The Demographic, Clinical, and Magnetic Resonance Imaging (MRI) Features of Transverse Myelitis in Children
Bibliographic record
Abstract
The authors collected demographic, clinical, and neuroimaging data prospectively on 38 children with transverse myelitis. One child died during the illness. The female:male ratio was 1.2:1 for children under age 10 years and 2.6:1 over age 10 years. Twenty-eight (74%) reported a prodromal event. Twenty-two patients (58%) had longitudinally extensive transverse myelitis, 9 (24%) had focal lesions, and 5 (13%) had both. Twenty of 33 with brain imaging (61%) had brain lesions; 7 fulfilled McDonald criteria for dissemination in space. Seven of 22 (36%) tested had cerebrospinal fluid oligoclonal banding, 6 of whom had brain lesions. Serum neuromyelitis optica IgG antibodies were absent in all 20 of the children for whom this test was available. At follow-up (mean 3.2 ± 2.0 years), 16% are wheelchair-dependent, 22% have persisting bladder dysfunction, and 13% have been diagnosed with multiple sclerosis.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".