Detection of syringomyelia in a pediatric patient with mild scoliosis: a case report.
Bibliographic record
Abstract
It can be challenging to detect syringomyelia in patients with scoliosis, as some cases are mildly symptomatic with little to no neurological deficits. However, a timely diagnosis of syringomyelia is needed to facilitate important treatment considerations. This case report details an 11-year-old female with mild scoliosis and a two-year history of spinal pain that had short-term symptomatic relief from chiropractic treatment. Subtle neurological signs were detected only at re-evaluation, which prompted further investigation with radiographs and subsequent magnetic resonance imaging (MRI). MRI revealed a non-expansile syrinx measuring 3 mm at its widest diameter that extended from C5 to the conus medullaris. The aim of this case is to heighten awareness of the potential diagnostic challenges in patients with syringomyelia and scoliosis. The incidence, pathogenesis, clinical presentation, and management of syringomyelia will be presented to help primary contact providers with appropriate referral and co-management of these 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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".