Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, Sao Paulo, Brazil.
Health Technology Assessment Unit, Hospital Alemão Oswaldo Cruz, Sao Paulo, Brazil
BMJ Open. 2023 Jul 19;13(7):e072156. doi: 10.1136/bmjopen-2023-072156.
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.
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.
No ethical approval is required for this study. The results of this scoping review will be disseminated through peer-reviewed publications.
匹配调整间接比较(MAIC)研究是间接比较的一种亚型,它使用倾向评分加权来增强可比性。该方法根据个体患者数据中的协变量调整汇总数据,以生成人群调整的间接比较。一些国家的卫生技术评估机构最近收到了包含 MAIC 模型的提交。然而,当它们报告不充分且与其他技术不一致时,其估计值可能缺乏信心。本研究的目的是绘制用于肿瘤学领域药理学治疗的 MAIC 研究的特征、概念和方法学图谱。
将采用 Joanna Briggs 研究所框架的范围综述方法,并根据系统评价和荟萃分析扩展的首选报告项目报告结果用于范围综述。将考虑使用 MAIC 比较肿瘤学条件下治疗的研究符合条件。将在 PubMed、Embase 和 Cochrane 图书馆中进行系统搜索。不会对地点或语言施加限制。研究筛选将记录并以系统评价和荟萃分析首选报告项目流程图呈现。数据将从预定义的数据表中提取和记录,并以表格形式呈现,附有描述性摘要。
本研究不需要伦理批准。这项范围综述的结果将通过同行评审的出版物传播。