital of Besançon, Boulevard Fleming, Besançon, France.

INSERM, Unit 1098, University of Franche-Comté, Besançon, France.

出版信息

Breast Cancer Res Treat. 2016 Oct;159(3):407-24. doi: 10.1007/s10549-016-3924-7. Epub 2016 Aug 30.

Abstract

The economic evaluation (EE) of health care products has become a necessity. Their quality must be high in order to trust the results and make informed decisions. While cost-utility analyses (CUAs) should be preferred to cost-effectiveness analyses in the oncology area, the quality of breast cancer (BC)-related CUA has been given little attention so far. Thus, firstly, a systematic review of published CUA related to drug therapies for BC, gene expression profiling, and HER2 status testing was performed. Secondly, the quality of selected CUA was assessed and the factors associated with a high-quality CUA identified. The systematic literature search was conducted in PubMed, MEDLINE/EMBASE, and Cochrane to identify published CUA between 2000 and 2014. After screening and data extraction, the quality of each selected CUA was assessed by two independent reviewers, using the checklist proposed by Drummond et al. The analysis of factors associated with a high-quality CUA (defined as a Drummond score ≥7) was performed using a two-step approach. Our systematic review was based on 140 CUAs and showed a wide variety of methodological approaches, including differences in the perspective adopted, the time horizon, measurement of cost and effectiveness, and more specially health-state utility values (HSUVs). The median Drummond score was 7 [range 3-10]. Only one in two of the CUA (n = 74) had a Drummond score ≥7, synonymous of "high quality." The statistically significant predictors of a high-quality CUA were article with "gene expression profiling" topic (p = 0.001), consulting or pharmaceutical company as main location of first author (p = 0.004), and articles with both incremental cost-utility ratio and incremental cost-effectiveness ratio as outcomes of EE (p = 0.02). Our systematic review identified only 140 CUAs published over the past 15 years with one in two of high quality. It showed a wide variety of methodological approaches, especially focused on HSUVs. A critical appraisal of utility values is necessary to better understand one of the main difficulties encountered by authors and propose areas for improvement to increase the quality of CUA. Since the last 5 years, there is a tendency toward an improvement in the quality of these studies, probably coupled with economic context, a better and widely spreading of recommendations and thus appropriation by medical practitioners. That being said, there is an urgent need for mandatory use of European and international recommendations to ensure quality of such approaches and to allow easy comparison.

摘要

医疗保健产品的经济评估(EE)已成为一项必要工作。其质量必须很高,以便人们相信评估结果并做出明智的决策。虽然在肿瘤学领域成本效用分析(CUA)应优先于成本效益分析,但迄今为止,与乳腺癌(BC)相关的CUA质量很少受到关注。因此,首先,我们对已发表的与BC药物治疗、基因表达谱分析和HER2状态检测相关的CUA进行了系统综述。其次,对所选CUA的质量进行了评估,并确定了与高质量CUA相关的因素。我们在PubMed、MEDLINE/EMBASE和Cochrane数据库中进行了系统的文献检索,以确定2000年至2014年间发表的CUA。经过筛选和数据提取后,由两名独立评审员使用Drummond等人提出的清单对每个所选CUA的质量进行评估。使用两步法对与高质量CUA(定义为Drummond评分≥7)相关的因素进行分析。我们的系统综述基于140篇CUA,显示出各种各样的方法学途径,包括在采用的视角、时间范围、成本和效果的测量方面存在差异,更特别的是在健康状态效用值(HSUVs)方面。Drummond评分的中位数为7[范围3 - 10]。只有二分之一的CUA(n = 74)的Drummond评分≥7,这意味着“高质量”。高质量CUA的统计学显著预测因素是主题为“基因表达谱分析”的文章(p = 0.001)、第一作者主要所在单位为咨询公司或制药公司(p = 0.004)以及将增量成本效用比和增量成本效益比作为EE结果的文章(p = 0.02)。我们的系统综述发现,在过去15年中仅发表了140篇CUA,其中二分之一质量较高。它显示出各种各样的方法学途径,尤其集中在HSUVs方面。对效用值进行批判性评估对于更好地理解作者遇到的主要困难之一并提出改进领域以提高CUA质量是必要的。在过去5年中,这些研究的质量有提高的趋势,这可能与经济背景、建议更好且广泛传播以及因此被医学从业者采用有关。话虽如此,迫切需要强制使用欧洲和国际建议,以确保此类方法的质量并便于进行比较。

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