Sample size considerations to assess sex-related treatment effects

Randomized controlled trials (RCTs) represent the gold standard for establishing the efficacy of new interventions. Yet, RCTs are often conducted in selected populations, not representative of those at risk for or living with the disease. This lack of representativeness has raised concerns about the generalizability of RCT results to those populations not (adequately) represented in RCTs, in particular in the absence of evidence on potential differences in treatment effects across population subgroups. In the field of cardiovascular disease, women are often underrepresented in RCTs relative to disease burden. The present paper seeks to define representative participation of women in RCTs. Trial data from two cardiovascular trials, the ADVANCE trial and the LoDoCo2 trial, are used to illustrate sample size requirements for (i) achieving representative participation, (ii) achieving representative contribution to knowledge gained, and (iii) assessing whether treatment effects are the same or different in men and women (i.e. sex * treatment interactions). Achieving representative participation and representative contribution to knowledge gained requires relatively small increases in sample size and is mainly driven by sex differences in disease rates. However, sample size requirements for RCTs powered to assess sex differences in treatment effects are unfeasibly large. Hence, while efforts to enhance representative trial participation should continue, as RCTs provide the cornerstone for guideline recommendations and clinical decision-making, these should be complemented by mechanistic studies to provide insights in possible treatment interactions and inform optimal treatment for both women and men.

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Publication Details

Journal
European Heart Journal
Published
2025-12-09
DOI
https://doi.org/10.1093/eurheartj/ehaf1047
Primary Topic
Sex and Gender in Healthcare
Type
article
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article

Sample size considerations to assess sex-related treatment effects

Ron de Graaf, E. Boersma, M Zuidgeest, A. Van Der Steen et al.
European Heart Journal
Sex and Gender in Healthcare
article

Sample size considerations to assess sex-related treatment effects

Ron de Graaf, E. Boersma, M Zuidgeest, A. Van Der Steen, Lotty Hooft, Diederick E Grobbee, Mark Woodward, Sanne A E Peters, Marte F van der Bijl, Harriette G C van Spall, Otavio Berwanger, Ewout W Steyerberg
article en

Abstract

Randomized controlled trials (RCTs) represent the gold standard for establishing the efficacy of new interventions. Yet, RCTs are often conducted in selected populations, not representative of those at risk for or living with the disease. This lack of representativeness has raised concerns about the generalizability of RCT results to those populations not (adequately) represented in RCTs, in particular in the absence of evidence on potential differences in treatment effects across population subgroups. In the field of cardiovascular disease, women are often underrepresented in RCTs relative to disease burden. The present paper seeks to define representative participation of women in RCTs. Trial data from two cardiovascular trials, the ADVANCE trial and the LoDoCo2 trial, are used to illustrate sample size requirements for (i) achieving representative participation, (ii) achieving representative contribution to knowledge gained, and (iii) assessing whether treatment effects are the same or different in men and women (i.e. sex * treatment interactions). Achieving representative participation and representative contribution to knowledge gained requires relatively small increases in sample size and is mainly driven by sex differences in disease rates. However, sample size requirements for RCTs powered to assess sex differences in treatment effects are unfeasibly large. Hence, while efforts to enhance representative trial participation should continue, as RCTs provide the cornerstone for guideline recommendations and clinical decision-making, these should be complemented by mechanistic studies to provide insights in possible treatment interactions and inform optimal treatment for both women and men.

European Heart Journal
Utrecht University (NL), Erasmus MC (NL), Population Health Research Institute (CA), University Medical Center Utrecht (NL), UNSW Sydney (AU), Baim Institute for Clinical Research (US), Impact (CA), Imperial College London (GB), St. Joseph’s Healthcare Hamilton (CA), Hamilton Health Sciences (CA), Erasmus University Rotterdam (NL), McMaster University (CA)
Gender equality
Openalex Percentile: Top 23%
Sex and Gender in Healthcare
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