Correlation between cognitive impairment and sleep structure in patients with early Alzheimer’s disease
Bibliographic record
Abstract
Objective: To analyze the characteristics of sleep structure and its correlation with cognitive impairment in early Alzheimer’s disease(AD) patients by assessing cognitive function and polysomnography. Methods: Eighty-eight elderly patients who underwent polysomnography were retrospectively analyzed and enrolled. According to the presence or absence of cognitive impairment, 39 patients were in the control group with a total score of montreal cognitive assessment (MoCA) score more than or equal to 26, 49 patients were in the AD group, with a total MoCA score less than 26 and a clinical dementia rating scale (CDR) score=0.5. Pearson correlation analysis and Spearman rank correlation analysis were used to explore the sleep structure characteristics of the early AD patients and its correlation with cognitive impairment. Results: Compared with the control group, the early AD group had statistically significant differences in MoCA, CDR, Hamilton Depression Scale (HAMD), micro perception index, non-rapid eye movement(NREM)/total sleep time (TST)%, N4 stage (N4)/TST% and REM /TST% (P<0.05). Multiple linear regression results showed that N/TST%, N4/TST% and rapid eye movement (REM)/TST% were the key risk factors of cognitive impairment in early AD patients (P<0.05). Conclusions: Patients with early AD have increased microarousal index and proportion of NREM sleep and N4 sleep, and decreased proportion of REM sleep, which are closely related to cognitive impairment. The proportion of NREM sleep, N4 sleep and REM sleep may be potential early warning indicators of cognitive impairment in early AD.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Clinical study correlating sleep structure with cognitive impairment in early Alzheimer's disease.
It studies sleep structure and cognitive impairment in Alzheimer's disease, not research itself.
Clinical correlation of sleep architecture and cognition in early Alzheimer disease.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".