Bibliographic record
Abstract
PURPOSE OF REVIEW: Sleep has an important role to play in the human immune system and it is critical in the restoration and maintenance of homeostasis. Sleep deprivation and disorders may have a profound impact on health, well being and the ability to resist infection. Autoimmune rheumatic diseases are multisystem disorders that involve complicated hormonal and immunological pathophysiology. Previous studies have suggested that sleep deprivation may lead to immunological disturbance in experimental mouse models. RECENT FINDINGS: Sleep disorders may trigger immune system abnormalities inducing autoantibody production, possibly leading to the development of autoimmune disease such as systemic lupus erythematosus, scleroderma or rheumatoid arthritis. Indeed, in experimental models, it has been suggested that sleep deprivation may induce the onset of autoimmune disease. SUMMARY: Chronic deprivation of sleep is common in modern society and has been seen in various autoimmune inflammatory rheumatic diseases. We have reviewed various aspects of sleep deprivation and sleep apnoea syndrome, and their effects on the immune system and their relevance to autoimmune diseases. We hope that these data will encourage greater awareness of the role that improved sleep hygiene may play in the management of these rheumatic diseases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".