Degenerative cervical myelopathy: Diagnosis and management in primary care.
Bibliographic record
Abstract
OBJECTIVE: To raise awareness about degenerative cervical myelopathy (DCM) and to help family physicians identify, diagnose, and manage DCM more effectively. SOURCES OF INFORMATION: . MAIN MESSAGE: Owing to limited knowledge of DCM in primary care, along with the large variability of the disease, the diagnosis of DCM is often missed or delayed. The natural course of DCM presents as a stepwise decline, with symptoms ranging from muscle weakness to complete paralysis. All individuals with signs and symptoms should be referred to a spine surgeon for consideration of surgery; those with mild DCM might be offered conservative treatment but should receive a surgical evaluation and opinion nonetheless. Asymptomatic patients with evidence of cord compression on magnetic resonance imaging might need to be referred for assessment; however, surgery is not advised. It is critical to closely monitor asymptomatic individuals or those with mild DCM for neurologic deterioration. CONCLUSION: Degenerative cervical myelopathy is the most common cause of spinal cord dysfunction in adults. This review helps streamline its diagnosis in primary care, allowing for improved chances of early diagnosis and prevention of further neurologic decline among patients.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.004 | 0.001 |
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".