Post-stroke cognitive impairment impact on motor rehabilitation: A historical cohort study
Bibliographic record
Abstract
Background Cognitive dysfunction is a common post-stroke sequelae with a negative impact on patient's functional independence. Objective Investigate the impact of post-stroke cognitive impairment on motor rehabilitation in the subacute phase, with a particular focus on executive functioning deficit. Methods A historical cohort was based on 145 clinical records over a period of 3 years and 5 months. A formal assessment of cognitive function was performed, using Montreal Cognitive Assessment (MoCA), INECO frontal screening (IFS) test and/or subtests of the Wechsler Adult Intelligence Scale (WAIS-III). Motor recovery was evaluated through the evolution of the motor Functional Independence Measure (FIM). Results Out of 145 included patients, 105 manifested post-stroke cognitive dysfunction (72.4%). Patients with mild or moderate stroke were most likely to present cognitive deficits (31.4% and 54.3%, p < .001). The most impaired domain was executive function (79%), manifested in isolation (20%) or combined (59%). In mild stroke, the difference between motor FIM at discharge and admission was significantly lower in the group of patients with isolated executive functioning deficit ( p = .027). Conclusions Isolated executive functioning impairment had a negative impact on motor recovery in mild stroke. No significant association was found between global cognitive dysfunction and the motor function evolution after stroke.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".