Methods for Indirect Treatment Comparison: Results from a Systematic Literature Review

Bérengère Macabeo, Arthur Quenéchdu, Samuel Aballéa, Clément François, Laurent Boyer, Philippe Laramée
{"title":"Methods for Indirect Treatment Comparison: Results from a Systematic Literature Review","authors":"Bérengère Macabeo, Arthur Quenéchdu, Samuel Aballéa, Clément François, Laurent Boyer, Philippe Laramée","doi":"10.3390/jmahp12020006","DOIUrl":null,"url":null,"abstract":"Introduction: Health technology assessment (HTA) agencies express a clear preference for randomized controlled trials when assessing the comparative efficacy of two or more treatments. However, an indirect treatment comparison (ITC) is often necessary where a direct comparison is unavailable or, in some cases, not possible. Numerous ITC techniques are described in the literature. A systematic literature review (SLR) was conducted to identify all the relevant literature on existing ITC techniques, provide a comprehensive description of each technique and evaluate their strengths and limitations from an HTA perspective in order to develop guidance on the most appropriate method to use in different scenarios. Methods: Electronic database searches of Embase and PubMed, as well as grey literature searches, were conducted on 15 November 2021. Eligible articles were peer-reviewed papers that specifically described the methods used for different ITC techniques and were written in English. The review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: A total of 73 articles were included in the SLR, reporting on seven different ITC techniques. All reported techniques were forms of adjusted ITC. Network meta-analysis (NMA) was the most frequently described technique (in 79.5% of the included articles), followed by matching-adjusted indirect comparison (MAIC) (30.1%), network meta-regression (24.7%), the Bucher method (23.3%), simulated treatment comparison (STC) (21.9%), propensity score matching (4.1%) and inverse probability of treatment weighting (4.1%). The appropriate choice of ITC technique is critical and should be based on the feasibility of a connected network, the evidence of heterogeneity between and within studies, the overall number of relevant studies and the availability of individual patient-level data (IPD). MAIC and STC were found to be common techniques in the case of single-arm studies, which are increasingly being conducted in oncology and rare diseases, whilst the Bucher method and NMA provide suitable options where no IPD is available. Conclusion: ITCs can provide alternative evidence where direct comparative evidence may be missing. ITCs are currently considered by HTA agencies on a case-by-case basis; however, their acceptability remains low. Clearer international consensus and guidance on the methods to use for different ITC techniques is needed to improve the quality of ITCs submitted to HTA agencies. ITC techniques continue to evolve quickly, and more efficient techniques may become available in the future.","PeriodicalId":73811,"journal":{"name":"Journal of market access & health policy","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of market access & health policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/jmahp12020006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Health technology assessment (HTA) agencies express a clear preference for randomized controlled trials when assessing the comparative efficacy of two or more treatments. However, an indirect treatment comparison (ITC) is often necessary where a direct comparison is unavailable or, in some cases, not possible. Numerous ITC techniques are described in the literature. A systematic literature review (SLR) was conducted to identify all the relevant literature on existing ITC techniques, provide a comprehensive description of each technique and evaluate their strengths and limitations from an HTA perspective in order to develop guidance on the most appropriate method to use in different scenarios. Methods: Electronic database searches of Embase and PubMed, as well as grey literature searches, were conducted on 15 November 2021. Eligible articles were peer-reviewed papers that specifically described the methods used for different ITC techniques and were written in English. The review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: A total of 73 articles were included in the SLR, reporting on seven different ITC techniques. All reported techniques were forms of adjusted ITC. Network meta-analysis (NMA) was the most frequently described technique (in 79.5% of the included articles), followed by matching-adjusted indirect comparison (MAIC) (30.1%), network meta-regression (24.7%), the Bucher method (23.3%), simulated treatment comparison (STC) (21.9%), propensity score matching (4.1%) and inverse probability of treatment weighting (4.1%). The appropriate choice of ITC technique is critical and should be based on the feasibility of a connected network, the evidence of heterogeneity between and within studies, the overall number of relevant studies and the availability of individual patient-level data (IPD). MAIC and STC were found to be common techniques in the case of single-arm studies, which are increasingly being conducted in oncology and rare diseases, whilst the Bucher method and NMA provide suitable options where no IPD is available. Conclusion: ITCs can provide alternative evidence where direct comparative evidence may be missing. ITCs are currently considered by HTA agencies on a case-by-case basis; however, their acceptability remains low. Clearer international consensus and guidance on the methods to use for different ITC techniques is needed to improve the quality of ITCs submitted to HTA agencies. ITC techniques continue to evolve quickly, and more efficient techniques may become available in the future.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
间接治疗比较方法:系统文献综述的结果
导言:卫生技术评估(HTA)机构明确表示,在评估两种或两种以上治疗方法的疗效比较时,首选随机对照试验。然而,在无法进行直接比较或在某些情况下无法进行直接比较时,往往需要进行间接治疗比较(ITC)。文献中介绍了大量的 ITC 技术。我们进行了一项系统性文献综述 (SLR),以确定现有 ITC 技术的所有相关文献,全面描述每种技术,并从 HTA 角度评估其优势和局限性,从而为在不同情况下使用最合适的方法提供指导。研究方法于 2021 年 11 月 15 日进行了 Embase 和 PubMed 电子数据库检索以及灰色文献检索。符合条件的文章均为经同行评审的论文,这些论文具体描述了不同 ITC 技术所使用的方法,并以英语撰写。综述按照《系统综述和元分析首选报告项目》(PRISMA)指南进行。结果:共有 73 篇文章被纳入 SLR,报告了七种不同的 ITC 技术。所有报告的技术都是调整后的ITC形式。网络荟萃分析(NMA)是最常见的技术(占收录文章的 79.5%),其次是匹配调整间接比较(MAIC)(30.1%)、网络荟萃回归(24.7%)、Bucher 方法(23.3%)、模拟治疗比较(STC)(21.9%)、倾向评分匹配(4.1%)和反向治疗加权概率(4.1%)。选择合适的 ITC 技术至关重要,应基于连接网络的可行性、研究之间和研究内部的异质性证据、相关研究的总体数量以及单个患者水平数据(IPD)的可用性。研究发现,MAIC 和 STC 是肿瘤学和罕见病领域越来越多开展的单臂研究的常用技术,而在没有 IPD 的情况下,Bucher 方法和 NMA 则是合适的选择。结论在缺乏直接比较证据的情况下,ITC 可提供替代证据。ITC 目前由 HTA 机构逐案考虑,但其可接受性仍然较低。需要就不同 ITC 技术的使用方法达成更明确的国际共识和指导,以提高提交给 HTA 机构的 ITC 的质量。ITC 技术仍在快速发展,未来可能会出现更高效的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.90
自引率
0.00%
发文量
0
审稿时长
14 weeks
期刊最新文献
The Knowledge and Application of Economics in Healthcare in a High-Income Country Today: The Case of Belgium. Non-Medical Switching or Discontinuation Patterns among Patients with Non-Valvular Atrial Fibrillation Treated with Direct Oral Anticoagulants in the United States: A Claims-Based Analysis. Proposal of a Knowledge Management Model for Complex Systems: Case of the Supervision and Control Subsystem of the Colombian Health System. Adoption of a Societal Perspective in Economic Evaluations of Musculoskeletal Disorders: A Conceptual Paper. Patient Experience and Satisfaction with Orthopedic Services at a Community (Rural) Setting Hospital-How Is It Different from Urban Setting.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1