Acute Demyelination In Children: Predicting Pediatric Multiple Sclerosis Manifestation
Bibliographic record
Abstract
Evaluation of: Banwell B, Bar-Or A, Arnold DL et al. Clinical, environmental, and genetic determinants of multiple sclerosis in children with acute demyelination: a prospective national cohort study. Lancet Neurol. 10(5), 436–445 (2011). This study represents a prospective Canadian cohort study investigating risk of multiple sclerosis (MS) development in children presenting with an acute demyelination event. Out of 302 children followed for a median of 3.14 years, 63 (21%) were diagnosed with MS during this period of time. HLA-DRB1*15 alleles, remote Epstein–Barr virus infection and reduced vitamin D levels were each independently associated with increased MS risk but did not show interacting effects. Based on MRI findings, age of onset and clinical presentation, the authors developed a decision tree, suggesting the highest risk for children with T2 lesions in baseline MRI that were >11.85 years of age at onset (60.6%). While this seems a helpful preliminary tool for clinicians, longer follow-up time as well as integration of additional genetic and environmental variables may allow an even more thorough risk estimation in future studies.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".