Estimating and visualising the trade-off between benefits and harms on multiple clinical outcomes in network meta-analysis.

Chiocchia, Virginia; Furukawa, Toshi A; Schneider-Thoma, Johannes; Siafis, Spyridon; Cipriani, Andrea; Leucht, Stefan; Salanti, Georgia (2023). Estimating and visualising the trade-off between benefits and harms on multiple clinical outcomes in network meta-analysis. Systematic Reviews, 12(1), p. 209. BioMed Central 10.1186/s13643-023-02376-1

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BACKGROUND

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, [Formula: see text] 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 [Formula: see text] 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

[Formula: see text] 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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

Graduate School:

Graduate School for Health Sciences (GHS)

UniBE Contributor:

Chiocchia, Virginia, Salanti, Georgia

Subjects:

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

ISSN:

2046-4053

Publisher:

BioMed Central

Funders:

[4] Swiss National Science Foundation

Language:

English

Submitter:

Pubmed Import

Date Deposited:

13 Nov 2023 14:21

Last Modified:

26 Nov 2023 02:26

Publisher DOI:

10.1186/s13643-023-02376-1

PubMed ID:

37951949

Uncontrolled Keywords:

Benefits Harms Multiple outcomes Network meta-analysis Spie charts Trade-off Treatment performance

BORIS DOI:

10.48350/188810

URI:

https://boris.unibe.ch/id/eprint/188810

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