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From living systematic reviews to meta-analytical research domains

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 o...

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Autores principales: Cuijpers, Pim, Miguel, Clara, Papola, Davide, Harrer, Mathias, Karyotaki, Eirini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685685/
https://www.ncbi.nlm.nih.gov/pubmed/35853730
http://dx.doi.org/10.1136/ebmental-2022-300509
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author Cuijpers, Pim
Miguel, Clara
Papola, Davide
Harrer, Mathias
Karyotaki, Eirini
author_facet Cuijpers, Pim
Miguel, Clara
Papola, Davide
Harrer, Mathias
Karyotaki, Eirini
author_sort Cuijpers, Pim
collection PubMed
description 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.
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spelling pubmed-96856852022-11-25 From living systematic reviews to meta-analytical research domains Cuijpers, Pim Miguel, Clara Papola, Davide Harrer, Mathias Karyotaki, Eirini Evid Based Ment Health Perspective 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. BMJ Publishing Group 2022-11 2022-07-19 /pmc/articles/PMC9685685/ /pubmed/35853730 http://dx.doi.org/10.1136/ebmental-2022-300509 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Perspective
Cuijpers, Pim
Miguel, Clara
Papola, Davide
Harrer, Mathias
Karyotaki, Eirini
From living systematic reviews to meta-analytical research domains
title From living systematic reviews to meta-analytical research domains
title_full From living systematic reviews to meta-analytical research domains
title_fullStr From living systematic reviews to meta-analytical research domains
title_full_unstemmed From living systematic reviews to meta-analytical research domains
title_short From living systematic reviews to meta-analytical research domains
title_sort from living systematic reviews to meta-analytical research domains
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685685/
https://www.ncbi.nlm.nih.gov/pubmed/35853730
http://dx.doi.org/10.1136/ebmental-2022-300509
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