Int J Stroke. 2026 Jul 27:17474930261475853. doi: 10.1177/17474930261475853. Online ahead of print.
ABSTRACT
Most stroke trials conventionally use outcome measures that reflect a single point of concern, such as functional outcomes or neurological improvement. Such a focus has a limited capacity to reflect the holistic nature of clinical reality, where multiple facets of health are of importance.Other clinical areas are increasingly embracing alternative approaches that better reflect the multifaceted nature of health outcomes, driven by the development of Win Statistics methodology. These methods compare the outcomes for all possible pairs of patients from the treatment versus control group and summarise the treatment effect as a combination of proportions of such comparisons where the person from the treatment group has a better/worse outcome when compared to the person in the control group. In this context, “better outcome” is defined holistically, based on information collected across multiple health facets (e.g. mortality, symptom reduction and quality of life).Such approaches are highly applicable to stroke research. They are a direct extension of “Tournament Methods” that are already used to analyse modified Rankin Scale data, and several stroke trials have already adopted this new approach to better reflect the multifaceted nature of stroke. Despite this, there is little guidance available to stroke researchers who wish to make use of the approach. This article provides a review of how to effectively use Tournament Methods to reflect the multifaceted nature of stoke.We review how Tournament Methods may be used to estimate treatment effects that simultaneously consider multiple clinical outcomes.We describe methods that have been used within stroke to combine multiple clinical outcomes for Tournament Methods analysis, provide an overview of the effect size measure estimates commonly used to summarise treatment effects, and discuss both available statistical methods and software for the analysis, visualisation and reporting of Win Statistics. We provide practical recommendations for conducting and reporting statistical analyses under the Tournament Methods approach using published stroke trials as illustrative examples. We further present newly developed point-and-click software that provides easy access to statistical codes for conducting Tournament Methods analyses and facilitates the use of our recommendations.
PMID:42504538 | DOI:10.1177/17474930261475853
