Observational studyStroke2025
StrokeCog-15 Is an Efficient Neuropsychological Battery to Screen for Cognitive Impairment in Chronic Stroke.
Observational study in Stroke, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Do Current Endpoints Underestimate Benefit in MeVO Stroke? A Call for Cognitive Profiling.Clinical neuroradiology · 2026Article
- Article
- A composite measure of cerebral small vessel disease predicts cognitive change after stroke.medRxiv : the preprint server for health sciences · 2026Article
- Longitudinal plasma interleukin-6 and post-stroke cognitive outcomes: The Stroke-IMPaCT study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundPoststroke cognitive impairment can significantly impact functional outcomes and quality of life. While comprehensive neuropsychological evaluations are valuable in characterizing this impairment, their time-intensive nature is not always feasible. Thus, we set out to develop a brief cognitive battery that is sensitive to poststroke cognitive impairment.
methodsNeuropsychological testing was completed in a validation sample of 126 participants with chronic ischemic stroke (median days since stroke, 337 [interquartile range, 235-1057]) as part of StrokeCog, a prospective observational cohort study. This comprehensive 60-minute cognitive battery contained 9 tests covering 5 cognitive domains. A partial least square regression analysis informed the selection of a brief, 15-minute battery of 4 tests (StrokeCog-15) covering 4 cognitive domains: language, memory, working memory, and processing speed/executive functioning. We then compared StrokeCog-15 with Montreal Cognitive Assessment and an established 30-minute battery in its ability to detect cognitive impairment as identified by the comprehensive battery. Finally, we assessed the utility of StrokeCog-15 in an external validation sample of 61 participants (median days since stroke, 210 [interquartile range, 193-230]) enrolled in the parallel Stroke-IMPaCT study (Stroke-Immune Mediated Pathways and Cognitive Trajectory).
resultsCognitive impairment was common, occurring in 50% (n=61) and 66% (n=40) of the 2 cohorts. Deficits occurred most frequently in the memory and processing speed/executive functioning domains. In the derivation sample, StrokeCog-15 demonstrated high sensitivity (0.97) and adequate specificity (0.78) in detecting cognitive impairment on the comprehensive battery, outperforming both Montreal Cognitive Assessment (sensitivity, 0.77; specificity, 0.73) and the 30-minute battery (sensitivity, 0.97; specificity, 0.35). StrokeCog-15 similarly demonstrated high sensitivity (0.93) and adequate specificity (0.67) in the validation sample.
conclusionsA brief 15-minute battery of tests has high sensitivity to detect cognitive impairment as identified on a longer neuropsychological test battery. StrokeCog-15 assesses multiple cognitive domains commonly impacted by stroke and represents an efficient yet effective means to identify chronic poststroke cognitive impairment.
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