Cognitive impairment in lacunar strokes: The SPS3 trial
Bibliographic record
Abstract
OBJECTIVE: Lacunar strokes are a leading cause of cognitive impairment and vascular dementia. However, adequate characterization of cognitive impairment is lacking. The aim of this study was to estimate the prevalence and characterize the neuropsychological impairment in lacunar stroke patients. METHODS: All English-speaking participants in the Secondary Prevention of Small Subcortical Strokes (SPS3) trial (National Clinical Trial 00059306) underwent neuropsychological testing at baseline. Raw scores were converted to z scores using published norms. Those with impairment (z ≤ -1.5) in memory and/or nonmemory domains were classified as having mild cognitive impairment (MCI). RESULTS: Among the 1,636 participants, average z scores on all tests were < 0, with the largest deficits seen on tests of episodic memory (range of means, -0.65 to -0.92), verbal fluency (mean, -0.89), and motor dexterity (mean, -2.5). Forty-seven percent were classified as having MCI (36% amnestic, 37% amnestic multidomain, 28% nonamnestic). Of those with modified Rankin score 0-1 and Barthel score = 100, 41% had MCI. Younger age (odds ratio [OR] per 10-year increase, 0.87), male sex (OR, 1.3), less education (OR, 0.13-0.66 for higher education levels compared to 0-4 years education), poststroke disability (OR, 1.4), and impaired activities of daily living (OR, 1.8) were independently associated with MCI. INTERPRETATION: In this large, well-characterized cohort of lacunar stroke patients, MCI was present in nearly half, including many with minimal or no physical disabilities. Cognitive dysfunction in lacunar stroke patients may commonly be overlooked in clinical practice but may be as important as motor and sensory sequelae.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".