Magnetic resonance white matter changesin patients with obstructive sleep apnoea.The subset of the PURE-MIND (Prospective Urbanand Rural Epidemiological) cohort study
Why this work is in the frame
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Bibliographic record
Abstract
Introduction: Changes typical for cerebral small vessel disease (i.a. white matter hyperintensities - WMHs) are often found accidentally in neuroimaging studies. Although asymptomatic, this condition increases the risk of future ischaemic incidents and neurodegenerative disorders. Sleep apnoea is a recognised risk factor for vascular diseases. The aim of our study was to assess the prevalence of, and association between, obstructive sleep apnea (OSA) and cerebral small vessel disease in the studied population. Material and methods: Two hundred and seven patients (participants of Prospective Urban Rural Epidemiology Study) took part in our study. The study group consisted of 31 patients with OSA (11 women and 20 men). Nine of them were diagnosed with mild OSA, 9 with moderate OSA, and 13 with severe OSA. The control group consisted of 176 patients (133 women and 43 men) who scored 0-2 points in the STOP-BANG questionnaire. All patients underwent brain magnetic resonance imaging. We evaluated the occurrence and severity of WMHs. Results: = 0.00580). In univariate analyses, age was a significant predictor of periventricular white matter changes. For subcortical area, age and waist-to-hip ratio were significant predictors. Conclusions: Significantly higher incidence of WMHs in the studied group suggests that patients with OSA may have a higher risk of neurodegeneration.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it