Cuijpers Pim, Miguel Clara, Papola Davide, Harrer Mathias, Karyotaki Eirini
Department of Clinical, Neuro and Developmental Psychology, Amsterdam Public Health research institute, Vrije Universiteit, Amsterdam, The Netherlands
Babeș-Bolyai University, International Institute for Psychotherapy, Cluj-Napoca, Romania.
Evid Based Ment Health. 2022 Jul 19;25(4):145-7. doi: 10.1136/ebmental-2022-300509.
Because of the rapidly increasing number of randomised controlled trials (RCTs) and meta-analyses in many fields, there is an urgent need to step up from meta-analyses to higher levels of aggregation of outcomes of RCTs. Network meta-analyses and umbrella reviews allow higher levels of aggregation of RCT outcomes, but cannot adequately cover the evidence for a whole field. The 'Meta-Analytic Research Domain' (MARD) may be a new methodology to aggregate RCT data of a whole field. A MARD is a living systematic review of a research domain that cannot be covered by one PICO. For example, a MARD of psychotherapy for depression covers all RCTs comparing the effects of all types of psychotherapy to control conditions, to each other, to pharmacotherapy and combined treatment. It also covers all RCTs comparing treatment formats, the effects in different target groups, subtypes of depression and secondary outcomes. Although the time and resources needed to build a MARD are considerable, they offer many advantages, including a comprehensive and consistent overview of a research field and important meta-analytic studies that cannot be conducted with conventional methods. MARDs are a promising method to step up the aggregation of RCTs to a next level and it is highly relevant to work out the methods of this approach in a more detailed way.
由于许多领域中随机对照试验(RCT)和荟萃分析的数量迅速增加,迫切需要从荟萃分析提升到对RCT结果进行更高层次的汇总。网络荟萃分析和伞状综述能够对RCT结果进行更高层次的汇总,但无法充分涵盖整个领域的证据。“元分析研究领域”(MARD)可能是一种汇总整个领域RCT数据的新方法。MARD是对一个研究领域的动态系统评价,该领域无法用一个PICO来涵盖。例如,抑郁症心理治疗的MARD涵盖了所有将各类心理治疗的效果与对照条件、相互之间、与药物治疗及联合治疗进行比较的RCT。它还涵盖了所有比较治疗形式、不同目标群体中的效果、抑郁症亚型及次要结局的RCT。尽管构建一个MARD所需的时间和资源相当可观,但它们具有许多优势,包括对一个研究领域进行全面且一致的概述,以及开展传统方法无法进行的重要荟萃分析研究。MARD是将RCT汇总提升到更高水平的一种有前景的方法,更详细地制定这种方法的具体方式具有高度的相关性。