ABSTRACT
Introduction
No recent full-text-based systematic review has been published to examine economic evidence around acute myeloid leukemia (AML) or chronic lymphocytic leukemia (CLL) treatment. We aimed to perform a systematic review in this area.
Areas covered
This review entailed searches in three main databases for economic evaluations of treatment in AML or CLL. After title and abstract screening, two reviewers examined all the citations in full text. Any disagreement between the two reviewers was resolved through discussion with the third reviewer. We used predesigned tools for data extraction, including study characteristics, primary results and conclusions. The quality of included studies was assessed.
Expert opinion
The majority of the studies adopted the modeling approach to estimate the long-term cost-effectiveness of the treatment from the healthcare system payer’s perspective. Most studies concluded that the evaluated treatment interventions for untreated or refractory AML or CLL were cost-effective across various jurisdictions. The EQ-5D, followed by time trade-off and standard-gamble, was the most commonly used outcome measure to derive the utility weights associated with each health state. Clear justifications for the choice of modeling technique are recommended for future studies. Collecting the health-related quality of life outcome using a common instrument over the clinical trial could aid the comparability among economic studies.
Article highlights
The majority of the studies adopted the modeling approach to estimate the long-term cost-effectiveness of the treatment from the healthcare system payer’s perspective
Most studies concluded that the evaluated treatment interventions for untreated or refractory AML or CLL were cost-effective
Markov and partitioned survival models are the most used modeling techniques
The overall quality of the published cost-effectiveness analysis was good
It is recommended that health economists need carefully consider and justify the appropriate modeling techniques
Declaration of Interest
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
Reviewer disclosures
Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/17474086.2022.2125376