ABSTRACT
INTRODUCTION: Matching-adjusted indirect comparison (MAIC) studies are a subtype of indirect comparison, which uses propensity score weighting to enhance comparability. This method adjusts aggregated data based on covariables from individual patient data from studies to produce population-adjusted indirect comparisons. Some national Health Technology Assessment agencies have recently received submissions containing MAIC models. However, there can be a lack of confidence in its estimates when they are poorly reported and inconsistent with other techniques. The objective of this study is to map the characteristics, concepts and methodology of MAIC studies used for pharmacological therapies in the field of oncology. METHODS AND ANALYSIS: A scoping review methodology will be applied following the Joanna Briggs Institute framework and the results will be reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses Extension for Scoping Reviews. Studies that used MAIC to compare treatments in oncology conditions will be considered eligible. A systematic search will be conducted in PubMed, Embase and the Cochrane Library. No restriction of location or language will be applied. Study screening will be documented and presented in a Preferred Reporting Items for Systematic reviews and Meta-Analyses flow diagram. Data will be extracted and recorded on a predefined data form and will be presented in a tabular form accompanied by a descriptive summary. ETHICS AND DISSEMINATION: No ethical approval is required for this study. The results of this scoping review will be disseminated through peer-reviewed publications.
