Literature DB >> 34645708

Representation of Women in Stroke Clinical Trials: A Review of 281 Trials Involving More Than 500,000 Participants.

Cheryl Carcel1, Katie Harris2, Sanne A E Peters2, Else Charlotte Sandset2, Grace Balicki2, Cheryl D Bushnell2, Virginia J Howard2, Mathew J Reeves2, Craig S Anderson2, Peter J Kelly2, Mark Woodward2.   

Abstract

BACKGROUND AND OBJECTIVES: Women have been underrepresented in cardiovascular disease clinical trials but there is less certainty over the level of disparity specifically in stroke. We examined the participation of women in trials according to stroke prevalence in the population.
METHODS: Published randomized controlled trials with ≥100 participants enrolled between 1990 and 2020 were identified from ClinicalTrials.gov. To quantify sex disparities in enrollment, we calculated the participation to prevalence ratio (PPR), defined as the percentage of women participating in a trial vs the prevalence of women in the disease population.
RESULTS: There were 281 stroke trials eligible for analyses with a total of 588,887 participants, of whom 37.4% were women. Overall, women were represented at a lower proportion relative to their prevalence in the underlying population (mean PPR 0.84; 95% confidence interval [CI] 0.81-0.87). The greatest differences were observed in trials of intracerebral hemorrhage (PPR 0.73; 95% CI 0.71-0.74), trials with a mean age of participants <70 years (PPR 0.81; 95% CI 0.78-0.84), nonacute interventions (PPR 0.80; 95% CI 0.76-0.84), and rehabilitation trials (PPR 0.77; 95% CI 0.71-0.83). These findings did not significantly change over the period from 1990 to 2020 (p for trend = 0.201). DISCUSSION: Women are disproportionately underrepresented in stroke trials relative to the burden of disease in the population. Clear guidance and effective implementation strategies are required to improve the inclusion of women and thus broader knowledge of the impact of interventions in clinical trials.
© 2021 American Academy of Neurology.

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Year:  2021        PMID: 34645708     DOI: 10.1212/WNL.0000000000012767

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  3 in total

Review 1.  Sex-Specific Differences in Cardiovascular Risk, Risk Factors and Risk Management in the Peripheral Arterial Disease Population.

Authors:  Anna Louise Pouncey; Mark Woodward
Journal:  Diagnostics (Basel)       Date:  2022-03-25

2.  Evaluating Age, Sex, Racial, and Ethnic Representation in Acute Ischemic Stroke Trials, 2010 to 2020: A Systematic Review and Meta-Analysis.

Authors:  Emily K Acton; Mohammad Hossein Abbasi; Scott E Kasner
Journal:  J Am Heart Assoc       Date:  2022-04-18       Impact factor: 6.106

3.  Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department.

Authors:  Joshua Cohen; Jennifer Wright-Berryman; Lesley Rohlfs; Douglas Trocinski; LaMonica Daniel; Thomas W Klatt
Journal:  Front Digit Health       Date:  2022-02-02
  3 in total

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