Development of a Swedish short version of the Montreal Cognitive Assessment for cognitive screening in patients with stroke
Bibliographic record
Abstract
Objective: The primary objective was to develop a Swedish short version of the Montreal Cognitive Assessment (s-MoCA-SWE) for use with patients with stroke. Secondary objectives were to identify an optimal cut-off value for the s-MoCA-SWE to screen for cognitive impairment and to compare its sensitivity with that of previously developed short forms of the Montreal Cognitive Assessment.Design: Cross-sectional study.Subjects/patients: Patients admitted to stroke and rehabilitation units in hospitals across Sweden.Methods: Cognition was screened using the Montreal Cognitive Assessment. Working versions of the s-MoCA-SWE were developed using supervised and unsupervised algorithms.Results: Data from 3,276 patients were analysed (40% female, mean age 71.5 years, 56% minor stroke at admission). The suggested s-MoCA-SWE comprised delayed recall, visuospatial/executive function, serial 7, fluency, and abstraction. The aggregated scores ranged from 0 to 16. A threshold for impaired cognition ≤ 12 had a sensitivity of 97.41 (95% confidence interval, 96.64–98.03) and positive predictive value of 90.30 (95% confidence interval 89.23–91.27). The s-MoCA-SWE had a higher absolute sensitivity than that of other short forms.Conclusion: The s-MoCA-SWE (threshold ≤ 12) can detect post-stroke cognitive issues. The high sensitivity makes it a potentially useful “rule-out” tool that may eliminate severe cognitive impairment in people with stoke. LAY ABSTRACTStroke survivors have an increased risk of developing cognitive impairment, a common consequence of stroke. Therefore, many international guidelines recommend cognitive screening for all patients admitted to hospital with stroke. The Montreal Cognitive Assessment (MoCA) has been recommended as an appropriate cognitive test to be applied in stroke units. Although the administration of MoCA takes approximately 15 min, the screening can take longer in patients with acute stroke. Therefore, this study aimed to develop a Swedish short version of the Montreal Cognitive Assessment (s-MoCA-SWE) based on data from a large Swedish sample of acute and early subacute stroke survivors. The current study analysed data from 3,276 patients and suggest an s-MoCA-SWE that comprised the following tasks: delayed recall, visuospatial/executive function, serial 7, fluency, and abstraction. The s-MoCA-SWE could identify cognitive impairment in 97% of patients. In conclusion, s-MoCA-SWE has the potential to rule out severe cognitive impairment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".