Effects of napping on neuromuscular fatigue in myasthenia gravis
Bibliographic record
Abstract
INTRODUCTION: The relationship between sleep and neuromuscular fatigue is understood poorly. The goal of this study was to evaluate the effects of napping on quantitative measures of neuromuscular fatigue in patients with myasthenia gravis (MG). METHODS: Eight patients with mild to moderate MG were recruited. Patients underwent maintenance of wakefulness tests (MWT) and multiple sleep latency tests (MSLT). The Quantitative Myasthenia Gravis Score (QMGS) was measured before nap and after each nap to examine the effects of napping and sleep on neuromuscular weakness. RESULTS: Results showed that QMGS improves only after naps where patients slept more than 5 min but not where patients did not sleep or slept less than 5 min. CONCLUSIONS: Daytime napping mitigates neuromuscular fatigue in patients with MG, especially if patients slept for more than 5 min.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".