Sleep disorders and illness intrusiveness in patients on chronic dialysis
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
BACKGROUND: The prevalence of sleep problems (insomnia, restless legs syndrome, periodic limb movements in sleep and sleep apnoea) has been shown to be high in patients with end-stage renal disease (ESRD) and might contribute to impaired quality of life in this population. METHODS: In a cross-sectional study using self-administered questionnaires, we examined the prevalence of sleep disorders and assessed their effect on different aspects of health-related quality of life in a sample of Hungarian patients on maintenance dialysis. RESULTS: Our data confirm that sleep problems are frequent in patients with ESRD; 65% of the patients reported symptoms of at least one specific sleep disorder; insomnia was the most common sleep complaint with 49%, the prevalence of sleep apnoea was 32% and the prevalence of restless legs syndrome was 15%. Co-morbidity, assessed by the End-Stage Renal Disease Severity Index, was shown to be an independent predictor of sleep disorders. Patients with sleep disorders reported higher illness intrusiveness and worse self-perceived health than those without sleep problems. The presence of sleep disorders was an independent predictor of illness intrusiveness, an important determinant of health-related quality of life. CONCLUSION: Sleep disorders are important determinants of illness intrusiveness and health-related quality of life in patients with ESRD. Sleep problems may be treated successfully; therefore, more attention should be paid to assessing these problems in this patient population.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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