Update in Sleep and Control of Ventilation 2007
Bibliographic record
Abstract
with cognitive deficits and behavioral abnormalities, but this does not occur in all children and is not fully accounted for by OSA severity. Gozal and colleagues (3) hypothesized that C-reactive protein levels may identify children with OSA who have high susceptibility for cognitive abnormalities. In a community-based study of snoring and nonsnoring school-aged children (5–7 yr, n 5 278 subjects), C-reactive protein levels were measured in the morning after full polysomnography, and a battery of neurocognitive tests were also performed. C-reactive protein levels were nearly double in the children with OSA compared with control subjects (0.36 6 0.11 vs. 0.19 6 0.07 mg/dl). Importantly, these levels were further elevated in the children with OSA who also exhibited neurocognitive deficits compared with the children with OSA who had normal cognitive assessments, again with the difference being approximately twofold (0.48 6 0.12 vs. 0.21 6 0.08 mg/dl). Although cause and effect were not proven in this study, the results highlight that the level of systemic inflammation in pediatric sleepdisordered breathing, as indicated by C-reactive protein, is associated with adverse neurobehavioral outcomes. The effects of OSA on behavioral outcomes may relate to recent findings that exposure to long-term intermittent hypoxia in a mouse model of OSA causes irreversible impairments in the neuronal systems regulating wakefulness, especially selective loss of catecholaminergic arousal neurons via NADPH oxidase–mediated neuronal injury (4).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.012 |
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".