[Sleep disturbance and cognitive dysfunction in patients with persistent postural and perceptual dizziness].
Bibliographic record
Abstract
OBJECTIVE: To study sleep quality and cognitive status and their correlation in patients with persistent postural and perceptual dizziness (PPPD). METHODS: We assessed sleep quality and cognitive function among 70 patients with PPPD and 70 age-matched heathy volunteers using Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Pittsburgh Sleep Quality Index and polysomnography (PSG). RESULTS: The patients had a mean MMSE score of 25.10±3.87 and a mean MoCA score of 23.10±6.11, both suggesting mild cognitive impairment of the patients. The mean PSQI score of the patients was 14.60 ± 2.06, suggesting moderate insomnia among the patients. The MMSE scores in 3 dimensions (attention, memory and recall ability) and the dimension scores of MoCA for visual space and executive ability, attention and delayed recall all showed significant positive correlations with PSQI scores for sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disorders and daytime dysfunction. CONCLUSIONS: Moderate sleep disorder and mild cognitive dysfunction are common in PPPD patients. Sleep quality is correlated with cognitive function among these patients, suggesting that improving sleep quality of the patients helps to improve their cognitive function.
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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) | 0.000 | 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".