| dc.contributor.author | Cipriani, Andrea | |
| dc.date.accessioned | 2024-01-03T17:11:13Z | |
| dc.date.available | 2024-01-03T17:11:13Z | |
| dc.date.issued | 2023-11 | |
| dc.identifier.citation | Chiocchia, V., Furukawa, T.A., Schneider-Thoma, J. et al. Estimating and visualising the trade-off between benefits and harms on multiple clinical outcomes in network meta-analysis. Syst Rev 12, 209 (2023) | en |
| dc.identifier.uri | https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/1334 | |
| dc.description | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. | en |
| dc.description.abstract | The relative treatment effects estimated from network meta-analysis can be employed to rank treatments from the most preferable to the least preferable option. These treatment hierarchies are typically based on ranking metrics calculated from a single outcome. Some approaches have been proposed in the literature to account for multiple outcomes and individual preferences, such as the coverage area inside a spie chart, that, however, does not account for a trade-off between efficacy and safety outcomes.
We present the net-benefit standardised area within a spie chart,
to explore the changes in treatment performance with different trade-offs between benefits and harms, according to a particular set of preferences.
Methods
We combine the standardised areas within spie charts for efficacy and safety/acceptability outcomes with a value λ specifying the trade-off between benefits and harms. We derive absolute probabilities and convert outcomes on a scale between 0 and 1 for inclusion in the spie chart.
Results
We illustrate how the treatments in three published network meta-analyses perform as the trade-off λ varies. The decrease of the
quantity appears more pronounced for some drugs, e.g. haloperidol. Changes in treatment performance seem more frequent when SUCRA is employed as outcome measures in the spie charts.
Conclusions
should not be interpreted as a ranking metric but it is a simple approach that could help identify which treatment is preferable when multiple outcomes are of interest and trading-off between benefits and harms is important. | en |
| dc.description.uri | https://doi.org/10.1186/s13643-023-02376-1 | en |
| dc.language.iso | en | en |
| dc.subject | Network Meta-Analysis | en |
| dc.title | Estimating and visualising the trade-off between benefits and harms on multiple clinical outcomes in network meta-analysis | en |
| dc.type | Article | en |