Workshop (Clinical/Best Practice Implementation) ID 2000430
Bibliographic record
Abstract
Background/Objectives Sleep disorders are more common among individuals living with spinal cord injury and spinal cord disease (SCI/D) than among non-disabled people. Upon completion of this workshop, attendees will (1) understand the pathophysiology, diagnosis, classification, clinical consequences and management of the most common sleep disorders in non-disabled people; (2) recognise the current knowledge, knowledge gaps, and recently research-generated knowledge on sleep disorders in individuals living with SCI/D; and (3) appreciate the use of an educational tool to raise awareness on sleep disorders among individuals with SCI/D. Methods/Overview This workshop will include two 20-minute lectures with illustrative cases followed by open discussion on the following topics: (i) pathophysiology, diagnosis, classification, clinical consequences and management of the most common sleep disorders in non-disabled people; and (ii) the current knowledge, knowledge gaps, and recently research-generated knowledge on sleep disorders in individuals living with SCI/D. Finally, an example of educational tool on sleep for individuals living with SCI/D will be presented. Results Untreated sleep disorders can have significant short-term and long-term consequences. Early diagnosis and timely treatment is key in the prevention or mitigation of consequences of sleep disorders. Proper management of sleep disorders can have psychosocial and functional impacts on the lives of individuals with SCI/D; it may also mitigate other secondary medical conditions after SCI/D. Finally, there is a pressing need to raise awareness of this issue among individuals living with SCI/D and healthcare professionals. Conclusion Sleep disorders are common and understudied in the SCI/D population. Early diagnosis and proper treatment is key to improve the lives of individuals with SCI/D and, likely, reduce other secondary medical conditions from SCI/D. Raising awareness on sleep disorders among individuals with SCI/D is needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.603 | 0.325 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".