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Ascertainment and Statistical Issues for Randomized Trials of Cardiovascular Interventions for Cognitive Impairment
Nicholas M Pajewski1, Michael C Donohue2, Rema Raman2
1Department of Biostatistics and Data Science (N.M.P., M.A.E.), Wake Forest University School of Medicine, Winston-Salem, NC.
Insights
Improving cardiovascular risk factors may slow cognitive decline. However, randomized trials face design challenges in measuring dementia prevention, requiring large studies with long follow-up.
Area of Science:
- Cardiovascular disease research
- Neurology
- Gerontology
Background:
- Cardiovascular disease prevention has advanced significantly, reducing morbidity and mortality.
- Emerging evidence suggests cardiovascular risk factor management may also impact cognitive decline and dementia.
- The SPRINT trial highlighted potential links between cardiovascular health and cognitive function.
Purpose of the Study:
- To review the design and analytic obstacles of randomized trials in assessing cognitive decline and dementia prevention.
- To discuss the selection of appropriate cognitive endpoints for future preventive trials.
- To identify key considerations for designing effective trials in this area.
Main Methods:
- Review of randomized trial methodologies, specifically referencing the SPRINT trial.
- Analysis of challenges in applying traditional cardiovascular trial designs to cognitive endpoints.
- Discussion of various cognitive endpoint options, including neuropsychological tests, adjudicated impairment, and biomarkers.
Main Results:
- Standard randomized trial designs face significant obstacles when applied to cognitive decline and dementia.
- Selecting appropriate cognitive endpoints involves complex statistical and clinical considerations.
- Challenges include statistical power, ascertainment methods, clinical relevance, interval censoring, missing data, competing risks, and practice effects.
Conclusions:
- Future trials investigating the cardiovascular contribution to cognitive decline require careful endpoint selection.
- These trials necessitate large sample sizes, diverse age groups, and extended follow-up periods.
- Ethical considerations, such as equipoise, are also crucial in trial design.
Abstract:
There has been considerable progress in the prevention and treatment of cardiovascular disease, reducing the population burden of cardiovascular morbidity and mortality. Recently, some randomized trials, including the SPRINT (Systolic Blood Pressure Intervention Trial), have suggested that improvements in cardiovascular risk factors may also slow cognitive decline and reduce the eventual development of dementia. Unfortunately, the randomized trial template that has been used repeatedly to successfully demonstrate reductions in major adverse cardiac events faces several design and analytic obstacles when applied in the context of cognitive decline and dementia. Here, we review these obstacles, motivated by SPRINT and the context of selecting an appropriate cognitive end point for future preventive randomized trials. A few options are available, spanning neuropsychological test scores or composites reflecting specific domains of cognitive function, adjudicated cognitive impairment, or potentially physiological biomarkers. This choice entails considerations around statistical power, modes of ascertainment, the clinical relevance of treatment effects, a myriad of statistical issues (interval censoring, missing data, the competing risk of death, practice effects, etc), as well as ethical considerations around equipoise. Collectively, these considerations indicate that trials aiming to mitigate the cardiovascular contribution to cognitive decline and dementia will generally need to be large, inclusive of a wide age range of older adults, and with multiple years of follow-up.
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