Cervical Spondylotic Myelopathy
Bibliographic record
Abstract
STUDY DESIGN: Narrative overview of the focus issue on cervical spondylotic myelopathy (CSM). OBJECTIVE: To provide an introduction to this special focus issue of Spine journal that deals with CSM. SUMMARY OF BACKGROUND DATA: CSM is a progressive spine disease and the leading cause of spinal cord dysfunction worldwide. The shift in population demographics in many parts of the world has motivated the development of this focus issue. With the overall aging of the population, we can predict that global health care systems will be confronted with an increase in patients presenting with degenerative spine changes and various stages of cervical myelopathy. METHODS: The articles in this issue vary in their methods-there are systematic reviews, narrative reviews, a study protocol, and 2 primary research articles. RESULTS: A summary of the findings of each article is provided as a table within this introduction. CONCLUSION: By way of this issue, we have summarized current knowledge gaps and limitations in the evidence to provide direction for future research and investigation. These include the need for a unified nomenclature for referring to CSM, the need to specify the incidence of myelopathy and the prevalence of ossification of the posterior longitudinal ligament, and the need to explore both the safety and efficacy of neuroprotective and neuroreparative pharmacological strategies. Further work is also required to optimize the management of patients with minimal symptoms.
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 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) | 0.014 | 0.007 |
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; both teacher heads 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".