Incorporating dose effects in network meta-analysis.

Watt, Jennifer A; Del Giovane, Cinzia; Jackson, Dan; Turner, Rebecca M; Tricco, Andrea C; Mavridis, Dimitris; Straus, Sharon E; Veroniki, Areti-Angeliki (2022). Incorporating dose effects in network meta-analysis. BMJ, 376, e067003. BMJ Publishing Group 10.1136/bmj-2021-067003

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Medical Education > Institute of General Practice and Primary Care (BIHAM)

UniBE Contributor:

Del Giovane, Cinzia

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1756-1833

Publisher:

BMJ Publishing Group

Language:

English

Submitter:

Andrea Flükiger-Flückiger

Date Deposited:

27 Jan 2022 18:14

Last Modified:

05 Dec 2022 16:05

Publisher DOI:

10.1136/bmj-2021-067003

PubMed ID:

35042687

BORIS DOI:

10.48350/164853

URI:

https://boris.unibe.ch/id/eprint/164853

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