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

Author:

Macabeo Bérengère12ORCID,Quenéchdu Arthur3ORCID,Aballéa Samuel14,François Clément1,Boyer Laurent1ORCID,Laramée Philippe1

Affiliation:

1. Department of Public Health, Aix-Marseille University, 13005 Marseille, France

2. Pierre Fabre Laboratories, 92100 Paris, France

3. Amaris, Montréal, QC H2Y 2N1, Canada

4. InovIntell, 3023GJ Rotterdam, The Netherlands

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.

Funder

Pierre Fabre Laboratories

Publisher

MDPI AG

Reference59 articles.

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2. Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen (IQWIG) (2023, July 18). General Methods. Available online: https://www.iqwig.de/methoden/general-methods_version-6-1.pdf.

3. National Institute for Health and Care Excellence (NICE) (2023, July 18). NICE Health Technology Evaluations: The Manual: Process and Methods [PMG36]. Available online: https://www.nice.org.uk/process/pmg36/chapter/evidence.

4. Tezepelumab compared with other biologics for the treatment of severe asthma: A systematic review and indirect treatment comparison;Steenkamp;J. Med. Econ.,2022

5. Indirect treatment comparison of cenobamate to other ASMs for the treatment of uncontrolled focal seizures;Privitera;Epilepsy Behav.,2022

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