Exploration of the application of Picture-Based Memory Impairment Screen in stroke patients in a preliminary study
Bibliographic record
Abstract
Objective The objective was to explore the validity and reliability of the Picture-Based Memory Impairment Screen (PMIS) assessment tool in stroke patients and to provide an objective basis for its application in China.Methods: A total of 30 stroke patients in the Department of Rehabilitation Medicine were assessed using the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), and the PMIS. The results were evaluated by content validity, simultaneous validity, consistency test of instruments of assessment, inter-scorer reliability, and retest reliability.Results: The correlation coefficient between each item score and total score of PMIS was between 0.422 and 0.778 (p < 0.05), showing good content validity. The total score of PMIS was moderately positively correlated with the MMSE short-term memory score (p < 0.001), highly positively correlated with the MMSE long-term memory score and retrospective memory score (p < 0.001), and highly positively correlated with the MoCA long-term memory score, memory index and total score (p < 0.001), indicating good criterion validity. The consistency test of the two instruments of assessment showed that a PMIS ≤ 5 was used as the demarcation score for dementia, and it was tested for consistency with the MMSE dementia score of stroke patients, and the Kappa value was 0.81 (p < 0.001). The inter-scorer reliability and retest reliability were good (inter-scorer reliability intra-group correlation coefficient (ICC) >0.95; retest reliability ICC 0.904).Conclusion: The PMIS was a reliable and valid assessment tool, which can be used as memory impairment screening tool for stroke patients in China.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".