Incorporating dose effects in network meta-analysis. (18th January 2022)

• Record Type: Journal Article
• Authors: Watt, Jennifer A; Del Giovane, Cinzia; Jackson, Dan; Turner, Rebecca M; Tricco, Andrea C; Mavridis, Dimitris; Straus, Sharon E; Veroniki, Areti-Angeliki
• Is Part Of: BMJ. Volume 376(2022)
• Publication Date: 2022-01-18
• Subjects: Medicine -- Periodicals; Medicine -- Periodicals; Medicine; Periodicals; 610
• DOI: 10.1136/bmj-2021-067003
• Languages: English
• ISSNs: 0007-1447

Abstract

Abstract : Systematic reviews with network meta-analysis that ignore potential dose effects could limit the applicability and validity of review findings. This article aims to help content experts (eg, clinicians), methodologists, and statisticians better understand how to incorporate dose effects in network meta-analysis. Three models are described that make different clinical and statistical assumptions about how to model dose effects. This article also illustrates the importance of dose effects in understanding the potential risk of harm in people with dementia from cerebrovascular events associated with atypical antipsychotic drug use (quetiapine, olanzapine, and risperidone) and the potential risk of harm in people with nausea and headache associated with cholinesterase inhibitor use (donepezil, galantamine, and rivastigmine). Finally, important considerations when choosing between different network meta-analysis models incorporating dose effects are discussed.