[Neuropsychological features of elderly patients with mild cognitive impairment susceptible to Alzheimer's disease].
Bibliographic record
Abstract
OBJECTIVE: To explore the neuropsychological features of elderly patients with mild cognitive impairment (MCI) susceptible to Alzheimer's disease (AD). METHODS: A total of 47 patients with MCI diagnosed from June to October 2008 and 21 controls with normal cognition at the same convalescent camp were selected and followed up for two years. Montreal cognitive assessment (MoCA), mini mental state examination (MMSE) and clock drawing test (CDT) were performed for all subjects at the onset of study and repeated annually. RESULTS: At Month 12, the visuospatial skill scores of MCI patients decreased significantly versus those of the control (0.6 ± 0.7 vs 0.1 ± 0.6, P = 0.008). No one progressed to AD in neither groups. And at Month 24, both visuospatial skill scores (0.9 ± 0.9 vs 0.4 ± 0.9) and attention scores (1.0 ± 1.0 vs 0.2 ± 0.8) of MCI patients declined significantly versus the control (P = 0.021, 0.001). Among 47 MCI patients, 7 progressed to AD. No obvious difference existed in the score of all items between the AD converters and non-converters at baseline. However, the scores of MMSE (27.6 ± 0.8 vs 28.9 ± 1.0), MoCA (24.3 ± 3.1 vs 27.9 ± 1.6) and such MoCA subitems as visuospatial skill (3.9 ± 0.7 vs 4.5 ± 0.6), language (1.86 ± 0.38 vs 2.65 ± 0.53) and delayed recall (2.1 ± 1.5 vs 3.9 ± 1.0) of the converters were obviously lower than those of the non-converters at Month 12 (P < 0.05). Furthermore, all other scores of the AD converters, except for designation and abstract, were significantly lower than those of the non-converters at Month 24 (P < 0.05). CONCLUSION: The visuospatial skill, executive function, delayed recall and language function of MCI patients progressing to AD tend to have early impairment and significant changes. It may be useful to predict AD among the MCI patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 0.001 |
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".