Application Value of Montreal Cognitive Assessment in Lacunar Infarction Patients with Cognitive Impairment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective To analyze the application value of Montreal Cognitive Assessment(MoCA)(Chinese version) in detecting cognitive impairment in patients with lacunar infarction(LI).Methods The patients confirmed with LI were first screened by Mini-Mental State Examination(MMSE),and patients having normal MMSE score were further assessed by MoCA after education adjustment(26 as the cut-off score).The patients with MoCA score less than 26 were selected as cognitive impaired LI-CI group and the patients with more than 26 were selected as normal control LI-NC group.MoCA score,MMSE score and scores of each cognitive field of MoCA were compared between the two groups.Results 53%(50/94) LI patients with normal MMSE score had MoCA socre26,and these patients′ cognitive function showed statistically significant difference with the patients who had MoCA socre≥26(P0.01).The scores of visuospatial and executive function,naming,Abstract and delayed recall of the LI-CI group showed statistically significant differences with those of the LI-NC group(P0.05).Conclusion MoCA is more sensitive than MMSE in screening cognitive impairment in LI patients.The cognitive impairments of patients with normal MMSE but abnormal MoCA are mainly visuospatial and executive function,naming,delayed recall,Abstract and so on.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 it